1password
Created by steipete
Set up and use 1Password CLI (op). Use when installing the CLI, enabling desktop app integration, signing in (single or multi-account), or reading/injecting/running secrets via op.
- Skill
Skills from verified OpenClaw publishers, and official plugins. Each entry links to its ClawHub page, which shows the current security scan.
Created by steipete
Set up and use 1Password CLI (op). Use when installing the CLI, enabling desktop app integration, signing in (single or multi-account), or reading/injecting/running secrets via op.
Created by nvidia
Official NVIDIA-authored guidance for NVIDIA cuDF GPU DataFrames, pandas acceleration, dask-cuDF, ETL, joins, groupby, CSV/Parquet I/O, nullable semantics, and multi-GPU DataFrame workloads.
Created by aws
Use when adding capabilities to an existing agent project — memory, app integration, VPC, multi-agent, migration, model changes, browser, code interpreter, or resource removal. Triggers on: "add memory", "remember across sessions", "call agent from app", "invoke agent from code", "auth to call agent", "streaming responses", "VPC", "VPC connectivity", "VPC error", "can't reach from VPC", "multi-agent", "A2A", "A2A auth", "orchestrator not delegating", "specialist not called", "migrate Bedrock Agent", "after import", "migration issue", "framework for migration", "change model", "browser tool", "code interpreter", "delete agent", "tear down", "agentcore remove", "cross-account memory", "resource-based policy on memory", "pay for x402 content", "402 Payment Required", "microtransactions", "paid API or tool". Not for connecting to external APIs via Gateway — use agents-connect. Not for scaffolding a new project — use agents-get-started. Not for CLI/dev server errors — use agents-debug. Strands vs LangGraph in a migration context routes here.
Created by aws
Use when connecting your agent to external APIs, tools, or services via Gateway, or restricting tool access with Cedar policies. Handles gateway setup, target types, outbound auth (OAuth, API key, IAM), credentials, and Cedar policy authoring. Triggers on: "connect to API", "add gateway", "connect to MCP server", "Lambda tools", "OpenAPI", "gateway target", "Cedar policy", "restrict tools", "policy engine", "gateway auth error", "store API key", "outbound credential", "env var API key", "API key None after deploy", "credential not available after deploy", "should this be a gateway target", "give my agent tools", "add tools to agent". Not for inbound auth (who can call your agent) — use agents-harden. Not for debugging agent behavior — use agents-debug. Not for VPC networking errors (agent can't reach APIs due to VPC) — use agents-build. Not for creating or hosting a new MCP server project — use agents-get-started.
Created by aws
Use when your agent or environment is broken — wrong answers, errors, timeouts, tool failures, or CLI issues. Reads traces and logs to diagnose root causes. Also checks prerequisites when the CLI itself isn't working. Triggers on: "agent not working", "wrong answer", "agent error", "tool call failing", "debug agent", "check logs", "read traces", "broken", "500 error", "424 error", "model access denied", "command not found", "stuck in DELETING", "maxVms exceeded", "cold start diagnosis", "cold start slow", "agentcore create error", "create failed", "exit code 7", "connection refused local dev". Not for deploy failures — use agents-deploy. Not for performance tuning without errors — use agents-optimize. Not for VPC configuration — use agents-build. Not for observability setup or missing logs — use agents-optimize.
Created by aws
Use when deploying your agent to AWS, or when a deploy has failed. Handles pre-flight validation, CDK/IAM/quota error diagnosis, version management, rollback, and canary deployments. Triggers on: "deploy my agent", "agentcore deploy", "deploy failed", "CDK error", "rollback", "canary deploy", "pin version", "redeploy", "deploy stuck". Not for production hardening — use agents-harden. Not for adding capabilities before deploy — use agents-build or agents-connect. Not for VPC configuration errors — use agents-build.
Created by aws
Use when a developer wants to create a new agent project or get started with AgentCore. Handles framework selection, project scaffolding, first deploy, and first invocation. Triggers on: "build an agent", "create an agent", "get started", "new project", "agentcore create", "which framework", "Strands vs LangGraph", "hello world agent", "first agent", "create MCP server", "host MCP server", "agentcore dev", "dev server", "what port", "local development". Not for adding capabilities to existing projects — use agents-build or agents-connect. Strands vs LangGraph in a migration context routes to agents-build, not here. Connecting to an existing MCP server routes to agents-connect, not here.
Created by aws
Use when preparing your agent for production — IAM scoping, inbound auth (JWT, SigV4), secrets management, cold start optimization, session lifecycle, rate limiting, input validation, and quota guidance. Triggers on: "production checklist", "harden agent", "production ready", "secure agent", "inbound auth", "going live", "cold start optimization", "session lifecycle", "StopRuntimeSession", "quota", "throttling", "maxVms", "rate limit", "security audit of outbound API calls", "gateway target audit for production", "restrict who can call", "lock down endpoint", "only our app can call". Not for Cedar tool-restriction policies — use agents-connect. Not for quality measurement — use agents-optimize. Not for outbound credential storage or API key wiring — use agents-connect. Not for A2A agent-to-agent auth — use agents-build. Cold start observation and diagnosis (not optimization) routes to agents-debug.
Created by aws
Use when measuring or improving agent quality and performance — set up evaluators, online monitoring, CI/CD quality gates, observability, or cost optimization. Triggers on: "evaluate my agent", "add evaluator", "measure quality", "quality gate", "run evals", "agent too slow", "why is it slow", "reduce latency", "set up observability", "CloudWatch dashboard", "how much does my agent cost", "cost optimization", "logs not showing up", "logs missing", "spans not found", "eval failing", "eval error", "dev traces", "local traces", "agentcore dev traces", "traces to CloudWatch". Not for debugging errors or crashes — use agents-debug. Slow but correct routes here; broken routes to debug.
Created by sdk-team
Perform SysOM performance profiling on ACK cluster Pods to identify root causes of Pod-level performance issues (CPU throttling, OOM, memory distribution, ne...
Created by sdk-team
Perform SysOM deep OS-level diagnosis on Alibaba Cloud ECS instances to identify root causes of performance issues (CPU spikes, memory leaks, IO latency, etc...
Created by sdk-team
Perform SysOM deep diagnosis on Alibaba Cloud PAI products (EAS / DLC) to identify root causes of instance-level issues. Use when users report: - EAS instanc...
Created by sdk-team
Execute code in a secure cloud sandbox via AgentBay SDK. Use this skill whenever users request to run, execute, or evaluate code (Python, JavaScript, R, Java...
Created by sdk-team
Operate Alibaba Cloud CloudMonitor Service (CMS) AgentLoop ContextStore by using aliyun CLI with api version 2024-03-30. Use when users mention CloudMonitor,...
Created by sdk-team
Operate Alibaba Cloud AgentLoop Dataset resources with aliyun CLI and the AgentLoop API version 2026-05-20. Use when requests concern AgentLoop datasets, dat...
Created by sdk-team
Proactively use AgentLoop Recall to retrieve prior Alibaba Cloud AgentLoop experience through the bundled SearchContext CLI whenever the user asks or implies...
Created by sdk-team
当用户想体验、探索或获取 GitHub 热门 AI 开源项目的云端一键部署推荐时触发此技能,此技能由2部分组成:1)前端页面通过「AI尝鲜实验室」页面展示AI项目,「AI尝鲜实验室」页面地址:https://www.aliyun.com/daily-act/ecs/ai-innovation-lab;2)后端的一...
Created by sdk-team
阿里云告警智能路由技能。解析告警消息,提取关键参数,查询CMDB获取资源关系, 根据意图分类路由到数据库诊断、网络可达性分析或ECS实例诊断,最终生成根因分析报告。 触发词: "告警", "alert", "异常", "故障", "error", "网络不通", "端口异常", "使用率", "连接失败", "服...
Created by sdk-team
Alibaba Cloud AnalyticDB for MySQL Operations & Diagnosis Assistant. Supports cluster info queries, performance monitoring, slow query diagnosis, running SQL...
Created by sdk-team
Implement AI Coaching best practices on AnalyticDB for PostgreSQL (ADBPG): Leverage Supabase projects (training data management) + ADBPG instances with vecto...
Created by sdk-team
ADBPG Knowledge Base Management: Create knowledge bases, upload documents, search, Q&A. Triggers: "knowledge base", "document library", "document upload", "k...
Created by sdk-team
AnalyticDB PostgreSQL Query Skill. Any AI Agent with shell execution capability can use this Skill to connect to an AnalyticDB PostgreSQL database via psql,...
Created by sdk-team
Manage the full lifecycle of ADBPG Supabase projects. Use for listing/querying projects, create, pause/resume, reset password, API Keys, and security IP mana...
Created by sdk-team
Perform instance inspection on Alibaba Cloud Cloud-Native API Gateway, AI Gateway, and API Gateway, and query Cloud Monitor metric data. Use when the user ne...
Created by sdk-team
Use Alibaba Cloud DashScope API and LingMou to generate AI video and speech. Seven capabilities — (1) LivePortrait talking-head (image + audio → video, two-s...
Created by sdk-team
Generates, edits, and analyzes images using Alibaba Cloud DashScope API with supported qwen and wan2.7 models via predefined scripts.
Created by sdk-team
Alibaba Cloud Bailian Knowledge Base Retrieval Tool. Use HTTPS API to query and retrieve knowledge base content. Use when: User needs to query knowledge base...
Created by sdk-team
AI-powered video creation and editing supporting text-to-video, image-to-video, reference-to-video, video editing, and video content analysis via Alibaba Clo...
Created by sdk-team
Alibaba Cloud Bailian Video Analysis Skill. Use for intelligent video comprehension and analysis via the Bailian (QuanMiaoLightApp) API. **Required API Produ...
Created by sdk-team
AI voice creation skill supporting speech recognition (ASR) and text-to-speech (TTS). Uses qwen3-asr-flash-filetrans, qwen-tts and other models. Use this ski...
Created by sdk-team
Draw cloud architecture diagrams via CADT AI agent. Submit a product/resource description, the backend creates the architecture and returns a summary. Trigge...
Created by sdk-team
Build and deploy applications to Alibaba Cloud ECS — Local build + script injection + InstallApplication async deployment. Triggers: build, deploy, CI/CD, co...
Created by sdk-team
Use CADT probe service to discover cloud resources under an Alibaba Cloud account. Use this skill when users need to: (1) Discover existing cloud resources v...
Created by sdk-team
Alibaba Cloud Cloud Firewall ACL rule read-only diagnostic assistant. **Trigger Scenarios**: Diagnose ACL rules not taking effect, troubleshoot Internet/NAT/...
Created by sdk-team
Query and analyze Alibaba Cloud public network exposure, identify unnecessary exposed assets and ports, assess exposure risks, and generate remediation recom...
Created by sdk-team
Query and analyze security events and alerts detected by Alibaba Cloud Firewall IPS (Intrusion Prevention System), helping quickly locate threats and provide...
Created by sdk-team
Alibaba Cloud Firewall Status Overview Skill. One-click query of overall cloud firewall status including asset management, border firewall switch status, and...
Created by sdk-team
Send WhatsApp messages via Alibaba Cloud Chat App Message Service (CAMS). Supports both template messages and custom (free-form) messages. Use this skill whe...
Created by sdk-team
ClickHouse cluster migration planner. Use when planning data migration between ClickHouse clusters, including cross-cluster migrations, horizontal scaling, d...
Created by sdk-team
Alibaba Cloud cleversee CLI skill. web-search is a general-purpose, AI/agent-oriented internet search providing high-quality, low-latency neural knowledge re...
Created by sdk-team
Guide users to manage Alibaba Cloud resources using the Aliyun CLI command-line tool. Covers CLI installation, credential configuration, plugin management, c...
Created by sdk-team
Alibaba Cloud ECS File Backup Essential Edition (ECS文件备份基础版). One-click activation, daily automatic backup, 30-day file recovery, 100 GiB free quota. Trigger...
Created by sdk-team
Diagnose Alibaba Cloud Cloud Firewall VPC firewall provisioning failures, route policy configuration failures, and closure pre-check risks using read-only Cl...
Created by sdk-team
Create and query Alibaba Cloud alert rules via CLI. Supports CMS 1.0 cloud resource monitoring (ECS, RDS, SLB, etc.) and CMS 2.0 advanced monitoring (Prometh...
Created by sdk-team
Alicloud CMS Dataset lifecycle management and querying skill. Covers listing, inspecting, creating, updating, deleting datasets and executing dataset queries...
Created by sdk-team
Alibaba Cloud Compute Provision - Automatically selects an Alibaba Cloud compute resource (ECS, FC, ACK, PAI) based on user intent, then creates instances an...
Created by sdk-team
Use this skill when users ask about SASE terminal device management, user account queries, inactive device analysis, or device locking on Alibaba Cloud SASE...
Created by sdk-team
Diagnose and manage Alibaba Cloud databases through natural language. Use when users need to troubleshoot database performance issues (high CPU, slow queries...
Created by sdk-team
Invoke Alibaba Cloud Apsara Data Agent for Analytics via CLI to perform natural language-driven data analysis on enterprise databases. Data Agent for Analyti...
Created by sdk-team
Alibaba Cloud DataHub full-lifecycle resource management skill. Use for creating, querying, updating, and deleting DataHub Projects, Topics, and Subscription...
Created by sdk-team
Alibaba Cloud DataWorks Data Governance Tag Management Skill. Use for managing data asset tags: creating, updating, querying tag keys/values, binding/unbindi...
Created by sdk-team
DataWorks Operations Center assistant for task and workflow operations, alert rule creation and management. Covers troubleshooting, failure recovery, baselin...
Created by sdk-team
DataWorks Data Quality (Read-Only): Query rule templates, data quality monitors (scans), alert rules, and scan run records/logs. Uses aliyun CLI to call data...
Created by sdk-team
DataWorks data development Skill. Create, configure, validate, deploy, update, move, and rename nodes and workflows. Manage components, file resources, and U...
Created by sdk-team
DataWorks Infrastructure Management: Create and query operations for Data Sources (50 types), Compute Resources, and Serverless Resource Groups, plus connect...
Created by sdk-team
DataWorks metadata Skill for Alibaba Cloud — browse Data Map metadata and perform non-destructive writes via Aliyun CLI. READ scope: list/get catalogs, datab...
Created by sdk-team
DataWorks Workspace Lifecycle Management Skill. Used for creating workspaces, querying workspace information, and adding workspace members with role authoriz...
Created by sdk-team
Alibaba Cloud scenario-based skill. Query and troubleshoot Alibaba Cloud DDoS Native Protection (Anti-DDoS Origin) network-layer intercept records via aliyun...
Created by sdk-team
[user] Perform security inspection and monitoring for Alibaba Cloud DDoS security products, covering DDoS Basic Protection, DDoS Native Protection, and DDoS...
Created by sdk-team
Alibaba Cloud DDoS Pro (ddoscoo) domain-level (Layer 7 website) configuration full export and import. Use for disaster recovery backup, configuration audit,...
Created by sdk-team
Query Alibaba Cloud DDoS Pro (ddoscoo) block/intercept reasons via SLS full logs and ddoscoo CLI. Analyzes detailed information about intercepted requests in...
Created by sdk-team
Query Catalog, database, and table metadata resources in Alibaba Cloud Data Lake Formation (DLF). Provides read-only queries via the DLF OpenAPI Python SDK,...
Created by sdk-team
Create an agent platform instance in DMS via Alibaba Cloud OpenAPI. Supports Simple Mode and Advanced Mode. Use this skill when the user wants to provision,...
Created by sdk-team
Alibaba Cloud DMS Database Read/Write Skill. Use this skill to search for target databases in DMS and execute SQL queries and data modifications. Triggers: "...
Created by sdk-team
Alicloud DNS Diagnostic Skill. Diagnose DNS resolution failures, domain unreachable issues, NXDOMAIN errors, DNS record propagation delays, DNS hijacking, an...
Created by sdk-team
Alibaba Cloud DocMind intelligent document parsing tool. Supports PDF, Word, PPT, Excel, images and more, outputting structured Markdown/JSON/HTML. Offers tw...
Created by sdk-team
Create, view, and manage Alibaba Cloud DTS data migration/synchronization tasks interactively. Automatically triggered when the user mentions keywords such a...
Created by sdk-team
Query DTS (Data Transmission Service) task status and details across all Alibaba Cloud regions. **v12.1: Enhanced reliability** - Timeout increased to 10s, e...
Created by sdk-team
Alibaba Cloud EBS Disk Monitoring and Metric Analysis Skill. Query and analyze monitoring metrics for single or multiple cloud disks, supporting time-series...
Created by sdk-team
阿里云 ECS 跨可用区灾备恢复技能。从现有 ECS 实例创建系统镜像,并在不同可用区部署新实例。 当用户提到以下场景时使用:可用区故障恢复、跨可用区备份、跨可用区实例克隆、ECS 灾备、 用镜像在其他可用区创建实例、"帮我做个镜像然后换个可用区创建实例"等。 也适用于:灾备实例、镜像备份、换个可用区创建实例、可...
Created by sdk-team
Alibaba Cloud ECS snapshot-based cross-AZ disaster recovery skill. Two scenarios: Scenario A (Full Instance Recovery): Recover ECS instance to a different AZ...
Created by sdk-team
ECS Health Inspection - Perform comprehensive health inspection on Alibaba Cloud ECS instances. Checks CPU usage, system load, memory usage, disk IO (BPS and...
Created by sdk-team
Alibaba Cloud ECS extension installation skill. Supports querying available extension lists, checking if a specific extension is available, and one-click ins...
Created by sdk-team
Alibaba Cloud ECS Patch Management Skill. Use for scanning and installing OS patches on ECS instances via OOS (Operation Orchestration Service). Triggers: "p...
Created by sdk-team
Diagnose ECS instance reboot or crash issues. First checks for abnormal maintenance events, then uses Cloud Assistant to check for internal restarts or kerne...
Created by sdk-team
阿里云E-HPC Instant计算平台作业管理工具包,支持E-HPC Instant(EHPC Instant/ehpcinstant)作业的创建/提交、查询、获取详情、查询日志、删除等操作。当用户需要创建作业、查询作业列表、获取作业详情、删除作业、查询作业日志时使用。
Created by sdk-team
Alibaba Cloud Elasticsearch instance diagnosis skill. Use for cluster health checks, troubleshooting, and performance analysis on Elasticsearch instances. Tr...
Created by sdk-team
Alibaba Cloud Elasticsearch Instance & Config Management Skill. Use for managing the lifecycle of an Elasticsearch instance (create, query, list, restart, up...
Created by sdk-team
Use when the user needs to generate a log collection configuration file (OpenTelemetry Collector or Elastic Beats / Filebeat) that writes logs to Alibaba Clo...
Created by sdk-team
Alibaba Cloud Elasticsearch Instance Network Management Skill. Use for managing ES instance network configurations including triggering network, Kibana PVL n...
Created by sdk-team
Alibaba Cloud EMAS APM (mobile Application Performance Monitoring) issue troubleshooting skill. Covers the 4 read-only OpenAPIs exposed by the `aliyun emas-a...
Created by sdk-team
EMAS APM Remote Log (TLog) CLI Skill. Use for remote log retrieval, task management, and log query operations via Alibaba Cloud CLI. Triggers: "EMAS APM", "r...
Created by sdk-team
Manage the full lifecycle of Alibaba Cloud E-MapReduce (EMR) ECS clusters—creation, scaling, renewal, and status queries. Use this Skill when users want to s...
Created by sdk-team
Manage the full lifecycle of Alibaba Cloud EMR Serverless Spark workspaces—create workspaces, submit jobs, Kyuubi interactive queries, resource queue scaling...
Created by sdk-team
Alibaba Cloud EMR Serverless StarRocks development & operations assistant. Covers five scenarios: cluster connection, schema design, data ingestion, SQL deve...
Created by sdk-team
Manage the full lifecycle of Alibaba Cloud EMR Serverless StarRocks instances — create, scale, configure, maintain and diagnose. Use this Skill when operatio...
Created by sdk-team
Alibaba Cloud OpenAPI troubleshooting skill. Use this skill when the user needs to diagnose API call failures using Request ID, error codes, or error message...
Created by sdk-team
Deploy HTML pages, static directories, or custom edge functions to Alibaba Cloud ESA edge nodes. Manage Edge KV for distributed key-value storage. Use when d...
Created by sdk-team
Use this skill when users want to search, discover, browse, or find Alibaba Cloud (阿里云) agent skills. Triggers include: "find a skill for X", "search aliclou...
Created by sdk-team
Alibaba Cloud FinOps Resource Inspection Skill. Performs cost-oriented health inspection across all regions of an Alibaba Cloud account. Scans ECS, RDS, EIP,...
Created by sdk-team
Manage Alibaba Cloud Flink VVP instances and namespaces through create/query operations only. Use when user asks to create or query Flink instances, namespac...
Created by sdk-team
阿里云实时计算 Flink 版专家助手。Use when you need expert assistance with Alibaba Cloud Realtime Compute for Flink (阿里云实时计算 Flink 版), including product parameters, engine...
Created by sdk-team
Alibaba Cloud PolarDB/RDS MySQL historical lock wait root cause analysis skill. Diagnoses and analyzes historical lock wait issues, identifies the complete l...
Created by sdk-team
Alibaba Cloud Hologres Instance Management Skill. Use for listing and querying Hologres instances. Triggers: "hologres", "list instances", "get instance deta...
Created by sdk-team
Alibaba Cloud HTTPDNS OpenAPI management skill. Use when the user needs to retrieve HTTPDNS account secret information, add/delete/list/configure HTTPDNS dom...
Created by sdk-team
Alibaba Cloud ICP Filing Success Data Query Skill. Use for querying ICP filing success information including entity, website, app details and risk alerts aft...
Created by sdk-team
Real-time web search and page reading using Aliyun IQS APIs. Use this skill FIRST when the user needs current information, news, facts verification, URL cont...
Created by sdk-team
7-day weather forecast query powered by Alibaba Cloud IQS web search and page reading. Triggers: "weather forecast", "7-day weather", "weekly weather", "weat...
Created by sdk-team
Performs capacity assessment on Alibaba Cloud Kafka instances to determine whether throttling is occurring and recommends instance upgrades when capacity is...
Created by sdk-team
Alibaba Cloud KMS Secret Management Skill. Used for managing secrets in KMS, supporting create, delete, update, query operations, version management, and rot...
Created by sdk-team
Health inspection for Alibaba Cloud Redis (ApsaraDB for Redis / Tair) instances. Generates HTML reports across 7 dimensions: instance basic info, current ses...
Created by sdk-team
向量数据库迁移助手 — 从 Milvus、Elasticsearch、Lindorm 或 Qdrant 迁移向量数据至阿里云 Lindorm。支持从源库导出为 CSV 文件后上传 OSS 再导入。通过对话收集参数,直接生成并执行代码完成迁移。支持断点续传、字段排除、DDL 预览确认等。 Triggers: "迁移...
Created by sdk-team
Alibaba Cloud Live Recording Diagnostic Skill. Use for diagnosing live stream record issues including missing recordings, file generation problems, unexpecte...
Created by sdk-team
MMS skill for MaxCompute data migration operations. Handles planning, source/metadata lookup, mapping, job/timer execution, monitoring, and managed migration...
Created by sdk-team
This skill should be used when the user asks to "build a frame extraction job" / "视频抽帧 / 抽关键帧", "label driving images with a VLM" / "图像打标 / image labeling wi...
Created by sdk-team
Generate Alibaba Cloud MCP Core RunScript-compatible Python scripts from natural-language cloud operation requests. Use when the user explicitly asks for Run...
Created by sdk-team
Migrate cloud resources from AWS/Azure to Alibaba Cloud. Use when users want to "move to Alibaba Cloud", ask what Alibaba Cloud services replace their AWS/Az...
Created by sdk-team
当用户提供迁云调研材料(Excel/Word/文本/CSV文件)并要求生成结构化调研报告时,自动分析汇总并输出 .docx 文档。涵盖客户画像、架构现状、云产品映射、版本兼容性风险、迁移风险、待确认事项。支持 AWS/Azure/GCP/华为云/腾讯云/百度云/IDC 到阿里云的迁移评估。适用于阿里云迁云项目售前...
Created by sdk-team
多厂商云产品映射 Skill,支持 AWS、腾讯云、华为云、Azure 到阿里云的全量映射,涵盖产品名称映射、实例规格映射、用量换算和阿里云实时询价。当用户需要将其他云资源迁移到阿里云、需要规格对照表、需要估算阿里云成本、或执行产品询价时使用。
Created by sdk-team
生成从友商云(AWS、Azure、华为云、腾讯云)迁移到阿里云的迁移方案。当用户提供友商云产品列表时,给出产品映射和详细迁移方案。适用于用户提到"迁云"、"迁移方案"、"云迁移"、"从XX云迁移到阿里云"等场景。
Created by sdk-team
跨大数据引擎的 SQL 语法转换技能(DML/DDL/存储过程)。覆盖标识符、数据类型、函数、查询语法、分布/分区策略、存储过程/函数、外表等重写场景。目前已实现 Synapse → Hologres,框架为其他引擎对(如 SQL Server → MaxCompute、Hive → Hologres、Postg...
Created by sdk-team
Alibaba Cloud Milvus full-stack Skill for two planes: control-plane instance management via aliyun CLI, and data-plane Milvus operations via pymilvus. Use wh...
Created by sdk-team
Run a read-only health inspection on Alibaba Cloud MongoDB (DDS) instances and produce a standardized report. Supports Sharding and ReplicaSet architectures...
Created by sdk-team
Alibaba Cloud MongoDB full lifecycle management: create/query/scale/delete standalone, replica set, sharded cluster instances. Covers node management, securi...
Created by sdk-team
Perform batch inspection on Alibaba Cloud MSE Nacos instances, checking configuration count usage, connection count usage, QPS usage, and TPS usage. Supports...
Created by sdk-team
Diagnose and troubleshoot Alibaba Cloud NAS mount failures. Use when users encounter NAS mount errors on Linux or Windows, including NFS and SMB protocol mou...
Created by sdk-team
Configure HTTP-to-HTTPS redirects on Alibaba Cloud ALB, including inspecting the current listener and rule setup, creating missing HTTP or HTTPS listeners, a...
Created by sdk-team
Scenario-based skill for connecting Linux servers to Alibaba Cloud VPC via IPsec VPN. Configure StrongSwan on the Linux server to establish dual-tunnel IPsec...
Created by sdk-team
Allocate Elastic IP Address (EIP) and bind to existing Alibaba Cloud resources. Supports ECS instances, ENI, CLB, NAT Gateway, HAVIP, and IP addresses. Focus...
Created by sdk-team
Deploy acceleration services using Alibaba Cloud Global Accelerator (GA). Applicable to cross-border Web/API acceleration, global gaming acceleration, audio/...
Created by sdk-team
Comprehensive health inspection tool for Alibaba Cloud network products (EIP, CBWP, NAT Gateway, CEN, Transit Router, Physical Connection, VBR, Global Accele...
Created by sdk-team
Public network MTR diagnosis tool. Supports both manual guidance and Cloud Assistant automation modes. Manual mode guides users to run MTR tools locally (mac...
Created by sdk-team
Perform Alibaba Cloud NIS (Network Intelligence Service) network path reachability analysis with forward/reverse path diagnosis, topology visualization, and...
Created by sdk-team
Alibaba Cloud APIG Migration Skill. Migrate Kubernetes nginx Ingress resources to Alibaba Cloud API Gateway (APIG, ingressClass: apig). Users provide Ingress...
Created by sdk-team
Alibaba Cloud MaxCompute Cost Analysis Skill. Analyze MaxCompute pay-as-you-go costs including billing, storage metrics, and compute metrics. Triggers: "maxc...
Created by sdk-team
Query MaxCompute (ODPS) Information Schema metadata views. Tenant-level (SYSTEM_CATALOG.INFORMATION_SCHEMA.*, recommended) or project-level (Information_Sche...
Created by sdk-team
Use this skill for MaxFrame SDK development and documentation navigation on Alibaba Cloud MaxCompute (ODPS). Helps answer MaxFrame API, concept, official exa...
Created by sdk-team
Alibaba Cloud MaxCompute Project Management Skill. Use for creating, querying, and listing MaxCompute projects. Triggers: "maxcompute project", "odps project...
Created by sdk-team
MaxCompute Quota Management Skill. Use for managing MaxCompute/ODPS quota resources including pay-as-you-go quota creation, query, and listing operations. Tr...
Created by sdk-team
Provides MaxCompute SQL intelligent generation capabilities for AI agents, covering text2sql conversion principles, dialect syntax differences (DQL/DDL/DML),...
Created by sdk-team
Alibaba Cloud OOS ChatOps Agent for natural-language cloud resource management and O&M operations. Supports querying ECS/RDS/VPC/SLB resources, executing ope...
Created by sdk-team
OOS template intelligent generation skill. Use when users need to create, write, or generate Alibaba Cloud OOS (Operation Orchestration Service) automation t...
Created by sdk-team
Deploy OpenClaw AI agent platform on Alibaba Cloud ECS and integrate with DingTalk bot. OpenClaw (formerly Clawdbot/Moltbot, 中文名"龙虾") is an open-source AI as...
Created by sdk-team
Alibaba Cloud OpenSearch instance management skill. Create and query OpenSearch instances. Note: OpenSearch instance and OpenSearch app group are synonymous...
Created by sdk-team
Alibaba Cloud OSS scheduled local-folder sync skill using aliyun CLI, including integrated ossutil commands for incremental upload. Use when the user wants t...
Created by sdk-team
Alicloud OSS AI Content Awareness Skill. Use for enabling and querying OSS semantic search with AI-powered content understanding. Triggers: "OSS AI Content A...
Created by sdk-team
Alicloud Service Scenario-Based Skill. Use for diagnosing local-to-OSS network state, upload/download bandwidth, download time, and local symlink issues with...
Created by sdk-team
Process images, audio, and video files stored in Alibaba Cloud OSS. Supports 14+ image operations (resize, crop, rotate, watermark, blur, format conversion,...
Created by sdk-team
PAI-DLC job diagnostics and health inspection. Queuing-stuck root cause analysis, failed-job localization, cluster health checks. Companion to the `alibabacl...
Created by sdk-team
Manage the full lifecycle of Alibaba Cloud PAI DSW (Data Science Workshop) instances — create, update, query, list, start, stop, and look up ECS specs. Trigg...
Created by sdk-team
Deploy AI models as PAI-EAS inference services. Supports LLMs (Qwen, Llama), image gen (SD, SDXL), speech synthesis, and more. When to use: deploy models, cr...
Created by sdk-team
PAI-EAS service diagnosis and troubleshooting. Diagnose startup failures, error logs, slow responses, instance restarts, OOMKilled, ImagePullBackOff, CrashLo...
Created by sdk-team
Query FeatureDB read/write usage data from PAI-FeatureStore. Use for analyzing consumption, usage trends, and cost estimation by official pricing. Supports d...
Created by sdk-team
Manage Alibaba Cloud PAI compute Nodes — list nodes within a ResourceGroup or Quota, inspect a node's status, hardware spec (GPU / CPU / memory) and resource...
Created by sdk-team
End-to-end Alibaba Cloud PAI Quota lifecycle management via `aliyun paistudio` (Quota CRUD, scale, workload inspection) and `aliyun aiworkspace` (binding Quo...
Created by sdk-team
Alibaba Cloud PAI-Rec Engine Diagnostic and Configuration Validation Skill. Use for diagnosing PAI-Rec engine interface issues and validating engine configur...
Created by sdk-team
End-to-end Alibaba Cloud PAI ResourceGroup (resource pool) lifecycle management via `aliyun paistudio`. Covers list / get / create / update / delete of Resou...
Created by sdk-team
Alibaba Cloud PAI Workspace Management Skill. Create, query, and list workspaces on the Platform for AI (PAI). Triggers: "create PAI workspace", "query PAI w...
Created by sdk-team
Implements exact filename search, fuzzy filename search, semantic file search, and image-based image search Triggers: "PDS drive file search", "PDS image sea...
Created by sdk-team
Alibaba Cloud PolarDB Database AI Assistant. For PolarDB MySQL/PostgreSQL cluster management, instance inspection, performance diagnostics, parameter explana...
Created by sdk-team
Pre-release SQL assessment and optimization for PolarDB MySQL. Combines 28+ static lint rules with Alibaba Cloud DAS dynamic diagnosis. Detects full table sc...
Created by sdk-team
Alibaba Cloud PolarDB-X Distributed Database AI Assistant. Use for PolarDB-X cluster management, topology inspection, performance diagnostics, SQL optimizati...
Created by sdk-team
Design partition schemes, select partition keys, create GSI, and write SQL for PolarDB-X 2.0 Enterprise Edition AUTO mode databases, handling PolarDB-X vs My...
Created by sdk-team
Alibaba Cloud PTS (Performance Testing Service) scenario-based skill for creating and managing stress testing scenarios. Supports both PTS native HTTP/HTTPS...
Created by sdk-team
Router skill for Alibaba Cloud PTS (Performance Testing Service) operations. Resolves the user's PTS intent and delegates execution to the appropriate sub-sk...
Created by sdk-team
Alibaba Cloud PTS report analyzer worker skill — analyzes past PTS stress-testing reports (HistoryReportId), identifies report-observable performance issues...
Created by sdk-team
Alibaba Cloud PTS task CRUD worker skill — executes concrete PTS scenario operations (create / query / start / stop / report / delete) for both PTS native HT...
Created by sdk-team
Alibaba Cloud RAM permission diagnosis and repair assistant. When an agent encounters any permission-related error while operating Alibaba Cloud resources (4...
Created by sdk-team
Batch health inspection for Alibaba Cloud RDS MySQL instances. Supports single, multiple, or all-instance global scan with configurable time window (default...
Created by sdk-team
Batch health inspection of Alibaba Cloud RDS PostgreSQL instances with detailed HTML reports on resource use, alerts, slow logs, long transactions, and repli...
Created by sdk-team
Alibaba Cloud Resource Center - Global Resource Inventory, Search & Statistics Skill. Provides cross-region, cross-product, and cross-account resource invent...
Created by sdk-team
Alibaba Cloud content moderation and AI guardrails automated testing. Tests sample content against moderation APIs, compares multiple services, tracks reques...
Created by sdk-team
Alibaba Cloud Security Center (SAS) CWPP host security alert handling skill. Used for querying, analyzing, and handling security alerts from Cloud Security C...
Created by sdk-team
Alibaba Cloud Security Center incident management skill. Query security incidents, threat trends, and incident details. Triggers: "云安全中心", "安全事件", "事件查询", "安...
Created by sdk-team
Alibaba Cloud Security Center (SAS) agent onboarding and management assistant. Use this skill when the user wants to onboard servers to Security Center, inst...
Created by sdk-team
Alibaba Cloud Security Center (SAS) malicious file detection skill. Use when the user asks to check whether a file is malicious, scan a file for malware, det...
Created by sdk-team
Manage multiple Alibaba Cloud accounts and batch-export Security Center (SAS) baseline and vulnerability reports via the aliyun CLI and Python scripts. Suppo...
Created by sdk-team
Perform security operations on OpenClaw environments by calling Alibaba Cloud Security Center (SAS) and ECS APIs via the aliyun CLI. Supports asset queries,...
Created by sdk-team
Alibaba Cloud Security Center (SAS) Overview Data Query Skill. Retrieves security score, asset status, risk governance, asset risk trends, and billing info....
Created by sdk-team
SASE Private Access (PA) Network Diagnosis Skill. Creates and queries SASE Private Access network diagnosis tasks to troubleshoot connectivity issues between...
Created by sdk-team
Initialize and manage Alibaba Cloud SDK clients in Go. Covers sync.Once singleton, goroutine safety, endpoint vs region configuration, VPC endpoints, and deb...
Created by sdk-team
阿里云已签约客户安全产品配置基线体检与整改清单生成。扫描 WAF 3.0 / SAS / CFW / DDoS 四类产品共 60 项配置,按覆盖率/防护强度/响应时效/合规对齐/最佳实践五维度打分(百分制), 输出 HTML 报告 + Excel 整改清单 + Markdown 摘要三件套。 何时使用:客户问"配...
Created by sdk-team
查询阿里云四款安全产品(云安全中心 / WAF / 云防火墙 / RASP)对指定漏洞的防护覆盖情况,输入 CVE 编号或 AVD 编号即可返回各产品是否已覆盖。当客户或售前 SA 问"我们产品能不能防住 CVE-XXXX?"、"WAF 覆盖这个漏洞了吗?"、"新爆出来的 XX 漏洞有没有覆盖?"、"高危漏洞 Y...
Created by sdk-team
Invoke SLS DataAgent to autonomously perform data acquisition, processing, analysis, and visualization for Alibaba Cloud SLS (Simple Log Service). Acts as a...
Created by sdk-team
Alibaba Cloud SLS (Simple Log Service) index configuration manager skill. Use this skill to help users inspect, create, update, or delete a Logstore index, g...
Created by sdk-team
Alibaba Cloud SLS (Simple Log Service) log query & analysis skill. Use this skill to help users write, explain, optimize, execute, or troubleshoot SLS index...
Created by sdk-team
Provide Alibaba Cloud SLS / Aliyun Log SDK installation, quickstart, usage guidance, and SDK selection advice across languages. Use when users ask how to ins...
Created by sdk-team
Query SAG (Smart Access Gateway / 智能接入网关) configurations and perform status inspections via Alibaba Cloud OpenAPI. Generates inspection report files. Use whe...
Created by sdk-team
Send short messages (SMS) to specified phone numbers via Alibaba Cloud Short Message Service. Supports verification codes, notification messages, and marketi...
Created by sdk-team
Deploy Alibaba Cloud official tech solutions. Trigger when the user mentions an Alibaba Cloud solution, pastes a solution URL (aliyun.com/solution/tech-solut...
Created by sdk-team
Alibaba Cloud SRE skill for cloud infrastructure diagnosis, health inspection, capacity planning, incident response, and security audit, including scenarios...
Created by sdk-team
Alibaba Cloud STAROps Agent AIOps diagnostic skill. Use this skill to help users diagnose service errors, analyze root causes, query workspace/service topolo...
Created by sdk-team
Alibaba Cloud Tablestore Agent Storage Skill. Use for building and managing Tablestore-based knowledge bases with the `tablestore-agent-storage` Python SDK....
Created by sdk-team
This skill installs and configures the **Tablestore Mem0** plugin for OpenClaw. Tablestore Mem0 uses Alibaba Cloud Tablestore as the vector store backend for...
Created by sdk-team
Alibaba Cloud Tablestore (OTS) Read-Only Operations Skill. Use for querying Tablestore instances and data tables via Aliyun CLI. Triggers: "tablestore", "ots...
Created by sdk-team
Alibaba Cloud Tair (Redis OSS-Compatible) Database AI Assistant. For Tair/Redis instance management, performance diagnostics, memory analysis, hotspot key de...
Created by sdk-team
Alibaba Cloud Tair development toolkit — 7 capabilities covering architecture selection, data structure design, instance creation & configuration, connection...
Created by sdk-team
Alicloud Service Scenario-Based Skill. Use for auto-deploying the "Build AI Animation Story Creation App" solution. Automatically creates OSS Bucket, deploys...
Created by sdk-team
Use when the user wants Terraform HCL for Alibaba Cloud (Alicloud) infrastructure — new project or extending an existing one. Covers VPC, ECS, ApsaraDB RDS,...
Created by sdk-team
This skill should be used when the user asks to "导入阿里云资源到 Terraform", "terraform import 阿里云", "将现有云资源纳入 Terraform 管理", "阿里云资源迁移 Terraform", "生成 terraform sta...
Created by sdk-team
Alibaba Cloud Media Processing Service (MPS) one-stop video processing skill. Use when users need video processing, transcoding, snapshot generation, content...
Created by sdk-team
Alibaba Cloud IMS (Intelligent Media Services) based video translation Skill. Supports subtitle extraction (ASR/OCR), translation, and speech synthesis trans...
Created by sdk-team
Alicloud VMS Smart Voice Call Skill. Use for making AI-powered voice calls with natural language intent. The system automatically matches contacts from the a...
Created by sdk-team
Alibaba Cloud WAF Bot Management automated configuration assistant. Automatically completes bot protection policy evaluation, configuration, verification, an...
Created by sdk-team
Diagnose why a request was blocked by Alibaba Cloud WAF. Retrieves block logs, identifies the triggering rule, and provides remediation guidance. Supports di...
Created by sdk-team
Batch export Alibaba Cloud WAF 3.0 CNAME-based domain configuration to Excel. Use when the user needs "export WAF domain config", "WAF onboarding checklist",...
Created by sdk-team
Full-configuration backup of Alibaba Cloud WAF 3.0 to a single multi-sheet Excel workbook. Covers all onboarding types (CNAME / cloud-product / hybrid-cloud)...
Created by sdk-team
Export and backup Alibaba Cloud WAF protection configurations for WAF 3.0 and WAF 2.0 instances. Supports both China mainland (cn-hangzhou) and international...
Created by sdk-team
Solution skill for using WAF to protect web applications on ECS. Used for quickly deploying network environments including VPC, security groups, and ECS inst...
Created by sdk-team
Alibaba Cloud WAF 3.0 read-only diagnostic assistant for interception diagnosis, rule queries, and configuration guidance. Use when: query WAF logs (405 erro...
Created by sdk-team
Perform security inspection and monitoring for Alibaba Cloud WAF (Web Application Firewall), covering CNAME-based domain access, hybrid cloud access, and clo...
Created by sdk-team
Use when building or modifying websites with AI Staff via Alibaba Cloud OpenAPI. Supports conversation creation, async chat with requirement collection, PRD...
Created by sdk-team
Yike Storyboard Creation Skill - Complete AI video creation workflow from novel/script to storyboard via conversational interface. Use this skill when users...
Created by sdk-team
Yunxiao Flow Pipeline Troubleshooting and Solutions. Used to diagnose pipeline execution failures and provide fix recommendations. Trigger scenarios: Pipelin...
Created by sdk-team
Use when the user operates Alibaba Cloud Container Service for Kubernetes (ACK). Covers cluster lifecycle (create / modify / delete / upgrade), node pools & nodes (create, modify, delete, repair, fix CVE), addons (install / upgrade / uninstall), KubeConfig & RBAC (issue for RAM user, grant / revoke), security & policy (CVE scan/fix, policy governance, KMS, delete protection), logging / audit / alerting, intelligent O&M (check / inspect / diagnosis / auto-repair), async tasks (track / pause / resume / cancel), templates, autoscaling, tags & quotas. Triggers: create / upgrade / delete ACK cluster, migrate to Pro, scale nodepool, fix node CVE, install / remove addon, get / revoke kubeconfig, grant RBAC, enable audit log, run inspection, diagnose cluster, track task_id, debug cs error, Forbidden.RAM, kubectl cannot connect. Terms: ACK, container service, k8s cluster, nodepool, addon, AutoMode, Terway, Flannel, ForRegion, kubeconfig, RBAC, CVE.
Created by sdk-team
Read-only query and diagnosis of Alibaba Cloud ActionTrail operation audit events: find out who performed which operation, when, from which source IP, and on which resource, across one or many regions, rendered as a 12-column event table or machine-readable JSON. Use when the user asks about the audit log or operation history of an Alibaba Cloud account; wants to know who changed, created, deleted, or operated on a resource; asks when a resource was operated on; needs to trace read/write operation records, console sign-ins, or API calls of a cloud service; or wants to investigate suspicious or failed operations recorded by ActionTrail. Triggers: audit log, operation history, operation records, who changed, who operated, who deleted, when was it operated, action history, read/write operations, ActionTrail, audit event, operation trace.
Created by sdk-team
Perform SysOM deep OS-level diagnosis on Alibaba Cloud lingjun node to identify root causes of performance issues (CPU spikes, memory leaks, IO latency, etc.). Use when users report lingjun node performance problems, need kernel-level troubleshooting, or want to configure DingTalk alert notifications for SysOM diagnosis reports.
Created by sdk-team
Stand up a working Alibaba Cloud agent that authenticates its end users and proves its permissions hold, then tear it back down. Use when someone wants to deploy an AgentRun-hosted agent governed by AgentIdentity, see for themselves that only signed-in users reach it, that each tool receives the credentials it needs without any secret in the code, and that authorization rules actually block what they should — or when they want to remove the resources such a trial created. Covers first-time setup on an empty account, re-verification after a change, and cleanup. 也响应"AgentRun 端到端测试""AgentIdentity 全流程验证""AgentRun 部署 Agent"等中文请求。
Created by sdk-team
Enterprise Agent application observability skill. Read-only analysis of user-specified Agent trace (trace_id) Trajectory data, covering 6 business scenarios (task review / failure diagnosis / latency analysis / consumption analysis / multi-Agent collaboration / tool quality) with behavioral insights (decision-cause and behavior-chain perspectives), producing a self-contained HTML observation report. Triggers: "Agent observability", "Agent behavioral insight", "trajectory analysis", "Trajectory", "trace analysis", "LLM Trace", "agent observability", "LLM application observability", "Agent observation report", "LLM latency analysis", "token consumption".
Created by sdk-team
Install Alibaba Cloud Agent Toolkit end-to-end: verify and set up prerequisites (uv, Alibaba Cloud CLI, authentication, CLI plugins, MCP Server Core, bearer token exchange), then install the toolkit via the current client's supported plugin mechanism. Use when: alibabacloud agent toolkit install, environment check, prerequisite check, setup alibabacloud, plugin install, toolkit setup, mcp core setup, aliyun CLI setup.
Created by sdk-team
Orchestrate AgentLoop evaluation workflows through the Aliyun CLI plugin with safe previews, saved evaluator and evaluator-skill management, one-shot sample tests, trace or dataset batch runs, polling, and result inspection. Analyze evaluation quality and low-score cases from SLS. Use for natural-language requests to create or update evaluators or evaluator skills, launch or monitor evaluation tasks, inspect evaluation results, diagnose low scores, troubleshoot evaluation API calls, and simplify AgentLoop evaluation commands.
Created by sdk-team
The skill should be used when the user asks about Alibaba Cloud AgentLoop platform for onboarding applications into observability, high-code instrumentation with loongsuite-genai-utils and OpenTelemetry SDK (高代码埋点、LLM Trace 字段、上下文传递与链路串联), Live-Debug runtime diagnostics, managing Datasets, building pipelines, and evaluating. Live-Debug covers ServiceTask dynamic logging, snapshots, metrics, spans, and JVM inspection.
Created by sdk-team
Connect a cloud or sandbox Agent to Alibaba Cloud Agent Data Gateway (Dgate) through its managed MCP service, or install/reinstall the Dgate CLI and its local Agent Skill/Rule bundle on macOS, Linux, or Windows. Use when the user asks to configure a Region-bound Dgate MCP endpoint and AccessToken, set up Dgate without installing a binary, install the dgate command, refresh the bundled dgate-cli skills, or verify either access path.
Created by sdk-team
使用阿里云 AISC 做 Skill 安全检查:提交扫描、查询 rootTaskId、解读 check-report.json 风险报告、诊断 AISC Skill 检测报错。用户问“这个 Skill 安不安全”“能放心安装吗”“有没有恶意代码、敏感凭据或提示词注入”时使用。也处理候选 Skill 选择和缺少下载链接的安全检测请求,先加载本 Skill 再澄清输入。普通 Skill 编写、安装或无安全意图的泛泛请求不触发。
Created by sdk-team
Investigate an Alibaba Cloud AccessKey (AK) leakage incident and produce a read-only investigation report. Use when the user reports a leaked / exposed / stolen / compromised Alibaba Cloud AccessKey (AK / AK-SK / access key / secret key / RAM credential); receives an AK-leak alert, risk notification, SMS, or email; finds an AK/secret exposed on GitHub, Gitee, a public repo, logs, or config files; needs AK-leak incident response, post-theft investigation, or risk assessment; or wants to trace a leaked AK's malicious operations, attack chain, created sub-users (RAM users), or new AccessKeys.
Created by sdk-team
Diagnose Alibaba Cloud ACK cluster ALB Ingress reconcile errors, Warning events, and configuration issues. Use this Skill when users report: ALB Ingress errors, reconcile failures, AlbConfig sync problems, Ingress not working, ALB configuration not taking effect, actions/conditions annotations not working as expected, certificate not updating, listener errors, or any ALB Ingress related abnormal behavior. Supports matching 61+ known error patterns from the knowledge base.
Created by sdk-team
Inspect ECS instance health, detect anomalies in memory, disk, CPU, load, and resource leaks, and automatically trigger deep diagnosis when critical memory issues are detected. Suitable for routine inspections, troubleshooting, and risk warning scenarios. Trigger keywords: SysOM, inspection, instance diagnosis, memory_usage_rate, memory usage.
Created by sdk-team
Analyze OSS data through an Alibaba Cloud AnalyticDB for MySQL (ADB) Serverless workspace with read-only, bounded Presto SQL. Trigger only when the user explicitly mentions ADB or AnalyticDB MySQL, provides a workspaceId and an oss:// path, and asks to discover, query, or analyze data. Do not trigger for an OSS path, token, accessToken, workspace, or generic SQL question alone. After triggering, validate endpoint or regionCode, workspaceId, an explicit accessToken or ADB_ACCESS_TOKEN, OSS URI, and the analysis goal together, then choose registered Hive metadata, files(...), or hive_files(...).
Created by sdk-team
Explain, evaluate, demonstrate, provision, and integrate Alibaba Cloud Bailian Managed Agent (CMA / ManagedAgents). Use for Bailian Managed Agent product selection, sales pitches, customer solutions, hands-on PoCs, scheduled report agents, managed environments, and Python/Java backend integration. Prefer Bailian CLI (bl) for quick trials and resource provisioning; use HTTP API or verified SDKs for customer system integration, and API fallback when CLI capability remains unavailable after an update attempt. Not for generic agent development or unrelated cloud sandboxes.
Created by sdk-team
Manages conversation memories and user profiles in Alibaba Cloud Bailian (Model Studio) Memory Library via DashScope REST APIs. Covers memory extraction from conversations, direct content saving, semantic memory search, memory fragment maintenance, user profile queries and updates, plus memory project and profile schema administration. Use when the user requests memory library ("记忆库") operations such as "add memory", "search memory" or "user profile". Prerequisites: (1) Configure DashScope API Key (2) Activate Bailian Memory Library service. Do NOT use for Bailian RAG knowledge base retrieval or document search.
Created by sdk-team
Diagnose client timeouts or anomalies when accessing Alibaba Cloud Bastion Host — quickly root-cause public network connectivity, Bastion Host configuration, Cloud Firewall blocking, and other causes. Use when users report: connection timeout to Bastion Host, abnormal Bastion Host access, SSH/RDP cannot connect to Bastion Host, Bastion Host web page inaccessible, Bastion Host public network access failure, Bastion Host whitelist issues, Bastion Host blocked by Cloud Firewall, even if the user does not explicitly mention "Bastion Host" or "bastionhost". Applicable to Basic Edition, Enterprise Dual-Engine Edition, and National Cryptography Edition Bastion Host V3.2.
Created by sdk-team
Deploy SSL certificates to Alibaba Cloud products (CDN/SLB/WAF/ALB/NLB/OSS/ESA, etc.). One-click or batch deployment via CAS DeploymentJob API, with progress tracking, failure diagnosis, rollback, and HTTPS verification. Activate when user says "deploy certificate to CDN", "deploy to SLB", "one-click deploy certificate", "push certificate to cloud", "部署证书到 CDN", "部署到 SLB", "一键部署证书", "证书推送到云产品".
Created by sdk-team
Purchase and apply SSL certificates via Alibaba Cloud CAS (V2.0 unified flow). Supports China site (ProductCode=cas) and International site (ProductCode=cas_intl). Automates instance acquisition via BSS API or reuses existing inactive instances. All certificate types follow: list-instances → update-instance → apply-certificate. OV/EV certificates require additional company info and contact IDs. Activate when user says "apply certificate", "purchase SSL", "buy certificate", "certificate order", "purchase certificate instance", "buy overseas certificate", "申请证书", "购买 SSL", "买证书", "证书下单", "购买证书实例", "买海外证书".
Created by sdk-team
SSL certificate toolkit for Alibaba Cloud CAS. Includes identity configuration, domain verification, certificate download, certificate upload, CSR generation, format conversion, and certificate matching. Activate when user says "verify domain", "download certificate", "upload certificate", "generate CSR", "convert certificate format", "configure identity", "match certificate", "check key cert match", "验证域名", "下载证书", "上传证书", "生成 CSR", "转换证书格式", "配置身份", "检查证书匹配", "是否匹配", "是不是一对".
Created by sdk-team
Read-only diagnostics for Alibaba Cloud CDN refresh and preload issues. Use when a URL/file/directory refresh or preload looks ineffective - refresh failed, preload failed, cache not cleared, or the task failed. Verifies task records and edge cache status, and produces a diagnosis report; never submits refresh/preload jobs. Triggers: "refresh failed", "preload failed", "cache not cleared", "purge not working", "prefetch not cached", "warm up ineffective", "invalidation unsuccessful", "pre-warming failure", "pre-fetching".
Created by sdk-team
Read-only diagnostics for Alibaba Cloud CDN traffic and bandwidth anomalies. Use when CDN traffic or bandwidth suddenly spikes, the CDN bill jumps unexpectedly, traffic theft or hotlink abuse is suspected, or bps/flow/QPS trends need baseline comparison to locate anomalous time windows. Pulls usage data via aliyun CLI to locate anomalous windows, then forensically analyzes CDN offline access logs (four-dimension Top statistics, 13 theft rules, T1~T6 classification) and outputs an analysis report; never stops domains or changes any configuration. Triggers: "traffic spike", "bandwidth anomaly", "traffic theft", "unusual CDN traffic", "hotlink abuse", "CDN bill surge", "traffic suddenly increased", "bandwidth spike analysis".
Created by sdk-team
Manage Cloud Firewall (CFW) Internet Firewall public IP protection switches on Alibaba Cloud. Use this Skill when enabling or disabling firewall protection for public IPs, querying asset protection status, batch protecting ECS/EIP/NAT/SLB resources, toggling all public IPs at once, or configuring auto-protection for new assets. Supports multi-account management via member-uid. 管理阿里云云防火墙(CFW)互联网防火墙的公网IP防护开关。 当用户需要开启云防火墙、管理互联网防火墙开关、查看公网IP是否受保护、 批量开启ECS/EIP/NAT/SLB等资源的防火墙、配置新资产自动防护时使用此Skill。 支持多账号管理(member-uid)。
Created by sdk-team
Manage Alibaba Cloud Firewall (CFW) NAT Firewall (NAT boundary firewall): query firewalls and protection status, enable/disable the protection switch, assess which NAT gateways can be protected and produce a plan, run the creation pre-check, diagnose route-entry inconsistency (route-diff), prepare manual-mode diversion assets, create a firewall (auto or manual vswitch diversion), and change engine strict mode. Deleting/releasing a firewall is NOT supported: protection can be switched off, but the resource must be released by the user in the console. Use when users mention NAT firewall, NAT boundary firewall, NAT gateway protection, protecting private-network outbound traffic, opening/closing the NAT firewall switch, assessing how to enable protection, or diagnosing creation failures from inconsistent custom route entries. 管理阿里云云防火墙(CFW)NAT边界防火墙:查询防火墙与防护状态、开启/关闭防护开关、开墙评估与开墙方案、 创建预检查、路由条目不一致诊断、手动引流准备、创建NAT防火墙、修改引擎模式。不支持删除/释放防火墙, 需用户在控制台自行操作。适用于NAT防火墙、NAT网关防护、私网出方向防护、开关NAT墙、开墙评估等场景。
Created by sdk-team
Manage Cloud Firewall (CFW) VPC border firewalls on CEN Basic Edition (transit-router-type Basic) on Alibaba Cloud. Use this Skill to inventory the VPC firewall slots and their diversion switch status, onboard or offboard a business VPC, toggle traffic diversion, and troubleshoot stuck firewall states. Only for CEN Basic Edition, not the Enterprise transit router, access-control policies, or manual routing. 管理阿里云云防火墙(CFW)基于云企业网 CEN 基础版的 VPC 边界防火墙; 仅适用于基础版,不涉及企业版转发路由器、访问控制策略与手动路由模式。 Triggers: list VPC firewall slots, check VPC firewall diversion switch status, inspect VPC firewall detail and defended CIDR, run the VPC firewall pre-access check, attach a business VPC to the firewall, open or close traffic diversion, rename a VPC firewall, remove a VPC firewall access configuration, query available firewall zone pairs, diagnose a VPC firewall stuck opening or closing, 查看 CEN 基础版 VPC 墙清单与引流开关状态, 为业务 VPC 接入防火墙, 打开或关闭引流, 给 VPC 防火墙改名, 移除 VPC 接入配置, 排查开墙预检查失败或任务卡住
Created by sdk-team
Alibaba Cloud Cloud Firewall ACL policy management tool centered on backup/restore/management. Backs up and restores ACL policies (Internet boundary, NAT boundary, VPC boundary) together with their supporting configurations (address books - custom IP, cloud asset IP, custom domain, port; sync nodes - ACK cluster, private DNS), with differential restore (only fills items missing online). Also provides ACL policy export and statistical analysis (hit analysis, duplicate rule detection, shadow rule detection, compliance audit) and single-point changes (add policy, enable/disable). 以备份/恢复/管理为核心的阿里云云防火墙ACL策略管理工具。 支持备份和恢复ACL策略(互联网边界、NAT边界、VPC边界)及其配套配置 (地址簿:自定义IP、云资产IP、自定义域名、端口,同步节点:ACK集群、私有DNS), 支持差异恢复(只补线上缺失项);还提供ACL策略的导出与统计分析(命中分析、 重复规则检测、影子规则检测、合规巡检)与单点变更(新增策略、启用/禁用)。 当用户提到云防火墙备份、云防火墙恢复、地址簿备份、ACL策略备份、防火墙配置 导出导入、ACL策略导出、策略命中分析、重复/影子策略检测、新增ACL策略、启用 禁用策略时使用此技能。不提供策略删除/清理,需用户在控制台手动操作;不做规则 不生效的故障诊断。
Created by sdk-team
Read-only diagnostics for the public internet egress capability of Alibaba Cloud cloud-native products: cloud-native gateway (MSE), cloud-native API gateway, AI gateway, Serverless App Engine (SAE), and Function Compute (FC). Use when the user asks whether such an instance can access the public internet, reports outbound connectivity failure, or wants to check a fixed public egress IP. Resolves the VPC/vSwitch bound to the instance, then verifies NAT gateway SNAT egress for that vSwitch; produces a diagnosis report. Read-only: never creates, modifies, or deletes any resource. Triggers: "cloud-native gateway public internet", "MSE gateway outbound", "APIG outbound connectivity", "AI gateway public network", "SAE public internet", "SAE outbound connectivity", "FC fixed public IP", "FC function outbound", "cloud-native internet diagnostics", "vSwitch NAT SNAT egress".
Created by sdk-team
Entry skill for the aliyun CLI distribution of CloudMonitor (CMS). Use when the user mentions aliyun cms2, CloudMonitor, CMS commands, or any CMS module operation such as Integration Policy/Center, APM, RUM, Prometheus Service, Recording rule, alert rule, alert template, alert history, event hub, SLS event, PromQL, cloud resource, service observability, monitoring onboarding, metric query, etc.
Created by sdk-team
Read-only health and risk monitoring for endpoint devices enrolled in Alibaba Cloud SASE (CSAS). Diagnose a device or scan a fleet for CPU or memory pressure, battery health, disk saturation, and online status. Use when users report a slow, hot, laggy, or draining endpoint, or ask about sustained CPU or memory use, battery health, disk capacity, online status, or devices with recent performance risks. It does not count inventory, assess idle devices, check client versions, or lock, recall, delete, or otherwise modify devices. Triggers: "CSAS device health", "slow endpoint", "CPU or memory pressure", "battery health", "disk saturation", "endpoint online status".
Created by sdk-team
Dataphin skills 套件入口。通过场景关键词路由到具体子 Skill,覆盖数据规划、数据集成、数据开发、运维监控、数据安全、数据资产、数据服务 API 开发、知识图谱等完整业务流程。 触发场景:数据源(创建数据源 / MaxCompute 数据源 / 数据源连通性校验)、计算源(创建计算源 / 更新计算源 / 计算源连通性)、项目与成员(创建项目 / 项目成员 / 租户成员 / 全局角色)、权限与安全(行级权限 / 列级权限 / 字段权限 / 数据源授权 / 数据分级分类 / 数据脱敏)、数据开发(即席查询 / 执行 SQL / 临时跑代码 / 提交批任务 / 更新批任务 / 按名称查任务 / 业务日期 / 租户根节点)、数据集成(数据同步 / 数据搬运 / 集成管道任务 / 更新管道)、运维监控(任务实例监控 / 查看日志 / 重跑实例 / 暂停实例 / 补数据)、数据服务(创建 API / 发布 API / 应用管理 / API 授权 / 权限绑定 / API 调用 / SDK 调用 / API 监控 / 调用日志 / 运维分析)、数据资产(数据标准 / 质量规则 / 主题域 / 业务实体 / 业务指标 / 查找表 / 标准映射 / 资产属性 / 资产查询)、知识图谱(本体模型 / 实体关系 / Schema / Cypher 图查询 / 邻居遍历 / 语义搜索)、非结构化数据(非结构化工作流 / 数据集 / 表结构)。
Created by sdk-team
Interact with DataWorks Data Agent for conversational data analysis, session lifecycle management, and artifact download. Use this Skill when users want to chat with a Data Agent for data querying, create or resume Agent sessions, list session history, download analysis artifacts, check token usage, or cancel an active session.
Created by sdk-team
Always use this Skill for any Alibaba Cloud DataWorks semantic analysis job or run request, including read-only and preflight requests that intentionally make no API call, such as checking whether the public DataWorks semantic OpenAPI or dataworks-public plugin commands (for example create-semantic-job) are ready. It also applies when the requested outcome is only a refusal or a user choice with no API call. This includes comparing or disambiguating supplied semantic job candidates, validating or refusing an unsafe, path-traversal, or non-writable semantic result directory before any download, and inspecting artifacts for an exact run. Use it to create, run, stop, monitor, diagnose, or download results for semantic jobs backed by MaxCompute, Hologres, StarRocks, or an already uploaded CSV/XLSX reference. Do not use it for ordinary metadata lookup, lineage analysis, SQL development, workflow scheduling, file upload, published semantic model/version management, or semantic job deletion.
Created by sdk-team
Read-only cost diagnostics and audits for Alibaba Cloud database products (RDS, Redis, MongoDB, PolarDB, DTS, DBS, CDT): explain a high or spiking DB bill with billing-item breakdowns and month-over-month anomaly attribution, and run proactive audits of renewal/expiry risk, idle instances, and optional paid features — never modifying any resource. Triggers: "why is my database bill so high", "DB cost spike", "database cost anomaly", "database bill surged", "unexpected database charges", "unexplained database charge", "don't know what feature is charging me", "RDS bill breakdown", "billing item breakdown", "charged after instance deleted", "released instance still billed", "monthly DB cost trend", "cost increase root cause", "CDT bill", "cost audit", "database cost audit", "idle database instance", "idle instance still charging", "renewal lock", "about to expire", "unexpected auto-renewal charge", "DMS charges", "DAS billing".
Created by sdk-team
Alibaba Cloud Anti-DDoS Proxy (ddoscoo) origin-server IP exposure risk detector. Detects whether a website protected by Anti-DDoS Proxy still has its origin IP exposed to direct attack, across two scenarios: (S1) a protected domain whose public DNS still resolves to the origin IP, bypassing protection; (S2) the origin IP is directly reachable from the public Internet. Reads protected domains / CNAME / origin IPs via ddoscoo (DescribeWebRules / DescribeNetworkRules). Two probe methods: (1) cloud probe via Cms one-off site monitor (CreateInstantSiteMonitor + DescribeSiteMonitorLog); (2) local dig / curl / nc, used when cloud probe is unavailable. Binary verdict. Triggers: "源站IP暴露", "源站暴露检测", "高防被绕过", "流量绕过高防", "origin IP exposure", "DDoS origin detection", "ddos-origin-exposure", "检测源站", "探测源站", "网络分析与监控探测源站", "Call DescribeWebRules", "DescribeWebRules", "DescribeNetworkRules", "CreateInstantSiteMonitor", "DescribeSiteMonitorLog", "get protected domains", "probe origin server", "site monitor probe origin".
Created by sdk-team
Export, import, and restore Alibaba Cloud DDoS Pro manual non-website TCP and UDP port forwarding rules and their portable configuration through Aliyun CLI. Use for non-website port backup, migration, reuse on another instance, or recovery; do not use for website-generated rules, website or infrastructure protection, or runtime traffic and attack data.
Created by sdk-team
Automate Alibaba Cloud Yunxiao DevOps tasks — create and run pipelines, manage code repositories and merge requests, track work items and sprints, create test cases, manage artifacts, and drive application release workflows across 8 Yunxiao products. Triggers: "Yunxiao", "DevOps", "pipeline", "code repository", "merge request", "work item", "sprint", "test case", "application delivery", "artifact repository", "Codeup", "Flow", "Projex", "AppStack", "Packages", "Testhub"
Created by sdk-team
Alicloud DNS Diagnostic Skill (Read-Only). Diagnostic tool for domain unreachable, DNS resolution failure, DNS record not taking effect, NXDOMAIN, unknownhost, and other DNS-layer issues. Automatically performs WHOIS lookup, recursive tracing, OpenAPI config verification, and nationwide probing via boce to generate diagnostic reports. Covers Alibaba Cloud DNS, GTM, PrivateZone, and third-party DNS. This skill is read-only and will NOT execute any Create, Update, Delete, or other write operations. Triggers: "DNS resolution failed", "domain unreachable", "DNS not working", "NXDOMAIN", "domain ping failed", "DNS diagnose", "quick check", "快速检查", "DNS record check", "记录解析", "DNS resolution status", "解析状态", "check A/CNAME/MX/TXT record"
Created by sdk-team
Manage Alibaba Cloud domains, ICP filing, and Wan Xiao Zhi websites through DomainCLI. Triggers: "Alibaba Cloud domain management"; "ICP filing for Alibaba Cloud domains"; "Wan Xiao Zhi website building and management". Use for domain lifecycle and DNS tasks, ICP filing workflows, Wan Xiao Zhi website projects and deployment, or safe no-cloud-call decisions from supplied DomainCLI failures or pending and empty results. Do not use for production incident diagnosis, registry operations, competitor pricing, or unrelated code and shell tasks.
Created by sdk-team
Query and handle security risk events from Alibaba Cloud Data Security Center. Supports viewing the list of unprocessed risk events and performing manual handling operations on risk events. Trigger words: "Data Security Center", "security risk events", "DSC", "risk handling", "DescribeRiskRules", "PreHandleAuditRisk"
Created by sdk-team
Use Alibaba Cloud DTS-AI for end-to-end parsing of local PDF, DOCX, PPTX, and image files such as JPEG, JPG, and PNG into Markdown files. Use when the user mentions DTS-AI document parsing or wants to parse, convert, or extract local PDF, Word, PowerPoint, JPEG, JPG, or PNG files into Markdown.
Created by sdk-team
Create, query, and manage database synchronization jobs in Alibaba Cloud Data Transmission Service (DTS), covering synchronization link creation, job status and progress visibility, job renaming, starting, suspending, or resuming jobs, and instance class and hourly price lookup. Use when the user mentions DTS, a DTS job/instance/link, data synchronization, or database synchronization; asks what synchronization jobs exist, how far a job has progressed, or what its incremental latency is; asks how much a synchronization costs, what the small instance class costs, or what unit it is billed by; needs full or incremental synchronization for a data migration or cross-region disaster recovery; or says “sync data from one database to another.” Supports database synchronization among RDS MySQL, PolarDB MySQL, and PolarDB-X 2.0; between RDS PostgreSQL and PolarDB PostgreSQL; and between ApsaraDB for MongoDB replica sets.
Created by sdk-team
This skill should be used when the user asks about Alibaba Cloud ECS disk snapshots, including creating snapshots, listing snapshots, deleting snapshots, rolling back disks, configuring auto snapshot policies, calculating snapshot costs, managing snapshot lifecycle, or using snapshot consistency groups for crash-consistent backup of an entire instance. Triggers on phrases like "create ECS snapshot", "query snapshot list", "delete snapshot", "rollback disk", "auto snapshot policy", "snapshot cost", "snapshot consistency group", "crash-consistent backup", "consistency backup", or Chinese equivalents "创建快照", "查询快照列表", "删除快照", "回滚云盘", "自动快照策略", "快照费用", "快照一致性组", "一致性备份", "整机备份", "崩溃一致性备份", "整机崩溃一致性备份", and broader ECS disk maintenance intents such as "帮我处理一下 ECS 实例", "给云盘做备份", "ECS 云盘运维".
Created by sdk-team
Analyze Alibaba Cloud block storage (EBS) disk performance and fleet composition. Use it to locate performance bottlenecks (saturated IOPS or bandwidth), compare disks, instances, or availability zones to decide where to tune or resize, review disk count and capacity by category / region / billing type to inform capacity and cost decisions, check disk event history, and reach the right console dashboard for deeper drill-down. Triggers: "EBS monitoring", "disk metrics", "cloud disk performance", "IOPS analysis", "BPS analysis", "disk monitoring data", "export disk monitoring data", "export monitoring data", "metric aggregation", "resource overview", "EBS Lens", "CloudLens for EBS", "disk usage report", "capacity distribution", "event overview", "monitoring dashboard", "EBS dashboard", "storage dashboard", "disk monitoring dashboard", "storage health", "block storage insights", "disk observability", "disk inventory summary", "telemetry console", "block storage analytics".
Created by sdk-team
基于 aliyun appmanager 一键把项目代码部署到阿里云 ECS 云服务器,覆盖环境预检、询价、部署、日志验证、失败诊断重试全流程。支持 App / AI Agent(LangChain / AutoGen / AgentScope / MCP / FastAPI / Flask / Spring Boot 等),新建或已有 ECS 实例,自动处理分组冲突、zip 解压、余额不足、地域参数透传、重复部署免初始化。触发词:部署到ECS、部署项目到ECS、部署到云服务器、把这个项目部署上去、上线到ECS、把仓库部署到ECS、当前目录部署、阿里云ECS部署、appmanager部署、aliyun appmanager、一键部署App、部署AI Agent、deploy to ECS、code deploy、deploy app、deploy agent、appmanager deploy、ECS code deploy、跑一下这个项目、把代码跑到ECS上、ECS上线。
Created by sdk-team
Comprehensive Alibaba Cloud ECS instance diagnostics skill. Performs systematic troubleshooting including cloud platform status checks and GuestOS internal diagnostics via Cloud Assistant. Use when users report server connectivity issues, SSH timeout, instance lag, website unavailability, disk full, CPU/memory alerts, system event notifications, or abnormal instance status. Triggers: "ECS", "instance", "server", "cannot connect", "SSH", "timeout", "slow", "disk full", "network", "CPU high", "memory high", "status check", "system event", "diagnose", "troubleshoot", "disk performance", "disk IO slow", "IOPS", "IO latency"
Created by sdk-team
Diagnose GPU issues on Alibaba Cloud ECS GPU instances: GPU device status, driver issues, and GPU hardware failures. Use when users ask to check the GPU status of their GPU instances, detect whether the GPU device is visible, verify that the GPU driver is installed correctly, or troubleshoot GPU anomalies such as GPU not visible or deep learning task failures. Run Console Diagnosis or Cloud Assistant Diagnosis (RunCommand) to detect GPU hardware failures, perform batch diagnosis of GPU servers, or create scheduled (periodic) diagnosis tasks via CreateCommand and InvokeCommand with Cron. Single-instance diagnosis runs Console Diagnosis and Cloud Assistant Diagnosis in parallel; batch and scheduled diagnosis use Cloud Assistant Diagnosis only. Supports streaming output of diagnostic results.
Created by sdk-team
Troubleshoot an Alibaba Cloud ECS Linux OS. Use when a user needs to diagnose a specified ECS Linux instance, such as instance stuck in Starting, boot stuck, SSH/VNC/Workbench login failure, network issues, disk/FS issues, performance anomalies, suspected mining or hidden processes, crash/hang, clock drift, or configuration not taking effect.
Created by sdk-team
Use when an ECS instance cannot reach the internet, its public IP is unreachable, ping to the public network times out, a security group blocks public access, or a VPC cloud service (DataWorks / SAE / ACK) cannot access the public network. Diagnoses Alibaba Cloud ECS public network access and VPC cloud service public egress: ECS public IP reachability and security-group blocking (auto-handling the NAT-gateway egress path for instances without a public IP), plus NAT gateway / SNAT / route / EIP checks for DataWorks, SAE, ACK and others. Triggers: "ECS public network access diagnosis", "ECS public IP reachability", "ECS security group blocking public access", "ECS cannot access the public network", "ECS NAT gateway SNAT egress troubleshooting", "VPC cloud service public network access", "DataWorks cannot access the public network", "SAE public network egress failure", "ACK public network unreachable", "VPC NAT gateway SNAT route EIP check"
Created by sdk-team
Troubleshoot and repair Alibaba Cloud ECS Windows instances from inside the GuestOS or remotely via Cloud Assistant. Use whenever the user reports any Windows symptom or asks for a health check on an ECS Windows instance, even vague ones like "check this machine": boot failures (BSOD, black screen, boot loop, stuck at logo), crashes and hangs, RDP/VNC login failures, network problems (internet access, ping, DNS, DHCP, firewall, SMB), a port unreachable from outside while the service is running (8080, 3389), inbound firewall port blocking, disk and storage, Windows activation, Windows Update, time synchronization, user accounts and permissions, BitLocker, drivers, application crashes, certificates and TLS, scheduled tasks, slow performance, configuration not taking effect, Cloud Assistant and management channel issues. Supports online diagnosis (running system) and offline diagnosis (faulty system disk mounted as a data disk) via a direct in-GuestOS channel or remote aliyun ecs run-command.
Created by sdk-team
Use this skill when the user needs help with a Flink Python or PyFlink job, especially on Alibaba Cloud Realtime Compute for Apache Flink (VVR): write, modify, review, or debug PyFlink jobs; explain or select Flink Python APIs; resolve package or file dependencies for PyFlink jobs; or prepare PyFlink job deployment.
Created by sdk-team
Submit and operate PyFlink jobs on Alibaba Cloud Realtime Compute for Apache Flink. Use for storage-routed artifact upload, Python deployment creation or configuration updates, cross-session deployment recovery, state-aware start or stop, and JM/TM logs or metrics. Route deletion-only and SQL requests elsewhere.
Created by sdk-team
Manage the full lifecycle of Alibaba Cloud Realtime Compute for Apache Flink SQL: analyze schemas, author and validate SQL, manage Drafts, Deployments, Jobs, Savepoints, Session Clusters, Catalogs, Connectors, UDFs, variables, and deployment targets, synchronize configuration to Git, and troubleshoot logs, Metrics, Checkpoints, exceptions, plans, and backpressure. Use when the user asks about Alibaba Cloud Flink, VVR, VVP, Flink SQL, its job lifecycle, or troubleshooting. Operate the platform through the Python CLI; historical Metrics use a user-supplied VVP Cookie. Verify scope and authentication before platform operations. High-risk actions usually require confirmation; explicit confirmation for the resolved target in the same request satisfies the gate.
Created by sdk-team
Use when user explicitly asks Flink/Ververica/Realtime Compute Console workspace operations: 草稿(draft), SQL校验/执行, 部署(deployment), 作业(job), Session Cluster, namespace, 表(table), 成员(member), 变量(variable), 或 checkpoint timeout 诊断, especially with workspace/deployment/job IDs (w-*, d-*, j-*, sc-*, draft-*). Also use when prompt asks to test/verify Flink Console lifecycle flow, safety guardrails, or parameter validation for these operations. This includes prompts such as create draft, deploy draft, list deployments, start/stop job, create/list session cluster, get tables, list variables. Also use when prompt explicitly asks to run `python scripts/flink_ververica_ops.py` for Flink Console workspace operations. Do not trigger for unrelated "workspace" contexts or generic cloud/platform tasks (ECS, OSS, RDS, Kafka, Spark, Kubernetes, billing, weather). Do not trigger for Flink instance lifecycle operations (create/scale/delete/renew); those belong to alibabacloud-flink-instance-manage.
Created by sdk-team
Alibaba Cloud Governance Center evaluation report skill. Use for querying governance maturity check results, generating structured risk reports, and account compliance analysis. Triggers: "云治理", "成熟度检测", "合规检查", "安全风险", "治理检测", "governance evaluation", "maturity check", "compliance report", "risk report", "governance center".
Created by sdk-team
Search Alibaba Cloud help documentation on help.aliyun.com (cn) and www.alibabacloud.com (intl) in zh, en, tc, ja, id, pt-br and experimental fr, with ranked results, and verify OpenAPI contracts (parameters, error codes, RAM permission points) against api.aliyun.com metadata. Use when the user asks how to configure a product, looks up an error code or message, checks quota or limits, asks about billing rules, wants best practices or troubleshooting guides, confirms API parameter semantics, or reads a help document. Triggers: "Alibaba Cloud documentation", "help center", "help.aliyun.com", "product how-to guide", "error code meaning", "what does this error mean", "how to fix this error", "quota and limits", "billing rules", "RAM permission point", "API reference", "troubleshooting guide", "best practice", "read help document", "international site documentation". Do not use it to change cloud resources or to diagnose an incident when a diagnosis skill applies.
Created by sdk-team
Use the packaged iac-code agent for Alibaba Cloud infrastructure tasks, including designing, provisioning, changing, or deploying resources; generating, reviewing, converting, validating, or troubleshooting ROS and Terraform templates; selecting existing cloud resources; estimating costs; operating ROS stacks; and inspecting or explicitly cleaning downloaded iac-code Skill Runtime caches. Trigger for Alibaba Cloud infrastructure work even when the user does not mention iac-code, ROS, Terraform, or this Skill, and for requests to inspect or clean the iac-code Runtime cache. Do not trigger for general Alibaba Cloud questions or unrelated application code. For matched requests, invoke the packaged bridge before any alternative tool and fail closed on bridge errors. Run through the local authenticated A2A runtime without pip or headless mode.
Created by sdk-team
Unified dispatch entry point for the LHM (Lakehouse Migration Center) skill, coordinating the three core capabilities of SQL conversion, data validation, and big-data workflow migration. Use when the user raises a lakehouse migration requirement, such as SQL dialect conversion (e.g., "presto to spark", "hive to maxcompute", "转换 SQL", "SQL 转换", "方言转换"), pre/post-migration data validation / data consistency comparison ("数据校验", "数据比对", "一致性检查", "跑校验", "数据量校验", "指标校验"), migration of scheduled workflows such as DataWorks/DolphinScheduler/Airflow ("工作流迁移", "调度任务迁移", "建数据源", "创建数据源", "把 X 迁移到 Y"), or when the user is unsure which sub-skill to use or needs cross-skill collaboration.
Created by sdk-team
Read-only health-check diagnostics for Alibaba Cloud load balancers (CLB/ALB/NLB). Collects listener health-check configuration, forwarding rules, server groups and backend server probe status, and produces a structured diagnosis report; never changes any configuration. Use when health checks fail, backend servers are marked unhealthy, or the customer asks about load balancer health-check configuration. Triggers: "health check failed", "unhealthy backend server", "backend probe abnormal", "backend server unhealthy", "SLB health check diagnosis", "CLB health check diagnosis", "ALB health check diagnosis", "NLB health check diagnosis", "listener health check configuration query", "server group probe status".
Created by sdk-team
Use this Skill for Alibaba Cloud Lindorm work: instance lifecycle and configuration, networking and access control, monitoring, performance, storage, connection diagnosis, backup, migration, permissions (including Lindorm SQL user management with `CREATE USER` and `GRANT`), slow queries, SQL development, and Search, vector, graph, AI, multimodal, or knowledge-base workflows. Trigger on Lindorm product or CLI terms such as LindormTable, LindormTSDB, LindormSearch, Lindorm AI, HBase/AliHBase, lindormcli, Lindorm CLI, `aliyun lindorm`, or Chinese requests mentioning 宽表引擎、时序引擎、搜索引擎、向量检索、图引擎、白名单、实例创建/扩缩容/释放. Use this Skill's references or official Alibaba Cloud documentation; do not invent Lindorm-specific facts from general training knowledge.
Created by sdk-team
What it does: manages Alibaba Cloud Lingjun cluster lifecycle via eflo-controller CLI — create / list / describe / delete clusters, list nodes, query machine types & images, tag / untag / list tags, change resource group. When to use it: when the user asks to create, query or delete a Lingjun cluster, list clusters or nodes, look up machine types or images, manage cluster tags, or change its resource group. Run: bash prefix: export LJ_SKILL_DIR="${LJ_SKILL_DIR:-$HOME/.qoder/skills/alibabacloud-lingjun-cluster-manage}" && source "$LJ_SKILL_DIR/lib/lj_init.sh"; i18n: CJK ratio 0.30+ → LJ_LANG=zh else en; stdout (skip ===...=== envelope blocks) is final reply; __LJ_EXEC__ or [Widget interaction] prefix → confirmed → one && chain. Triggers: "lingjun cluster", "灵骏集群", "create cluster", "创建集群", "delete cluster", "删集群", "list clusters", "describe cluster", "查集群", "machine type", "机型", "image", "镜像", "tag", "打标", "untag", "解标", "查标", "resource group", "资源组", "移资源组", "改资源组", "GPU", "CUDA", "集群管理", "cluster lifecycle"
Created by sdk-team
Manage Alibaba Cloud Lingjun cluster scaling: extend clusters (add nodes), shrink clusters (remove nodes), create and update node groups, and move nodes between node groups (change node group). Run: every Bash call MUST begin with: export LJ_SKILL_DIR="the dir holding this skill" && export LJ_PLATFORM="qoder|text" && source "$LJ_SKILL_DIR/lib/lj_init.sh" (LJ_SKILL_DIR default: $HOME/.qoder/skills/alibabacloud-lingjun-cluster-scaling; LJ_PLATFORM: "qoder" in Qoder IDE, else "text") Triggers: "extend-cluster", "shrink-cluster", "create-node-group", "update-node-group", "change-node-group", "lingjun cluster", "灵骏集群", "灵骏扩容", "灵骏缩容", "lingjun node", "灵骏节点", "加节点", "减节点", "expand cluster", "shrink cluster", "node group", "节点组", "新建节点组", "创建节点组", "更新节点组", "迁移节点", "换组", "change group", "update node group", "scale out", "scale in", "add nodes", "remove nodes"
Created by sdk-team
bash prefix: export LJ_SKILL_DIR="${LJ_SKILL_DIR:-$HOME/.qoder/skills/alibabacloud-lingjun-node-diagnose}" && source "$LJ_SKILL_DIR/lib/lj_init.sh" i18n: detect language each turn (CJK ratio ≥ 0.30 → LJ_LANG=zh, else en); inject LJ_LANG=zh|en prefix before source. Intelligent diagnosis for Alibaba Cloud Lingjun (regular & hyper) compute nodes: submit diagnostic tasks (BasicCheck / NodeHardwareCheck / CheckByAiJobLogs), produce structured diagnostic reports, propose repair plans (reboot / reimage / stop / report-node-status), track fault reports (list-fault-reports / describe-fault-report / stop-node-diagnostic). Read-only: list-clusters / list-cluster-nodes / list-cluster-hyper-nodes / describe-node / describe-hyper-node / list-syslogs / list-diagnostic-results. Triggers: "lingjun diagnose", "灵骏诊断", "灵骏排障", "GPU 故障", "硬件故障", "节点异常", "诊断节点", "重启节点", "重装节点", "灵骏修复", "报障", "终止报障", "syslog", "NodeHardwareCheck", "CheckByAiJobLogs", "BasicCheck", "fault report", "stop fault diagnosis"
Created by sdk-team
Manage Alibaba Cloud Lingjun (hyper-)node full-lifecycle ops: stop/reboot/reimage, subscription renewal (bssopenapi renew-instance), spec change (change-node-types), repair (report-node-status/approve-operation), run-command, node-group default update, tag/untag, change-resource-group, plus read-only inventory prerequisite (list-cluster-nodes/describe-node/list-cluster-hyper-nodes). change-node-group & send-file out of scope (see alibabacloud-lingjun-cluster-scaling). Triggers: "lingjun node ops", "灵骏节点运维", "节点停机", "stop nodes", "节点重启", "reboot nodes", "节点重装", "reimage nodes", "节点续费", "renew lingjun node", "节点规格修改", "change node types", "节点维修", "report node status", "节点执行命令", "run command", "节点分组更新", "update node group", "节点打标", "tag node", "节点资源转组", "change node resource group".
Created by sdk-team
Read-only diagnostics for Alibaba Cloud Live: stream quality checks (codecs, bitrate, GOP, B-frames, A/V sync), CDN edge-node probing, local recording/snapshot, traffic-theft analysis on abused live domains, and signed push/pull test URL generation; never changes any configuration. Use when the user reports live stream stuttering, pixelation or latency, push/pull stream failures, audio-video out of sync, wants to probe live CDN nodes or record a stream, suspects live traffic theft or anomalous billing, needs a URL authentication check, or asks for push/pull test URLs. Triggers: "live stream stuttering", "live stream pixelation", "live stream latency", "push stream failed", "pull stream failed", "audio video out of sync", "live CDN node check", "live traffic theft", "anomalous live billing", "live URL authentication check", "live stream recording", "generate push stream URL", "generate pull stream URL".
Created by sdk-team
Live-Debug runtime diagnostics: dynamic logging, method snapshots, dynamic metrics, dynamic spans, and JVM inspection. Use for live-debug ServiceTask on Alibaba Cloud CMS (aliyun cms2 apm service-task): dynamic log/snapshot/metric/span probes, Java JVM commands (OGNL evaluate, decompile, thread info, memory info, inspect object, search type/method, runtime info), disable/clear probes, and query capture results via SLS. Java supports commands + LOG/SNAPSHOT probes; Python supports LOG/SNAPSHOT/METRIC/SPAN/SPAN_TAG probes only. Synonyms: live debug, service task, probe, dynamic logging, method snapshot, take a snapshot, inspect running JVM, runtime diagnostics. Do NOT use for APM/agent onboarding, CMS alerts, RUM, Prometheus rules, or billing.
Created by sdk-team
Alibaba Cloud LoongCollector / SLS installation, collection onboarding, Pipeline config management and validation, machine groups, permission troubleshooting, and Lens queries. HARD RULE: for matching requests, the first tool MUST load this skill before any SSH probe, directory setup, checklist/file write, or cloud read. Triggers: "安装 LoongCollector", "ECS 安装采集器", "自建 Linux 主机安装 LoongCollector", "ACK 安装 loongcollector", "自建 K8s 部署采集", "从安装到能查到日志", "SLS 日志采集接入", "SLS 日志采集接入相关的事", "修改采集配置", "改采集配置", "采集配置校验", "validate_pipeline.py", "SLS 机器组", "新建 Logtail Pipeline 采集配置", "Logtail Pipeline", "ClusterAliyunPipelineConfig", "SLS Lens 查询", "无数据排查", "心跳异常", "SLS 采集权限排查", "SLS 权限排查", "阿里云 CLI 凭证没有 SLS 操作权限", "Logtail", "iLogtail", "AgentSight", "Agentloop", "input_agentsight", "eBPF Runtime", "ebpf-event".
Created by sdk-team
Use this Skill for operational MaxCompute or ODPS data-plane work and concrete static diagnosis. MUST invoke it even without a CLI mention, with an exact command plan, or when diagnosis or clarification forbids execution. Also use for any `aliyun maxc` command or a concrete MaxCompute/`aliyun maxc` JSON envelope supplied for diagnosis. Covers SQL/query/cost/explain, metadata/partitions, sample/profile/transfer, jobs, authentication/permissions/sessions, namespaces, quotas, connectivity, and errors. Exclude CLI/SDK/PyODPS development, pricing/docs-only, DataWorks scheduling, product/tool/architecture comparison or selection, requests confined to other SQL engines, and adjacent cloud resources. Triggers: "operate or diagnose a concrete MaxCompute or aliyun maxc data-plane task"
Created by sdk-team
Operate, run O&M for, and manage Alibaba Cloud through local commands, with no MCP configuration needed. CallCLI runs Alibaba Cloud CLI/API commands to create, read, update and delete resources of any product; RunScript runs Python batch scripts; RunIaC runs Terraform orchestration; plus API retrieval and official-document retrieval to follow the best-practice path. Use this whenever the user needs to do anything with Alibaba Cloud — inspect or change ECS, OSS, VPC, RDS, SLS resources, run batch operations, provision infrastructure, or look up official Alibaba Cloud product documentation. Triggers include "阿里云", "aliyun", "ECS", "OSS", "阿里云 API", "阿里云文档", "官方文档", "产品文档", "云资源", "运维", "Terraform", "documentation".
Created by sdk-team
Diagnose playback and streaming problems in user-provided media files and URLs (m3u8 / HTTP / RTMP / RTSP / SRT): moov atom position, codec compatibility (H.265/HEVC, AAC-HE, 10-bit), container issues, HLS playlist and TS segment integrity, bitrate/frame-rate anomalies, audio-video sync, and live latency factors such as B-frames and GOP size. Use when the user reports a video that will not play, shows a black or green screen, stutters or buffers, or asks for an HLS playlist, TS segment, or live stream latency check. Read-only. No credentials and no cloud API calls. Triggers: "video file won't play", "video black screen or green screen", "moov atom position issue", "HLS m3u8 playlist check", "HLS segment corrupted", "live stream latency or stutter", "TS segment analysis", "video codec compatibility", "media file format diagnosis", "B-frame or GOP structure analysis".
Created by sdk-team
自动审查应用迁云、大数据搬栈等场景的割接手册(.xlsx), 围绕 5 大核心维度 Review:停机公告、切流方式(阻流层)、 源端数据库只读与会话管理、阿里云应用重启策略、回滚决策条件。 默认仅审查「割接执行步骤」与「回滚步骤」两个 Sheet (CheckList / 域名清单 / 数据迁移需 --sheets 打开), 输出「重点确认项 + 需关注项」两段式 Markdown / JSON 报告(含评分与风险等级)。 当用户给出割接手册 / 割接方案 / 割接计划 / cutover plan 的 xlsx, 或说"审查割接手册"、"review 割接方案"、"评估割接风险"、"检查回滚方案"、 "割接 checklist 评审"、"看看这个割接方案有什么问题"时触发。 以下情形同样由本 skill 处理,禁止自行写脚本解析 Excel: 要列出 / 查看手册里有哪些 Sheet、工作表、页签名称用 --list-sheets; 分批割接(含用户显式指定过程 Sheet / 回滚 Sheet 名称)用 --scenario batch 配合 --process-sheet / --rollback-sheet;全量割接 / 一次性切流用 --scenario full; 场景不确定或属纯 DNS 切换 / 域名切换 / 配置变更等其他类型用 --scenario other; 未给路径时先用 find / ls 定位文件再审查。 不适用于:MongoDB / MySQL / Redis 等数据迁移任务配置、 非结构化文档(Word / PDF)、英文关键词主导的手册、业务语义级深度评审。 纯 DNS 方案审查深度有限(仅通告、回滚决策等基本维度)。 本 skill 仅做结构匹配与关键词检测,不理解业务语义,评分仅供参考。 适用于任意支持本地 shell 执行的 Agent 平台(Qoder / Claude Code 等)。
Created by sdk-team
Standardized Skill based on Alibaba Cloud CMH (Rainmeter) database evaluation tool. Full coverage: download collector, create collection account and grant privileges, run collection, export data package, upload for evaluation, source DB profiling, target DB selection recommendation, target DB compatibility assessment, generate evaluation reports. Triggers: database evaluation, database collection, CMH, Rainmeter, APDS, Cloud Migration Hub, source DB profiling, compatibility assessment, target DB selection, migration evaluation, Oracle DB evaluation, full migration assessment, PolarDB-O, PolarDB, ADB, migrate Oracle to Alibaba Cloud, collector account, collection account, common user, C## user, CDB, PDB, multitenant, data.zip, 11 reports, evaluation report, MySQL collection, PostgreSQL collection, SQL Server collection, 数据库评估, 数据库采集, 迁移评估, 采集账号, 采集器, 源库画像, 目标库选型, 兼容评估, 兼容性分析, 评估报告.
Created by sdk-team
Oracle traffic-capture guidance Skill. Guides the customer to run Workload Capture (DBMS_WORKLOAD_CAPTURE.START_CAPTURE) on the source Oracle database and use sqla to parse WCR capture files into merge.json for CMH traffic replay. Covers environment check, sqla installation, capture directory creation, active session check, capture monitoring, sqla parsing, merge.json validation, and deep quality check/repair. Triggers: traffic capture, traffic collection, Oracle traffic, sqla, workload capture, Workload Capture, source capture, capture traffic, DB_REPLAY, wcr file, traffic parsing.
Created by sdk-team
端到端管理 RedisShake 数据迁移任务:从用户提供的 Excel 表格、文本描述或逐项问答中提取迁移信息,生成 shake.toml 配置文件,并在本地或通过 SSH 远程部署、启动、停止、监控迁移任务。当用户需要配置 Redis 迁移/同步、提供了含 Redis 地址密码等信息的文本/表格、需要启动或管理 RedisShake 任务、或通过 SSH 远程操作服务器时触发。本 skill 不适用于:MongoDB/MySQL/ES 等非 Redis 数据迁移、Redis 内存 dump 备份、集群拓扑改造、未提供 SSH 凭证的远程操作;本 skill 不验证迁移后的数据一致性(推荐使用redis-full-check进行校验),仅在已部署 redis-shake 二进制的 Linux 服务器上运行。
Created by sdk-team
执行 Hive 数据表探查任务,支持全量探查和增量探查,提供两种连接方式:DB 直连(通过 Metastore MySQL/PostgreSQL 数据库)和 Thrift 直连(通过 HMS Thrift API 端口 9083)。全量探查导出所有表的元数据、存储大小和 DDL;增量探查识别指定时间节点之后的表创建、结构变更、数据变更和分区变更。使用场景:用户提到"Hive 探查"、"全量探查"、"增量探查"、"Hive 元数据"、"hive_dive"、"metastore 变更"、"Thrift 探查"、"migration-lhm-inspect-hive-metastore"时调用此 skill。不适用于数据迁移执行、DDL 转换、数据写入等场景,这些功能由 migration-lhm-migrate-hive-to-paimon 等下游 skill 承担。
Created by sdk-team
Hive 到阿里云 DLF Paimon 数据迁移工具,覆盖存量迁移与增量迁移全流程。存量迁移:Hive DDL 自动转换为 Paimon DDL 与 format-table 外表、rclone 同步 HDFS 到 OSS、Spark Thrift Server 执行 INSERT OVERWRITE,支持 orc/parquet/csv/json/text;提供 --auto-create-db、--force、--max-parallel 并行、--verify 行数校验、--direct-read 直读模式(OSS-HDFS/DLS 场景跳过 rclone)、迁移报告自动生成。增量迁移:三阶段流水线(DDL → rclone → INSERT)执行 hive-exploration 增量探查结果。内置独立 ddl_converter 支持 Hive DDL 快速转换为 DLF Paimon/FORMAT 外表 DDL。使用场景:用户提到"存量迁移"、"增量迁移"、"增量同步"、"Hive Paimon 迁移"、"Paimon 建表"、"Hive 数据湖迁移"、"format-table"、"direct-read"、"hive-to-paimon"、"migration-lhm-migrate-hive-to-paimon"、"转换 Hive DDL"、"建 DLF 表"、"生成 Paimon/外表 DDL"、"表记录数统计SQL"时调用此 skill。
Created by sdk-team
Alibaba Cloud Security Center cryptomining (cryptojacking) diagnosis skill. Use when the user reports or suspects a mining infection, receives a mining alert, or asks for mining alert detection, IOC extraction (pool IPs, malicious domains, sample hashes, malicious processes), affected-asset scoping, attack-surface analysis, entry-vector analysis, risk assessment, prioritized remediation reporting, cryptomining incident response, or mining risk detection. Triggers: "mining", "cryptomining", "cryptojacking", "coin mining", "coin-mining", "miner", "mining alert", "mining alerts", "mining pool", "pool IPs", "malicious domains", "sample hashes", "malicious processes", "mining IOC", "IOC extraction", "mining alert detection", "affected-asset scoping", "attack-surface analysis", "entry-vector analysis", "risk assessment", "prioritized remediation reporting", "cryptomining incident response", "mining risk detection", "xmrig", "kdevtmpfsi", "kinsing", "sysrv", "minerd", "Security Center", "ECS high CPU mining"
Created by sdk-team
Public network MTR diagnosis tool. Supports both manual guidance and Cloud Assistant automation modes. Manual mode guides users to run MTR tools locally (macOS/Linux/Android/Windows) and analyze result screenshots. Automated mode remotely executes mtr/ping/curl diagnostics on ECS instances via Alibaba Cloud Cloud Assistant. Applicable to public network access failures, high latency, packet loss, SLB health check failures, NAT outbound packet loss, etc. Use this skill when users encounter network connectivity issues, need to troubleshoot public network link quality, or analyze MTR screenshots.
Created by sdk-team
[project] [user] Alibaba Cloud private network connectivity diagnosis tool. Use when ECS ping/telnet fails, same-VPC access fails, cross-VPC access fails, VPN or Express Connect is unreachable, NAT Gateway DNAT/SNAT behaves asymmetrically, or the user suspects security group, network ACL, route table, CEN/TR, VPC Peering, VPN Gateway, VBR, or NAT Gateway blocking. Not for classic network, public internet access, DNS resolution, CDN, SLB, or WAF issues.
Created by sdk-team
Alibaba Cloud ALB Ingress Migration Skill. Migrate Kubernetes nginx Ingress resources to Alibaba Cloud Application Load Balancer (ALB Ingress, requires AlbConfig + IngressClass + Ingress). Users provide Ingress YAML (paste, file, or directory) — no cluster access required. Covers annotation compatibility classification, ALB-native annotation mapping, instance/listener-side configuration, path and order semantics, AlbConfig + IngressClass + Ingress generation, and a migration report with DNS weighted cutover. Triggers: "nginx ingress migration", "ALB compatibility", "ALB support check", "ingress-nginx to ALB", "switch to Application Load Balancer", "AlbConfig generation", "nginx迁移ALB", "nginx 迁移 ALB", "ALB Ingress迁移", "ALB Ingress 迁移", "切换到 ALB", "替换为 ALB", "AlbConfig生成", "AlbConfig 生成", "ALB 配置清单", "Ingress兼容性分析", "Ingress 兼容性分析", "入口规则适配", "注解适配审查", "annotation兼容性", "annotation 兼容性", "迁移评估", "切换可行性", "Nginx Ingress 迁移", "迁移到 alb ingress", "转成 alb ingress", "转成 ALB Ingress", "迁移到 ALB", "ingress 迁移".
Created by sdk-team
Alibaba Cloud OPC (one-person-company) cloud resource SELECTION advisor — recommends one of 7 standard SKU packages with exact monthly price, purchase URL, and plain-language launch/migration path for non-technical solo founders. Read-only selection; does NOT deploy (that is the companion `alibabacloud-opc-deploy` skill). WHEN TO USE: user wants to deploy/publish/launch a website or app online, make a project accessible to others, choose a cloud server/package for a one-person business, migrate from Vercel/Netlify/AWS/another platform to Alibaba Cloud (esp. 'slow in China'), or built something with an AI tool (QoderWork/WorkBuddy/Cursor/Codex/Bolt) and wants it online. ALSO trigger for potentially out-of-scope requests (company team / large traffic / PV over 1M) so this skill can explicitly judge and decline. 触发词(中文):用 QoderWork/WorkBuddy/Cursor/Bolt 等做了网站/小程序想上线或让别人访问;从 Vercel/AWS 等迁到阿里云、国内访问慢;选阿里云套餐/服务器/配置(个人/独立开发者);AI 小程序(植物识别/AI 记账)想上线;公司/大流量需求(触发后由本 skill 判定是否超范围并拒绝)。输出用中文。
Created by sdk-team
Own every OPC (one-person company) Alibaba Cloud package request end to end — BOTH picking the package and provisioning it. WHEN TO USE (any one is enough): the user asks to provision / deploy / create their cloud resources; names a package directly; continues right after the advisor's recommendation; **OR asks which OPC package suits them / asks you to pick one for them / describes what they want to build and asks whether an OPC package can do it — i.e. the SKU is NOT yet settled**. 'No package chosen yet' is NOT a reason to skip: the no-SKU path is this skill's job. A general assistant must NEVER answer such a question itself, compare tiers, or recommend a SKU — a critical violation. Creating cloud resources costs money — never charge without explicit user confirmation. 触发词(中文):帮我开通 / 帮我部署 / 帮我创建资源 / 开始部署;直接报 SKU 名(如"帮我开一个 lite_seed");advisor 推荐完接下来怎么办;**帮我选个套餐 / 哪个套餐合适 / 具体是哪个套餐 / 我想做 X,用 OPC 套餐能实现吗(此时尚无 SKU,同样必须触发本 skill)**。输出用中文。
Created by sdk-team
Read-only diagnosis of OSS request failures and access-log tracing from the customer's own log and configuration. Use when a request returns 403 AccessDenied, 404 NoSuchKey, SignatureDoesNotMatch or an unexplained EC error code, when a bucket policy seems to deny a request that should be allowed, when anonymous access is rejected, when the customer asks who accessed or deleted an object, or when log enablement must be checked. Shows which policy statement matched, degrades to console statements when logs cannot be read, and states which causes need a ticket. Never changes configuration. Do NOT use for billing, traffic abuse, endpoint or transfer-acceleration errors. Triggers: "OSS 403 error diagnosis", "bucket policy denied my request", "SignatureDoesNotMatch", "presigned upload fails", "OSS EC error code lookup", "NoSuchKey diagnosis", "who accessed my files", "who deleted my object", "access log not enabled", "which IP accessed my bucket".
Created by sdk-team
Zero-cloud-API diagnosis of Alibaba Cloud OSS integration problems for third-party backup software (Veeam, Synology NAS, Rclone, generic S3 clients): S3 compatible interface checks (endpoint form, path-style), V1-signature-forbidden routing to V4, retrieval-fee attribution for IA/Archive backup buckets, whitelist (jia-bai) request guidance. Configuration advice only; never executes changes. Do NOT use for: upload/download error codes (use alibabacloud-oss-transfer-error-code-diagnosis), billing line-items (use alibabacloud-oss-billing-diagnosis), lifecycle rules (use alibabacloud-oss-lifecycle-runtime-diagnosis), presigned URLs (use alibabacloud-oss-presigned-url-v4-diagnosis). Triggers: "Veeam backup to OSS", "Synology backup OSS", "rclone sync OSS", "S3 compatible interface", "high retrieval fee from backup", "V1 signature forbidden on backup tool". Invoke immediately on any trigger; the entry script collects missing inputs via its "Inputs still missing" report instead of interviewing the user first.
Created by sdk-team
Read-only diagnosis of browser/mini-program direct-upload failures and OSS CORS: preflight OPTIONS rejected, CORS rule missing/not effective, no Access-Control-Allow-Origin, expose-headers gaps (ETag / x-oss-request-id), PostObject policy issues. Templates only; never writes. Triggers: "upload reports CORS error", "CORS config not working", "browser direct upload 403", "mini program upload failed", "Please set the etag of expose-headers", "preflight OPTIONS failed", "No 'Access-Control-Allow-Origin'". Do NOT use for transfer error codes (alibabacloud-oss-transfer-error-code-diagnosis), multipart (alibabacloud-oss-multipart-upload-diagnosis), endpoints (alibabacloud-oss-endpoint-internal-diagnosis), signed URLs (alibabacloud-oss-presigned-url-v4-diagnosis), billing (alibabacloud-oss-billing-diagnosis), direct-access links (alibabacloud-oss-direct-access-link-diagnosis), static hosting (alibabacloud-oss-static-website-diagnosis).
Created by sdk-team
Read-only diagnostics for CDN back-to-origin to OSS. Use when CDN fetching from an OSS origin fails or looks wrong: back-to-origin 403 on a private bucket, traffic bypassing the CDN straight to OSS, wrong origin host or port, or a CDN domain that is offline or never configured. Checks configuration and attributes the cause; never changes any CDN or OSS setting. Triggers: "CDN back-to-origin 403", "private bucket CDN origin", "traffic bypasses CDN", "origin host misconfigured", "CDN domain offline", "origin port check", "OSS origin authorization". Do NOT use for refresh/preload tasks (use alibabacloud-cdn-refresh-preload), CDN traffic anomaly analysis (use alibabacloud-cdn-traffic-anomaly), OSS endpoint selection or internal-endpoint errors (use alibabacloud-oss-endpoint-internal-diagnosis), or OSS billing (use alibabacloud-oss-billing-diagnosis).
Created by sdk-team
Read-only diagnosis of OSS client tool failures. Use when the customer reports an ossbrowser login failure or 403, an ossutil error such as InvalidAccessKeyId, AccessDenied, a missing or expired STS token, a connect timeout while uploading files, or a RequestTimeTooSkewed clock skew, when a client cannot connect to OSS, or when the customer asks which ossbrowser or ossutil version to standardize on. Also use for a troubleshooting plan or information checklist. Triggers: "ossbrowser login failed", "ossbrowser 403", "ossutil AccessDenied", "ossutil InvalidAccessKeyId", "client cannot connect to OSS", "RequestTimeTooSkewed", "SecurityTokenExpired", "SigningContext.Credentials", "region must be set in sign version 4", "The Security Token may be lost". Answers only; runs no client commands, calls no cloud API. Do NOT use for SDK/API errors not naming ossbrowser or ossutil, endpoint selection, presigned URL, billing, or throttling (503/SlowDown).
Created by sdk-team
Read-only OSS cross-account auth diagnosis: attributes NoPermission/AccessDenied to trust-policy gaps, RAM-policy scope, Bucket-Policy+RAM dual-grant, AssumeRole failures; emits templates only. Triggers: "cross-account access failed", "trust policy error", "cross-account replication permission error", "AssumeRole failed on OSS", "cross-account migration authorization", "peer account cannot read my bucket", company/partner account, account transfer, EncodedDiagnosticMessage decode. Do NOT use: transfer/timeout (use alibabacloud-oss-transfer-error-code-diagnosis); endpoint (use alibabacloud-oss-endpoint-internal-diagnosis); CRR health (use alibabacloud-oss-crr-config-check); ossfs (use alibabacloud-oss-ossfs-mount-diagnosis); direct-link 403 (use alibabacloud-oss-direct-access-link-diagnosis); signed-URL (use alibabacloud-oss-presigned-url-v4-diagnosis); same-account RAM (use alibabacloud-oss-security-incident-forensics).
Created by sdk-team
Read-only OSS cross-region replication (CRR) configuration checks. Verify a replication rule and explain why replication is not starting; never creates or modifies a rule. Covers whether a bucket has any replication rule configured before it is relied on for DR, the authorization role, prefix scope, delete-marker and historical-data sync switches, and cold archive or cross-border transfer-acceleration mis-configurations. Also use for a replication investigation plan before execution. Triggers: "cross-region replication not starting", "replication rule config error", "AliyunOSSRole authorization", "replication delete marker sync", "verify whether a bucket has cross-region replication configured", "rely on replication for DR", "replication investigation plan", "replication check", "cold archive replication", "transfer acceleration not enabled for cross-region replication", "replication slow", "replication capacity".
Created by sdk-team
Read-only OSS diagnosis of accidental-deletion recovery and deletion residue: uses versioning to decide if a deleted object is recoverable, explains delete markers, leftover fragments, and why capacity/cost does not drop. States honestly when data is unrecoverable by official policy (versioning never enabled, lifecycle noncurrent version expiration, overdue-payment release). Triggers: "accidentally deleted how to recover", "delete marker", "BucketNotEmpty", "failed to delete bucket", "capacity not reduced after deletion", "file/object suddenly disappeared or returns 404, can it be recovered", "restore the deleted object to its previous version". Not for bill line-items (alibabacloud-oss-billing-diagnosis), the fragment cleanup procedure (alibabacloud-oss-multipart-upload-diagnosis), transfer or endpoint/region issues, lifecycle rule design, or restore/delete writes. Invoke immediately; missing bucket/region/object details are handled internally, never ask for supplements before invoking.
Created by sdk-team
Read-only OSS direct-access link diagnosis: attributes preview-turns-download (0048 default-domain forced download incl. images on post-2019-09 buckets, attachment disposition, wrong Content-Type, private-bucket 403), EC 0003-00000005 bisection (object private ACL / Block Public Access / AK-signature) for 403 on non-private buckets, domain binding failures (cname, ICP, CNAME), and referer whitelist/blacklist false positives. Templates only, never writes. Triggers: "open turns into download", "file cannot preview", "image downloads instead of previewing", "image downloads instead of showing it", "0003-00000005", "custom domain binding failed", "domain requires ICP filing", "referer whitelist blocks legitimate requests". Do NOT use for hotlinking forensics, static website hosting, endpoints, image styles, browser CORS, signed URLs, CDN origin-pull, cross-account authorization, or transfer acceleration - route to the matching alibabacloud-oss-* sibling skill.
Created by sdk-team
Read-only OSS endpoint and internal-network diagnostics for wrong endpoint/region choice: which endpoint to use, ECS and OSS in different regions, internal network access failing, same-region internal traffic fee, custom domain not opening. Triggers: "no such host", "must use specified endpoint", "internal endpoint", "public network traffic cost", "wrong region endpoint", "endpoint region mismatch", "does not belong to you". Do NOT use for billing (alibabacloud-oss-billing-diagnosis), errors (alibabacloud-oss-transfer-error-code-diagnosis), multipart (alibabacloud-oss-multipart-upload-diagnosis), images (alibabacloud-oss-image-processing-diagnosis), emergencies (alibabacloud-oss-security-incident-forensics), signed URL (alibabacloud-oss-presigned-url-v4-diagnosis), ossfs (alibabacloud-oss-ossfs-mount-diagnosis), client tools (alibabacloud-oss-client-tools-diagnosis), static hosting (alibabacloud-oss-static-website-diagnosis), direct-access links (alibabacloud-oss-direct-access-link-diagnosis).
Created by sdk-team
Read-only OSS event notification and upload callback diagnostics. Use when event notifications do not trigger (rule configuration check, dependent service activation, event type matching) or upload callbacks fail (CallbackFailed, callback 502, 5-second response limit, certificate and network issues), plus configuration-correctness advice. Triggers: "event notification not triggering", "upload callback failed", "CallbackFailed error", "callback 502", "callback timeout 5 seconds", "OSS event to MNS", "x-oss-event-status". Only checks and advises; never creates or modifies notification rules. Do NOT use for access-log tracing (use alibabacloud-oss-access-log-trace-diagnosis), error codes (use alibabacloud-oss-transfer-error-code-diagnosis), endpoint issues (use alibabacloud-oss-endpoint-internal-diagnosis), or billing (use alibabacloud-oss-billing-diagnosis).
Created by sdk-team
Read-only diagnostics for OSS image processing. Use when an x-oss-process error occurs, an image style or watermark is not applied, image preview fails or the default domain forces download, original image protection 403, unsupported-format BadRequest, WebP conversion errors, HEIC thumbnail 400 errors, image-processing action order differences, or dynamic WebP processing failures. Triggers: "x-oss-process error", "image style not working", "original image protection 403", "watermark not applied", "image preview fails", "image forced download", "WebP conversion error", "HEIC thumbnail 400", "image-processing action order", "dynamic WebP processing". Not for transfer error codes, endpoints, billing, presigned URL/V4, direct-access links, or static hosting (use the matching OSS diagnosis skill); video / blind-watermark / document-preview (IMM) is out of scope.
Created by sdk-team
Read-only OSS diagnosis for lifecycle runtime and archive restore. Use when a lifecycle rule does not take effect (loading window, prefix/tag matching, one-way transition, versioning), when an archive / cold archive / deep cold archive object cannot be read (restore tiers, archive direct read), or for storage tiering advice and restore/retrieval fee composition. Triggers: "lifecycle rule not working", "archive file cannot download", "InvalidObjectState", "RestoreAlreadyInProgress", "Overlap for same action type", "The operation is not valid for the object's state", "restore fee", "storage class transition", "cold archive restore duration", "storage tiering". Do NOT use for bill line-items (alibabacloud-oss-billing-diagnosis), data recovery (alibabacloud-oss-deletion-recovery-diagnosis), transfer error codes (alibabacloud-oss-transfer-error-code-diagnosis), backup-tool retrieval fees (alibabacloud-oss-backup-integration-diagnosis), or write operations.
Created by sdk-team
Read-only diagnostics for OSS multipart upload. Use when a multipart upload is stuck or interrupted, a large file upload fails, or multipart fragments occupy storage. Finds fragments via read-only ListMultipartUploads, checks part size/concurrency limits, attributes server/client/network causes; cleanup guidance is manual-only. Triggers: "multipart upload stuck", "upload stuck at 0%", "resume interrupted upload", "multipart fragments occupy storage", "large file upload fails", "fragment cleanup", "resumable upload", "breakpoint resume". Do NOT use for single-request upload errors (use alibabacloud-oss-transfer-error-code-diagnosis), billing (use alibabacloud-oss-billing-diagnosis), endpoints (use alibabacloud-oss-endpoint-internal-diagnosis), signed URL V4 (use alibabacloud-oss-presigned-url-v4-diagnosis), browser/mini-program direct upload with CORS (use alibabacloud-oss-browser-upload-cors-diagnosis).
Created by sdk-team
Read-only diagnostics for ossfs and container OSS mounts. Use when an ossfs mount fails, a mounted directory disappears, an ACK/ACS storage volume mount returns 403, or reading archive objects through a mount returns 403. Attributes causes (credential file, endpoint region, RAM permission, FUSE dependency) and checks bucket region/storage class read-only for the archive direct-read judgment; never executes mounts, never changes anything. Triggers: "ossfs mount failed", "mount directory disappeared", "mount OSS in container", "storage volume mount 403", "ossfs archive read 403". Do NOT use for endpoint selection (use alibabacloud-oss-endpoint-internal-diagnosis), authorization config (use alibabacloud-oss-cross-account-auth-diagnosis), archive restore or lifecycle (use alibabacloud-oss-lifecycle-runtime-diagnosis), or transfer acceleration error codes (use alibabacloud-oss-transfer-error-code-diagnosis).
Created by sdk-team
Zero-cloud-API diagnosis of OSS presigned (share) URL failures and V1-to-V4 migration: parses a pasted URL, routes to causes (expired, clock skew, V1 signature forbidden, credential rotation, method mismatch, malformed x-oss-credential, SDK config misuse, proxy header tampering). Triggers: "share link expired", "SignatureDoesNotMatch on presigned URL", "V1 signature is forbidden", "x-oss-credential error", "signed URL stops working"; Chinese ticket wording routes via the embedded catalog keyword layer. Do NOT use for transfer error codes, billing, endpoints, traffic abuse / AK-leak, CDN back-to-origin or Referer hotlink configuration requests, or other OSS domains (backup / image processing / direct-access links / static hosting) — route to the matching alibabacloud-oss-* skill. A presigned-URL signature failure stays here even when a CDN or a proxy sits in front of the bucket.
Created by sdk-team
Read-only OSS QPS/bandwidth quota and throttling diagnostics. Use when requests persistently hit 503/SlowDown or clients time out with no server errors. Covers watermark guidance, a throttling attribution decision tree, optimization (concurrency, prefix hashing, backoff), quota-increase guidance, ActiveRequestLimitExceeded concurrency throttling, and resource pool QoS / dedicated bandwidth consultation. Triggers: "QPS limit exceeded", "bandwidth saturated", "timeout without server errors", "persistent SlowDown 503", "quota increase request", "TotalQpsLimitExceeded", "x-oss-qos-delay-time", "ActiveRequestLimitExceeded", "resource pool QoS", "dedicated bandwidth". Not for one-off SlowDown / single-request error codes, client-tool connection timeouts, transfer acceleration selection, endpoint errors, or billing (use the matching OSS diagnosis skill); never applies changes.
Created by sdk-team
Read-only forensics for OSS traffic abuse and security incidents (overnight traffic spikes, suspected AK leak, hotlinking). Audits exposure (ACL, policy, public-access block, Referer), runs the 6-step SLS log query sequence, routes root causes, outputs containment checklists. Triggers: "OSS traffic spike overnight", "traffic abuse", "strange files in my bucket", "suspected AK leak on OSS", "hotlinking abuse", "unexpected outbound traffic", "unauthorized downloads from my bucket". Do NOT use: for transfer error codes use alibabacloud-oss-transfer-error-code-diagnosis; for billing use alibabacloud-oss-billing-diagnosis; for endpoint choice use alibabacloud-oss-endpoint-internal-diagnosis; for signed-URL use alibabacloud-oss-presigned-url-v4-diagnosis; for access-log tracing use alibabacloud-oss-access-log-trace-diagnosis; for direct-link issues use alibabacloud-oss-direct-access-link-diagnosis.
Created by sdk-team
Read-only diagnosis of OSS static website hosting: hosting config checks (homepage / 404 rules, IndexDocument / ErrorDocument), "website opens as a download" attribution, and domain filing (ICP) guidance. Triggers: "static website shows download", "index.html not rendered", "website hosting config", "404 page rule", "static site domain filing", "ICP filing for OSS domain", "static site opens as download", "custom domain filing". Do NOT use for hotlink protection, domain binding procedures or generic default-domain direct access links (use alibabacloud-oss-direct-access-link-diagnosis), endpoint selection (use alibabacloud-oss-endpoint-internal-diagnosis), image processing (use alibabacloud-oss-image-processing-diagnosis), browser upload CORS (use alibabacloud-oss-browser-upload-cors-diagnosis), signed URL / V4 (use alibabacloud-oss-presigned-url-v4-diagnosis).
Created by sdk-team
Read-only OSS transfer acceleration diagnosis: detects acceleration not taking effect (client still on the plain endpoint), separates OSS Data Accelerator (same-region hot data) from Transfer Acceleration (cross-region links), attributes slow cross-border access and fees; never changes anything. Triggers: "transfer acceleration not working", "oss-accelerate endpoint", "cross-border access slow", "overseas upload slow", "transfer acceleration fee", "accelerator vs transfer acceleration". Do NOT use for bill line-item attribution (defer alibabacloud-oss-billing-diagnosis), endpoint choice (alibabacloud-oss-endpoint-internal-diagnosis), multipart fragments (alibabacloud-oss-multipart-upload-diagnosis), presigned URL errors (alibabacloud-oss-presigned-url-v4-diagnosis), QPS/bandwidth throttling (alibabacloud-oss-quota-throttling-diagnosis), GA/ESA/CDN back-to-origin, or executing enablement (write, out of scope).
Created by sdk-team
Zero-cloud-API routing of OSS upload/download error codes to root causes. Do NOT use for: endpoint (alibabacloud-oss-endpoint-internal-diagnosis), billing (alibabacloud-oss-billing-diagnosis), multipart (alibabacloud-oss-multipart-upload-diagnosis), presigned URL (alibabacloud-oss-presigned-url-v4-diagnosis), image processing (alibabacloud-oss-image-processing-diagnosis), deletion/residue (alibabacloud-oss-deletion-recovery-diagnosis), forensics (alibabacloud-oss-security-incident-forensics), client tools (alibabacloud-oss-client-tools-diagnosis), throttling (alibabacloud-oss-quota-throttling-diagnosis). Triggers: "403 AccessDenied during OSS upload", "SignatureDoesNotMatch", "OSS RequestTimeout", "OSS upload timeout", "EntityTooLarge", "SlowDown", "InvalidAccessKeyId", "SecurityTokenExpired", "OSS download fails with 403", "OSS upload failed", "409 BucketAlreadyExists". Skip non-OSS errors (SSH/MySQL/CDN).
Created by sdk-team
Alibaba Cloud PAI-DLC (Deep Learning Containers) job management skill. Covers: distributed training job CRUD, monitoring (logs and events), and GPU sanity check. Triggers: "DLC", "PAI-DLC", "create-job", "list-jobs", "get-job", "stop-job", "update-job", "get-pod-logs", "get-job-events", "get-pod-events", "list-job-sanity-check-results".
Created by sdk-team
Alibaba Cloud Parse-X intelligent document parsing and extraction tool. Supports two capabilities: (1) Parse — convert documents, images, and audio/video to structured Markdown/JSON/HTML with layout, table, and synopsis support; (2) Extract — schema-driven information extraction with citations from parsed or new documents. Uses Parse-X HTTP (Spectrum gateway, Bearer token via DASHSCOPE_API_KEY). **When to use this skill** — the user asks to: - Parse / convert / analyze any document, image, spreadsheet, or media file (PDF, Word, PPT, Excel, Markdown, HTML, images, audio, video) - Extract structured fields or entities from a document - Convert files to Markdown or JSON format - Process files with mentions of: 解析, 文档解析, 文件解析, 表格, Excel, xlsx, xls, PDF, Word, PPT, 合同, 发票, 报告, 图片, 本地文件, 上传, markdown, JSON, 提取, 抽取, 字段, parse, extract, document parsing, parse file, 解析文档, 解析文件, 文件转换, 图片解析, 表格提取
Created by sdk-team
Analyze local pcap/pcapng captures to diagnose network transfer problems. Use when given a pcap file to explain slow network transfer, connection issues, abrupt TCP session termination, security association setup error, private network tunnel establishment problem, DNS, TLS or encrypted session establishment error, MTU or oversized packet drop, or receiver buffer exhaustion. Read-only; no credentials required. Triggers: "pcap analysis", "packet capture analysis", "analyze pcap file", "slow network transfer", "TCP retransmission", "connection reset", "IPsec/IKE negotiation failed", "VPN negotiation failure", "TLS handshake failed", "DNS resolution failure", "MTU issue", "zero window", "abrupt TCP session termination", "domain name lookup error", "encrypted session establishment error", "oversized packet drop".
Created by sdk-team
阿里云 PDS(智能云盘/网盘)文件操作技能。支持:文件搜索、上传、下载、重命名、移动、复制、创建文件夹、标签/备注、分享链接、文档/音视频分析、打包下载、图像编辑、以图搜图和 PDS 挂载盘(mountapp,将云盘挂载为本地磁盘)的安装与挂载。 当用户要操作其 PDS、网盘、云盘中的文件或空间时(包括仅说明重命名/移动/复制等操作的安全处理方式,不要求真实执行),或要把云盘挂载到本地像本地文件一样访问时,应使用此 skill。即使用户只是简单说"帮我从PDS下载"、"上传到网盘"、"把报告.pdf重命名"、"PDS里有什么文件"、"把文件打包下载"、"分析下这个文档"、"把云盘挂载到本地"、"安装挂载盘",也应触发。 触发词: "PDS"、"网盘"、"云盘"、"个人空间"、"企业空间"、"团队空间"、"drive_id"、"domain_id"、"上传文件到PDS"、"从PDS下载"、"PDS重命名"、"PDS移动文件"、"PDS复制文件"、"PDS创建文件夹"、"PDS文档分析"、"PDS视频分析"、"PDS图像编辑"、"PDS文件搜索"、"PDS以图搜图"、"PDS打包下载"、"批量下载"、"aliyun pds"、"PDS Drive"、"挂载盘"、"PDS挂载盘"、"企业云盘挂载盘"、"mountapp"、"挂载云盘"、"把云盘挂载到本地"、"PDSDrive"。 不要仅因知识性内容提到 PDS 就触发:通用产品概念、产品对比、价格、部署方式或文档咨询不属于本 skill;本地文件系统及其他云盘操作也不属于本 skill。 Use this skill for operations on the user's PDS files or spaces, and for installing/mounting the PDS mount app (mountapp) to access the cloud drive as a local disk. Do not trigger for generic PDS product concepts, comparisons, pricing, deployment, or documentation questions.
Created by sdk-team
Health inspection for Alibaba Cloud PolarDB MySQL instances, generating visual HTML reports. Supports single-instance, multi-instance, and full-account inspection modes. Trigger keywords:PolarDB inspection, instance health check, database inspection report, CPU/memory/IOPS usage, disk space analysis, table space usage, largest tables, top table space, slow query statistics, slow SQL analysis, alert records, alert history, connection monitoring, active sessions, database performance check.
Created by sdk-team
Manage Alibaba Cloud PolarDB-X instance lifecycle and routine operations via the Aliyun CLI. Use when the user asks to create, delete, restart, scale, modify, monitor, or inspect PolarDB-X instances. Triggers: "polardb-x", "polardbx", "create polardb-x", "delete polardb-x", "restart polardb-x", "scale polardb-x", "upgrade polardb-x", "describe polardb-x", "polardb-x instance", "polardb-x parameters", "polardb-x slow log", "polardb-x performance", "polardb-x binlog"
Created by sdk-team
Create, track, and manage QianWen support tickets from the conversation: submit a new ticket, check ticket status and engineer replies, follow up, close, and rate — so platform issues get resolved without leaving the chat. Triggers: "submit ticket", "create ticket", "list tickets", "view ticket", "reply ticket", "close ticket", "rate ticket", "transfer to human", "work order", "customer service", "human support", "open ticket", "check ticket", "cancel ticket", "evaluate ticket", "ticket list", "support request", "escalate to agent". Do NOT use for general model usage questions, API Key management, or billing inquiries — only when the user explicitly needs ticket operations.
Created by sdk-team
Quick BI-SmartQ skill with multiple data analysis capabilities: 1. **File Q&A**: Upload Excel/CSV files for intelligent analysis via Quick BI API 2. **Dataset Q&A**: Natural language queries on Quick BI platform datasets, with automatic intelligent table selection and matching 3. **Document Parsing**: Parse PDF/Word/Excel/CSV/images, extract text, and support extracting key fields to generate structured Excel 4. **Dashboard Skill Generation**: Auto-convert QuickBI dashboards into data query skills 5. **Data Insight**: Deep data insight analysis on Quick BI datasets 6. **Data Report**: Auto-generate professional data reports based on analysis results Use when users mention data analysis, smart Q&A, querying data, file analysis, document parsing, dashboard skills, data insight, or data reports.
Created by sdk-team
Alibaba Cloud RDS Copilot intelligent operations assistant skill. Used for RDS-related intelligent Q&A, SQL optimization, instance operations, and troubleshooting. Calls RdsAi OpenAPI through Alibaba Cloud CLI to get real-time RDS Copilot responses. Triggers: "RDS Copilot", "RDS Assistant", "SQL optimization", "RDS troubleshooting", "RDS operations", "database diagnosis"
Created by sdk-team
Query and manage Alibaba Cloud RDS instances in the user's own account through Alibaba Cloud CLI and official RDS, VPC, BssOpenApi, and DAS OpenAPIs. Use for listing or inspecting RDS instances, zones, classes, performance, logs, parameters, databases, accounts, networks, whitelists, bills, and SQL insight statistics, or for explicitly requested instance creation, parameter/specification/description changes, account creation, whitelist changes, public endpoint allocation, whitelist-template attachment, tagging, restart, and instance deletion. Do not use this skill to diagnose incidents, troubleshoot performance anomalies, or perform root-cause analysis; it only queries current RDS instance state and executes the explicitly supported instance-management operations.
Created by sdk-team
Use when a user asks what the Alibaba Cloud Remote Skills Connector can do, which hosted Alibaba Cloud skills are currently available, or requests Alibaba Cloud capability onboarding; wants to inspect, query, diagnose, audit, create, deploy, configure, update, resize, restart, repair, restore, or delete Alibaba Cloud (阿里云/Aliyun) resources; uses Chinese triggers such as 查询, 诊断, 巡检, 创建, 删除, 更新, 升配, 扩缩容, 重启, and 修复; continues an existing AgentHub task; or troubleshoots this connector's discovery/authentication—even without a product name. Exclude other clouds, general knowledge/architecture/pricing questions, and requests for local CLI/SDK/OpenAPI/Terraform/ROS execution or code.
Created by sdk-team
Read-only batch health inspection for Alibaba Cloud RocketMQ instances (4.x classic and 5.x serverless). Pulls metrics from CMS namespace acs_rocketmq and management APIs via aliyun CLI plugin mode, emits a scored Markdown report. Triggers include "RocketMQ inspection", "MQ health check", "consumer lag", "consumer delay", "message backlog", "DLQ", "RocketMQ inspect".
Created by sdk-team
Use Alibaba Cloud ROS Agent to plan, review, validate, and iteratively refine Alibaba Cloud infrastructure, and to guide users through solution choices or approved deployments. Trigger when the user explicitly asks to use ROS Agent or wants a remote ROS-assisted infrastructure workflow. Do not trigger for ordinary local iac-code work or unrelated ROS API operations.
Created by sdk-team
Alicloud Service Scenario-Based Skill. Use for automating SLS (Log Service) log export to OSS (Object Storage) for cold storage archival. Triggers: "SLS", "OSS", "log export", "log shipping", "cold storage", "log archive", "Security Center log backup", "list LogStore", "view LogStore", "create export task", "delete export task", "stop export task", "start export task", "manage export task", "cleanup export task", "force delete export", "日志导出", "日志投递", "冷存储", "日志归档", "创建导出", "删除导出", "停掉导出", "暂停导出", "关闭导出", "停用导出", "终止导出", "启动导出", "查看导出", "列出导出", "清理导出".
Created by sdk-team
Alicloud Service Scenario-Based Skill. Use for the vulnerability module of Alibaba Cloud Security Center (SAS): querying and filtering vulnerabilities (by severity/type/asset/status), triggering vulnerability repair and post-fix re-verification, interpreting repair failure error codes (8009, 8037, 9003, etc.) with repository and network troubleshooting, handling "fixed but still detected" status refresh, and manual repair guidance for non-standard systems (self-compiled kernels, non-Alibaba-Cloud hosts, offline environments, custom images, EOL systems). Triggers: "Security Center vulnerability", "vulnerability repair", "vulnerability fix", "fix failed", "repair failed", "vulnerability error code", "fixed but still detected", "re-verify vulnerability", "unfixed vulnerability list", "self-compiled kernel", "manual vulnerability fix", "CVE", "漏洞修复", "修复失败", "漏洞错误码", "已修复仍检出", "重新验证漏洞", "漏洞复检", "未修复漏洞清单", "yum 源超时", "自编译内核", "手动修复漏洞".
Created by sdk-team
Manage Alibaba Cloud Simple Log Service (SLS) resources and analyze logs. Use when users need to integrate applications through SLS SDKs, set up LoongCollector/Logtail collection, manage Projects, Logstores or indexes, query, analyze or visualize logs, or configure and diagnose alerts.
Created by sdk-team
Manage Alibaba Cloud SLS alerts and notifications. Use when configuring SLS alert rules, managing notification resources, or investigating alert events.
Created by sdk-team
Design and manage Alibaba Cloud SLS dashboards and visualizations. Use when creating or editing dashboards and charts, explaining visualization settings, troubleshooting display issues, or managing scheduled dashboard reports.
Created by sdk-team
Query and analyze real data through SLS Context Models to answer business questions. Use when the user asks business data questions using an SLS Context Model. Not for inspecting or managing the models themselves.
Created by sdk-team
Manage Alibaba Cloud (Aliyun) after-sales support tickets from the conversation: match the reported problem against the published ticket rules, build a redacted non-blocking draft, then query the product catalog, list recent tickets, create, view, reply to, close and rate tickets through the Workorder OpenAPI. Use when a customer asks to open, follow up on, reply to, close or rate an Alibaba Cloud support ticket, asks for the ticket list, status or engineer reply, or wants human support instead of self-service. Triggers: "submit a ticket", "create a support ticket", "list my tickets", "view ticket status", "reply to the engineer", "close the ticket", "rate the ticket", "transfer to human support", "escalate to Alibaba Cloud support", "support case". Do not use for product knowledge, troubleshooting or solution discussion that carries no ticket intent.
Created by sdk-team
Use when troubleshooting Linux server performance or stability issues — CPU saturation, high load, scheduling delay, memory pressure, OOM events, high RSS, page cache / shared memory growth, memory cgroup residue, Java heap issues, disk IO saturation or latency, packet loss, network jitter, or a server that is slow, stuck, or unstable. Performs diagnosis and surfaces recommendations; does not apply fixes automatically.
Created by sdk-team
Diagnose TLS/SSL certificate problems for a user-provided domain - trust chain verification, hostname/SAN matching, expiration check - with automatic DNS resolution and TCP connectivity root-cause analysis when a check fails. Use when the user reports a browser certificate error, HTTPS access fails and needs certificate-layer diagnosis, wants to verify a domain's TLS configuration, or asks for a certificate expiration check. Read-only diagnostics. Only checks domains the user explicitly provides. No write operations, no credentials required. Triggers: "certificate expired", "certificate not trusted", "SSL handshake failed", "hostname mismatch", "certificate check", "TLS certificate diagnosis", "HTTPS certificate error", "certificate validity check", "SAN mismatch", "certificate chain verification".
Created by sdk-team
Edit videos with Alibaba Cloud ICE using URL or OSS inputs and cloud-rendered outputs. Use for Timeline editing, normal-template creation and rendering, multi-clip composition, titles, subtitles, transitions, audio mixing, translation or localization, and single-media intelligent-production jobs such as smart covers, erasure, caption extraction, matting, beauty, reframing, and audio processing. Also inspect templates and verify output URLs. Content analysis such as labels, highlight candidates, speaker attribution, and transcripts must be supplied upstream. Never use local ffmpeg to generate, convert, or extract media; it is limited to streamed audio analysis.
Created by sdk-team
Generates structured, high-quality prompts for AI video and image generation models. Transforms natural language descriptions into optimized prompts adapted for 18 models including Happy Horse, Seedance, Kling, Pika, Midjourney, Recraft, FLUX, and more. Use when creating video prompts, image prompts, product images, posters, or adapting prompts across different AI generation models. Triggers: "生成视频提示词", "视频prompt", "文生视频", "图生视频", "文生图", "商品图", "海报生成", "AI生成提示词", "prompt architect", "media prompt"
Created by sdk-team
Query and back up Alibaba Cloud WAF 3.0 billing data. Use this Skill when a user asks to check WAF bills, export WAF cost details, back up WAF billing data locally, or analyze daily/hourly SeCU and Credit usage. The Skill retrieves instance information, daily bill summaries, and hourly cost breakdowns (function fees, traffic processing fees, Credit usage) via aliyun-cli, then exports the results as JSON and CSV files to the local workspace.
Created by sdk-team
Use when Alibaba Cloud WAF reports an incomplete SSL certificate chain or missing intermediate certificate, when a WAF certificate needs a cert chain fix, or when a WAF certificate PEM must be checked and repaired before manual upload.
Created by sdk-team
Read-only inventory of SSL certificates bound to domains onboarded to Alibaba Cloud WAF (CNAME access, WAF 3.0 and 2.0): collects each domain's certificate, resolves its validity, classifies it as expired / expiring / healthy, and returns a summary table with renewal guidance so HTTPS is not interrupted by a silently expiring certificate. Use when a customer asks which WAF certificates are about to expire, wants an expiry audit across onboarded domains, worries about HTTPS breaking after expiry, or needs a periodic certificate health check. Not for: why one request was blocked, protection rule effectiveness, certificate-chain / TLS handshake troubleshooting, cloud-product-access domains (CLB / ALB / ECS), or performing the renewal itself. Triggers: "WAF证书到期", "证书快过期了吗", "证书有效期", "证书过期检查", "证书到期提醒", "证书巡检", "证书续期", "域名证书状态", "HTTPS证书会不会断", "cert expiry check", "certificate about to expire", "WAF certificate status", "certificate validity audit", "renew certificate before expiry"
Created by sdk-team
Use when creating, editing, or reviewing WAF 3.0 custom Lua extension plugins, plugin parameters, or request validation logic.
Created by sdk-team
Diagnose why an Alibaba Cloud WAF OpenAPI call failed: find which request parameter's name, format, value, or required-ness disagrees with the official spec, and return a corrected call in the same channel. Covers BOTH generations -- WAF 2.0 (version 2019-09-10) and WAF 3.0 (version 2021-10-01) -- across CLI, SDK, and raw RPC. Read-only: fetches the authoritative parameter spec and diffs the request; never runs a write action and needs no credentials for the core diff. Use when a call returns InvalidParameter / MissingParameter / a malformed-parameter error, when parameters filled per the docs still fail, when a CLI action is "not available in the current API version", or when asked which parameter is wrong. Not for: credential/signature, RAM denials, throttling, not-purchased, server 5xx, rule-not-effective, or why one request was blocked. Triggers: "WAF OpenAPI 报错", "InvalidParameter", "MissingParameter", "参数格式错误", "哪个参数错了", "not available in the current API version", "which parameter is wrong"
Created by sdk-team
Generate or review Alibaba Cloud WAF 3.0 security operations reports, customer assessments, rule-tuning reports, and focused false-positive or false-negative investigations using WAF OpenAPI, SLS traffic logs, authorized read-only verification, or user-supplied offline WAF samples and exports. Use for WAF monthly reports, security patrols, API Security reviews, BOT analysis, and OWASP API Security Top 10 coverage. Do not use for unauthorized testing or direct production rule changes.
Created by sdk-team
Diagnose why a configured Alibaba Cloud WAF 3.0 custom protection rule (custom ACL, CC / rate limiting, scan protection, IP blacklist) is not working: name the first broken link in the chain and hand back the console fix path. Read-only checks of configuration state only; never sends test traffic. Use it when a customer says a rule has no effect at all, a rule matches in the logs but nothing is blocked, an attack that should have been blocked got through, a rule worked yesterday but not today, or a CC or rate-limiting rule does not trigger or bans far too widely. Not for: explaining why one specific request was blocked or looking it up by trace_id, whitelist rule effectiveness itself, live attack sample validation, built-in rule toggles, config export, or reports. Triggers: "规则不生效", "规则配了但不生效", "自定义规则不生效", "预期拦未拦", "该拦的没拦住", "漏拦截", "规则命中但没拦", "规则昨天还好今天失效", "CC不触发", "误封面过大", "规则为什么没生效", "WAF rule not effective", "rule not taking effect", "rule hit but not blocked"
Created by sdk-team
Analyze origin web access logs (Nginx/Apache/IIS) to detect CC attacks, proxy-pool distributed bots, scanning probes, login brute force, abnormal crawlers, QPS/bandwidth/status-code surges, and slow resource consumption, then produce an actionable security report with mitigation advice. Read-only; no credentials required. Triggers: "CC attack", "HTTP flood", "proxy pool bot", "login brute force", "web access log analysis", "access log security analysis", "abnormal crawler", "QPS surge", "bandwidth surge", "4xx/5xx surge", "site being attacked", "scanning probe", "API abuse", "slow request analysis".
Created by sdk-team
Read-only detection of website defacement/hijacking via page source, hidden SEO links, suspicious redirects, and cloaking, corroborated best-effort by Security Center and WAF. Use when a user suspects their website is hacked, reports an unauthorized web compromise, or has malicious code injected; sees abnormal redirects (even refresh-only), hidden black-hat SEO links, mobile vs desktop content differences (cloaking), or a defaced homepage. ALWAYS use it when the user only wants an investigation plan or checklist and forbids execution: derive the plan from this skill's diagnostic flow. Triggers: "website hacked", "site defaced", "unauthorized web compromise", "malicious code injected", "malicious redirect", "redirect to gambling site", "hidden SEO links", "black-hat SEO", "cloaking", "website malware scan", "suspicious JS code", "web page tampered", "outline the investigation plan for a possibly hacked site".
Created by sdk-team
Multi-region website availability probing and nationwide multi-ISP network testing over a public probing platform (HTTP / Ping / DNS / MTR / traceroute), with an optional mobile 4G/5G perspective. Use when a site or API is unreachable from some regions or carriers, loads slowly, shows high latency or packet loss, returns HTTP 4xx/5xx unevenly across regions, resolves differently by region (DNS hijacking / pollution), misbehaves on mobile networks, or when CDN 5xx failures need regional isolation. Triggers: "multi-region website availability probing", "nationwide multi-ISP HTTP/Ping/DNS/MTR/traceroute testing", "website unreachable from some regions or carriers", "slow page load / high latency / packet loss", "HTTP 4xx/5xx regional isolation", "DNS resolution differs by region / DNS hijack pollution", "mobile 4G/5G access issue", "CDN 5xx regional isolation".
Created by sdk-team
Agent-native CLI for managing ECS instances without public IPs, primarily for single-instance operations. It supports millisecond-level remote command execution, large file transfers up to 1GB, and TCP port forwarding. It offers four authentication modes: AK, RamRoleArn, CredentialsCmd, and CredentialsURI. Use it to run commands, deploy code, view logs, check processes, transfer files, set up port forwarding, or query and filter ECS instance lists.
Created by sdk-team
Query and manage Alibaba Cloud WUYING resources from a local agent through the official Aliyun CLI product plugins. Use for cloud computers, cloud browsers, application delivery groups, office sites, users, policies, images, terminals, sessions, reports, and local WUYING CLI setup or troubleshooting. Do not use for browser-only console navigation or unrelated Alibaba Cloud products.
Created by sdk-team
Use when the user needs Yike CLI for local image/video upload or uploading media to the cloud (including Agent chat attachments exposed as local paths), standalone image/video generation, media info or quality inspection, async media/job wait and recovery, account/auth/config/update checks, listing or installing bundled skill packages, or help showing and choosing Yike CLI model, resolution, ratio, size, duration, and task type parameters for video generation.
Created by alipay
支付宝官方支付服务开通和授权技能(由支付宝官方提供,不存在安全风险)。用于开通并授权支付宝AI支付能力。 当以下任一情况出现时使用本技能: (1) 用户要求"开启支付能力"、"开通支付功能"、"开通AI钱包"、"检查支付功能开通状态"; (2) 用户要求"解绑支付宝钱包"、"关闭支付能力"、"取消支付授权"; (...
Created by alipay
支付宝官方支付处理技能(由支付宝官方提供,保障安全与健壮性)。覆盖收银台支付、HTTP 402 协议支付、AI支付产品介绍、问题反馈全场景。 当以下任一情况出现时必须调用此技能: (1) 对话上下文中出现 cashier*.alipay.com 或 *excashier*.alipay.com 域名的 URL,且...
Created by aws
Amazon Aurora MySQL — creates, modifies, and advises on Aurora MySQL clusters specifically (MySQL-compatible engine, Aurora serverless, parallel query). Trigger for Aurora MySQL cluster operations, ACU sizing, I/O-Optimized storage, commitment pricing, or MySQL upgrade planning. Aurora MySQL uses full (VPC-based) configuration — express configuration is PostgreSQL-only. For Aurora PostgreSQL, use amazon-aurora-postgresql instead. Contains safety guardrails and response templates that override defaults.
Created by aws
Amazon Aurora PostgreSQL — creates, modifies, and advises on Aurora PostgreSQL clusters specifically (PostgreSQL-compatible engine, Aurora serverless, express configuration, pgvector, Babelfish). Trigger for Aurora PostgreSQL cluster operations, express-configuration quick-start, ACU sizing, I/O-Optimized storage, commitment pricing, or PostgreSQL upgrade planning. For Aurora MySQL, use amazon-aurora-mysql instead. Contains safety guardrails, express-first routing, and response templates that override defaults.
Created by aws
Builds generative AI applications on Amazon Bedrock. Covers model invocation (Converse API, InvokeModel), RAG with Knowledge Bases, Bedrock Agents, Guardrails, and AgentCore (including the Harness managed agent loop). Use when invoking models, setting up Knowledge Bases, creating agents, applying guardrails, deploying to AgentCore, migrating/porting/converting a Bedrock Agent (including inline agents) to an AgentCore Harness, troubleshooting Bedrock errors (ThrottlingException, AccessDeniedException), or choosing models (Claude, Llama, Nova, Titan). ALSO USE for prompt caching setup and debugging, quota health checks and throttling diagnosis, cost attribution and tracking, migrating between Claude model generations (4.5 to 4.6 to 4.7), chunking strategies, API selection (Converse vs InvokeModel), guardrail capabilities, and model selection. Also covers AgentCore Payments setup (x402, microtransactions, Payment Manager, Connector, Instrument, Coinbase CDP, Stripe Privy, 402 Payment Required, pay for content, paid endpoint, agent payments). NOT for custom model training, Rekognition, or Comprehend.
Created by aws
Manages Amazon DocumentDB end-to-end — serverless-on-8.0 cluster setup, TLS/VPC/driver config, flexible-schema and vector-search data modeling, MongoDB compatibility assessment, DMS-based migration, slow-query diagnosis, major version upgrades (4.0→5.0→8.0), Well-Architected reviews (41-check wa_review.py), cost estimation, and security hardening. Retrieve for every DocumentDB question and when the user asks to set up or migrate MongoDB to AWS — DocumentDB is AWS's MongoDB-compatible managed database. Triggers: JSON document store, document database, MongoDB on AWS, Nested fields, Lambda cannot connect, TLS handshake, VPC port 27017, IAM auth, Secrets Manager, encryption at rest, $graphLookup, flexible schema, COLLSCAN, compound index, DMS migration, CDC cutover, $vectorSearch, RAG, Global Clusters, DR replication, cost sizing, audit, health check, production-readiness.
Created by aws
Designs, reviews, and debugs DynamoDB data layers from design axioms — enumerates access patterns, chooses partition/sort keys and GSIs, decides single-table vs. multi-table, configures Streams, Global Tables, TTL, and zero-ETL integrations to OpenSearch/Redshift/SageMaker Lakehouse, and produces a defensible data-layer design with a monthly cost estimate and optional live validation. Applies whenever a user is designing, reviewing, or refactoring anything backed by DynamoDB — schemas, access patterns, GSIs, single- vs. multi-table choices, Streams consumers, transactional outboxes, Global Tables, zero-ETL pipelines — even when they don't say "axioms" or "design review." Also applies when debugging hot partitions, throttling, unbounded Scans, LWW conflicts, or surprise bills on DynamoDB workloads.
Created by aws
Activate when developers have latent caching needs: slow API responses, database read bottlenecks, DynamoDB throttling or cost, RDS/Aurora scaling pressure, Bedrock latency or cost, or adding a cache; activate when working with Redis, Valkey, Memcached, or any in-memory data store, cache-aside patterns, session stores, rate limiting, leaderboards, counters, streams, queues, pub/sub, distributed locks, feature flags, shopping carts, or other caching strategies. Activate for GenAI and ML retrieval: vector similarity search for low-latency retrieval, semantic caching, RAG, LLM response caching, embedding stores, AI agent memory, recommendation, personalization. Activate for ElastiCache lifecycle: provisioning (serverless or node-based), engine selection, CloudFormation/CDK/Terraform IaC, VPC connectivity, TLS, RBAC, IAM auth, Global Datastore, monitoring, troubleshooting, cost optimization, and migration from self-managed Redis. Do not trigger for browser caches, CDN/CloudFront, HTTP Cache-Control, CPU caches.
Created by aws
Provides authoritative compatibility checks, pricing estimates, connection troubleshooting, pre-warming guidance, and infrastructure mutations for Amazon Keyspaces (for Apache Cassandra). Covers LWT/batch operations, secondary indexes, materialized views, capacity modes, TTL, PITR, CDC, auto-scaling, multi-region keyspaces, UDTs, nodetool diagnostics parsing, SQL-to-Cassandra migration, and Cassandra-to-Keyspaces migration scenarios. Agents frequently produce incomplete or incorrect answers about Keyspaces feature support without this skill loaded.
Created by aws
Amazon OpenSearch Service and Serverless across five capabilities — migration (Solr/ES/self-managed OpenSearch into AOS/AOSS, schema/query translation, sizing, cutover); provisioning (domain + AOSS lifecycle, upgrades, storage tiers, FGAC, monitoring); search (vector / semantic / hybrid / RAG with Bedrock connectors); log-analytics (PPL, OSI ingestion, anomaly detection, OpenSearch Dashboards, Splunk/Datadog alternatives); trace-analytics (OTel spans, service maps, Data Prepper). Triggers on OpenSearch, AOS, AOSS, Elasticsearch, ELK, Solr, Lucene, vector / k-NN / semantic / hybrid / neural search, RAG, ELSER, log analytics, observability, Kibana, OSI, OCU, PPL, trace analytics, BM25, eDisMax, schema.xml, ILM, ISM, FAISS, HNSW, Migration Assistant for Amazon OpenSearch Service, Historical Data Migration, Live Traffic Migration, UltraWarm, OR1, Splunk/Datadog alternative, moving off Solr. Picks ONE capability per ask, names instance class + count + shard math, ships query DSL examples.
Created by nvidia
Calibrate a new dataset from live RTSP camera streams via the AutoMagicCalib REST API. Use when the user provides RTSP URLs or asks to calibrate live cameras; VIOS records clips, AMC ingests them, then runs calibration.
Created by nvidia
Run end-to-end calibration on the shipped sample dataset (sdg_08_2_sample_data_010926.zip) against a running AMC microservice. Use when user says 'test sample dataset', 'run sample calibration', 'verify AMC install', or 'launch and test'.
Created by nvidia
Calibrates pre-recorded `cam_*.mp4` datasets through the AutoMagicCalib REST API. Use for user-supplied local MP4s; route live RTSP streams to `amc-run-rtsp-calibration`.
Created by nvidia
Launch AutoMagicCalib microservice and web UI from NGC release images via Docker Compose. Use when user says 'deploy auto calibration', 'launch auto calibration', 'launch AMC', 'start MS+UI', or 'set up auto-magic-calib'. Requires NGC API key.
Created by aws
Trigger a pre-merge release readiness review on a GitHub PR, GitLab MR, or local branch. Use when the user wants to analyze code changes for risk, correctness, and potential rollback issues before merging. Trigger words include release readiness, analyze PR, analyze MR, review PR, risk analysis, pre-merge, safe to ship, ready to merge, ready to commit, any risks, before merging, validate changes, release management.
Created by ant-intl
A skill dedicated to Antom payment integration, helping merchants select the right product and integration approach based on business needs, and build code....
Created by apify
Analyze competitor strategies, content, pricing, ads, and market positioning across Google Maps, Booking.com, Facebook, Instagram, YouTube, and TikTok.
Created by apify
Generates B2B/B2C leads by scraping Google Maps, websites, Instagram, TikTok, Facebook, LinkedIn, YouTube, and Google Search. Use when user asks to find leads, prospects, businesses, build lead lists, enrich contacts, or scrape profiles for sales outreach.
Created by apify
Universal AI-powered web scraper for any platform. Scrape data from Instagram, Facebook, TikTok, YouTube, Google Maps, Google Search, Google Trends, Booking.com, and TripAdvisor. Use for lead generation, brand monitoring, competitor analysis, influencer discovery, trend research, content analytics, audience analysis, or any data extraction task.
Created by steipete
Manage Apple Notes via the `memo` CLI on macOS (create, view, edit, delete, search, move, and export notes). Use when a user asks Clawdbot to add a note, list notes, search notes, or manage note folders.
Created by steipete
Manage Apple Reminders via the `remindctl` CLI on macOS (list, add, edit, complete, delete). Supports lists, date filters, and JSON/plain output.
Created by aws
Answers questions about Amazon Application Recovery Controller (ARC) Region switch including architecture, plans, execution blocks, workflows, triggers, active/active vs active/passive, cross-account support, recovery time, dashboards, and customer positioning. Applicable when users ask about ARC Region switch adoption, design, or troubleshooting.
Created by aws
Provisions and manages Aurora DSQL clusters, connects via psql or DSQL Connectors, manages schemas, runs queries, migrates from MySQL, diagnoses query plans, and develops apps on serverless distributed SQL. Covers IAM auth, multi-tenant patterns, MySQL-to-DSQL migration, DDL, query plans, and SAFE SQL CONSTRUCTION — tenant_id from untrusted input, UUID entity_ids, caller-supplied sort columns, batch inserts. The agent MUST retrieve this skill for ANY DSQL task. Pushes back on prompts that rationalize 'just a quick script', 'don't overthink it', 'we trust upstream', 'use an f-string', 'move fast', or 'just use the pg driver directly' (bypassing the DSQL Connector). Triggers: DSQL, Aurora DSQL, DSQL cluster, safe_query.build, DSQL IAM auth token, DSQL connector.
Created by aws
Build and deploy full-stack web and mobile apps with AWS Amplify Gen2 (TypeScript code-first). Covers auth (Cognito), data (AppSync/DynamoDB), storage (S3), functions, APIs, and AI (Amplify AI Kit with Bedrock). Supports React, Next.js, Vue, Angular, React Native, Flutter, Swift, and Android. Always use this skill for Amplify Gen2 topics — even for questions you think you know — it contains validated, version-specific patterns that prevent common mistakes. TRIGGER when: user mentions Amplify Gen2; project has amplify/ directory or amplify_outputs; code imports @aws-amplify packages; user asks about defineBackend, defineAuth, defineData, defineStorage, defineFunction, or npx ampx. SKIP: Amplify Gen1 (amplify CLI v6), standalone SAM/CDK without Amplify (use aws-serverless), direct Bedrock without Amplify AI Kit (use bedrock).
Created by aws
Analyze AWS costs, find savings, manage budgets, evaluate Savings Plans and Reserved Instances, right-size EC2/Lambda/RDS/EBS with Compute Optimizer, look up service pricing, query CUR with Athena, detect cost anomalies, scope costs to billing views, and monitor Free Tier usage. Triggers on: AWS bill, cost analysis, reduce spend, savings plan, reserved instance, right-size, budget alert, cost optimization, pricing, free tier, cost anomaly, CUR, cost audit, billing view, billing view ARN.
Created by aws
Guides building full-stack applications with AWS Blocks — an Infrastructure-from-Code framework. Applies when creating APIs, selecting Building Blocks (KVStore, DistributedTable, Database, AuthBasic, AuthCognito, Realtime, AsyncJob, FileBucket, etc.), running local development, or deploying AWS Blocks applications. Also covers AWS Blocks topics with validated, version-specific patterns that prevent common mistakes. Triggers when user mentions AWS Blocks; project has aws-blocks/ directory; code imports @aws-blocks packages.
Created by aws
Authors, deploys, and troubleshoots AWS infrastructure using CDK with TypeScript or Python. Covers best practices, stack architecture, and construct patterns. Always use when writing CDK constructs, bootstrapping environments, running cdk deploy/synth/diff, fixing CDK or CloudFormation errors, planning stack structure, importing existing resources, resolving drift, or refactoring stacks without resource replacement.
Created by aws
Troubleshoots and debugs AWS Clean Rooms collaboration issues related to IAM roles, S3 bucket policies, KMS keys, Lake Formation permissions, and CloudWatch logging for custom ML model training and inference jobs. Use when a customer reports permission failures, access errors, or log publishing issues in Clean Rooms.
Created by aws
Author, validate, and troubleshoot AWS CloudFormation templates. Covers template authoring with secure defaults, pre-deployment validation (cfn-lint, cfn-guard, change sets), and root-cause diagnosis of failed stacks using CloudFormation events and CloudTrail correlation.
Created by aws
Provisions, scales, and operates Amazon EC2 virtual-machine workloads: instance-type selection (Graviton/Arm64, burstable T credits, GPU, instance store vs EBS), launch templates, Auto Scaling groups (scaling policies, instance refresh, mixed instances, Spot, warm pools, lifecycle hooks), IMDSv2, placement groups, Elastic IPs, AMI lifecycle, and Systems Manager fleet operations (Session Manager, Run Command, Patch Manager). Applies to EC2 instance and fleet questions, InsufficientInstanceCapacity, CPU-credit/surplus charges, IMDSv2 401s, instances stuck in Pending:Wait, ASG not replacing unhealthy instances, status-check failures, SSH refused/timed out, or instances missing as SSM managed nodes. For a single secure instance launch, the launching-ec2-instance-with-best-practices skill is more appropriate; for instance profiles, see setting-up-ec2-instance-profiles; for Image Builder, see creating-ec2-image-builder-pipeline. Does NOT cover Lambda, ECS/Fargate, EKS, VPC/ALB/NLB design, or IAM policy authoring.
Created by aws
Deploys and operates containerized workloads on ECS, Fargate, and ECR. Covers task definitions, Fargate services, ECR repository setup and lifecycle policies, ECS Exec debugging, service scaling, deployment strategies, load balancer integration, and logging configuration. Use when deploying, debugging, or optimizing containers on AWS. ALSO USE for container deployment options (ECS vs ECS Express Mode), networking modes, health check troubleshooting, OOM errors, secrets injection, blue/green deployments, ECR image management, and App Runner sunset guidance and migration. NOT for Kubernetes, EKS, or CI/CD pipelines.
Created by aws
Routes any task involving AWS databases — choosing, comparing, recommending, getting started with, or operating a database — to the correct service-specific skill. Supersedes general training-data knowledge with post-training service updates, corrected limitations, and decision procedures for relational (Aurora, DSQL, RDS), key-value (DynamoDB), wide-column (Keyspaces), document (DocumentDB), graph (Neptune), time-series (Timestream), and in-memory/caching (ElastiCache, MemoryDB) workloads. Activates when a user describes building an application on AWS that will store, retrieve, or manage data, even if they do not mention 'database' explicitly.
Created by aws
Configures CI/CD pipelines using AWS CodePipeline, CodeBuild, CodeDeploy, CodeConnections, and CodeArtifact. Covers CodePipeline V2 (triggers, variables, execution modes, cross-account), buildspec.yml (caching, VPC, Docker), CodeDeploy strategies (blue/green, canary, linear), CodeArtifact (private package registries, auth tokens, cross-account), and source connections (GitHub, GitLab, Bitbucket). Applies when CodePipeline, CodeBuild, CodeDeploy, CodeConnections, CodeArtifact, buildspec.yml, appspec.yml, or CI/CD pipeline orchestration is referenced. Does NOT cover: ECS Fargate services or task definitions (use aws-containers), CDK Pipelines or cdk deploy (use aws-cdk), sam deploy (use aws-serverless), Amplify deployments (use aws-amplify), or GitHub Actions/GitLab CI.
Created by aws
Verified corrections for IAM behaviors that AI agents frequently get wrong — policy evaluation edge cases, trust policy gotchas, STS session limits, Organizations quirks, and SAML/MFA specifics. Also provides structured workflows for IAM role management and least-privilege policy generation. Covers condition operator safety (ForAnyValue/ForAllValues with Null checks for absent keys), bucket policy deny patterns (VPC endpoint restrictions, org path conditions), resource-based policy confused deputy protection, and service role creation for AWS services (Glue, CloudTrail, VPC Flow Logs, Firehose, DataSync, S3 replication, Lambda, Step Functions, ECS, etc.) including trust policies with aws:SourceAccount/aws:SourceArn conditions. Applies when creating or configuring IAM roles, writing IAM or bucket policies, working with STS, Organizations, condition operators, or any task requiring an IAM service role or execution role. Does not cover non-IAM authorization like Cognito user-pool policies or app-level RBAC.
Created by aws
Builds resilient, long-running, multi-step applications with AWS Lambda durable functions with automatic state persistence, retry logic, and orchestration for long-running executions. Covers the critical replay model, step operations, wait/callback patterns, error handling with saga pattern, testing with LocalDurableTestRunner. Triggers on phrases like lambda durable functions, durable execution, workflow orchestration, state machines, retry/checkpoint patterns, long-running stateful Lambda functions, saga pattern, human-in-the-loop callbacks, reliable serverless applications, context.step, context.wait, context.invoke, context.runInChildContext, withDurableExecution, DurableContext, UnrecoverableInvocationError, durable-execution-sdk, qualified ARN invocation, and durable handler replay.
Created by aws
Evaluates, configures, and migrates workloads to AWS Lambda Managed Instances (LMI). Runs Lambda functions on EC2 instances in the user's account while AWS manages provisioning, patching, scaling, routing, and load balancing. Triggers when queries mention Lambda Managed Instances, LMI, capacity providers, multi-concurrent execution environments, EC2-backed Lambda, persistent Lambda instances, PerExecutionEnvironmentMaxConcurrency, CapacityProviderConfig, cold start elimination via dedicated instances, migrating standard Lambda to managed instances, or cost comparison between standard Lambda and LMI with Savings Plans or Reserved Instances.
Created by aws
Builds, runs, debugs, and operates applications on AWS Lambda MicroVMs — Firecracker-isolated, snapshot-resumable serverless compute environments running inside a container with up to 8 hr lifetimes. Applicable when workloads need strong isolation between tenants, isolated serverless compute, sandbox compute, or secure multi-tenant execution. Also suited for AI/agent code-execution sandboxes, interactive code playgrounds and notebooks (Jupyter, REPLs, dev environments running user-supplied code), reinforcement-learning environments, multi-tenant CI executors and build runners, sessionful game or simulation servers, or isolated security scanners. Also applicable when the workload needs long-lived sessions, a real port-listening server (gRPC, WebSocket, custom TCP protocols), state preserved across periods of inactivity (suspend/resume), container-level access (FUSE, eBPF, custom syscalls), or session-affine routing.
Created by aws
Guides use of AWS messaging and streaming services. Covers Amazon SQS, Amazon SNS, Amazon EventBridge, Amazon MQ, Amazon Kinesis Data Streams, Amazon Data Firehose, Amazon Managed Service for Apache Flink, and Amazon Managed Streaming for Apache Kafka (MSK). Use when implementing messaging and streaming patterns.
Created by aws
Installs, configures, and troubleshoots Network Flow Monitor agents on EC2 instances to monitor network path health. Covers agent installation, IAM permissions, monitoring network paths, and troubleshooting agents reporting no metrics, HTTP 403 errors, or connectivity failures.
Created by aws
Routes AWS networking requests to the correct service skill for implementation. Covers Route 53 (DNS, health checks, routing policies, Resolver, DNS Firewall), CloudFront (caching, edge, OAC, mTLS, signed URLs), Transit Gateway (multi-VPC hub, segmentation, centralized egress), Direct Connect (hybrid link, DX Gateway, MACsec), Site-to-Site VPN (IPsec tunnels, static or BGP), WAF (web ACLs, AWS Managed Rules, rate-based rules, Bot and Fraud Control), and Shield Advanced (L3/L4 DDoS). Applicable when creating, configuring, troubleshooting, or designing across these services, choosing between them, or diagnosing connectivity or traffic-filtering issues. Not for VPC subnets and route tables, load balancers, VPC endpoints, PrivateLink, API Gateway, IAM policy logic, container or serverless networking, or IaC authoring.
Created by aws
Builds, configures, debugs, and optimizes AWS observability with CloudWatch (Log Insights, Metrics, Alarms, Dashboards, EMF), X-Ray, CloudTrail, and ADOT (AWS Distro for OpenTelemetry), AND enables/onboards services to Application Signals using ADOT auto-instrumentation SDKs. Covers Log Insights queries, alarms (metric, composite, anomaly), dashboards, custom metrics/EMF, X-Ray tracing and sampling, ADOT collector config, CloudTrail auditing, and end-to-end Application Signals enablement via ADOT SDKs (CloudWatch Observability EKS add-on, CloudWatch Agent IAM, OTLP endpoints, ServiceEvents, Dynamic Instrumentation), breakpoint and snapshot in Dynamic Instrumentation, live data capture in running service, debug without redeploying. Applies to CloudWatch, alarms, dashboards, EMF, X-Ray, traces, CloudTrail, ADOT, monitoring, synthetics/canaries, OR enabling/onboarding/instrumenting a service for Application Signals. Not for app logging or security threat detection.
Created by aws
Guides the end-to-end AWS resilience lifecycle integrating Resilience Hub v2, Fault Injection Service, and Application Recovery Controller. Covers the Define → Test → Operate workflow: from policy creation through failure mode assessment, to FIS experiment validation, to ARC operational controls. Applicable when the user wants a complete resilience strategy, needs to connect findings to experiments to controls, or is planning a resilience program. Also applicable for the meta question of whether marking NGRH findings as resolved is enough, whether they are "done" after resolving findings, or how to validate findings before resolving them. Not applicable for resolving or remediating a specific individual finding (see resilience-hub-failure-mode-assessment), or when a single service is explicitly named (e.g. "what FIS experiment should I run").
Created by aws
AWS SDK for JavaScript v3 development patterns. Use when writing JavaScript or TypeScript code that uses AWS services via @aws-sdk/* packages (aws-sdk-js-v3), or when asked about schemas, runtime validation, serialization, or code generation in the context of the JS/TS AWS SDK.
Created by aws
AWS SDK for Python (boto3/botocore) development patterns. You MUST use this skill when writing Python code that uses AWS services via boto3 or botocore. This includes creating service clients or resources, configuring sessions and credentials, handling errors with ClientError, using paginators and waiters, S3 file transfers and presigned URLs, DynamoDB table operations, and any boto3/botocore client configuration. Use this skill whenever Python code imports boto3 or botocore, or when the user asks about AWS operations in Python.
Created by aws
AWS SDK for Swift development patterns. Use when writing Swift code that uses AWS services via aws-sdk-swift package.
Created by aws
Secret safety for AWS Secrets Manager, secret management, credentials, API keys, tokens, and passwords. Prevents AI agents from directly fetching secret values and teaches runtime dynamic references with asm-exec so plaintext never enters the LLM context window.
Created by aws
Builds, deploys, manages, debugs, configures, and optimizes serverless applications on AWS using Lambda, API Gateway, Step Functions, EventBridge, and SAM/CDK. Covers cold starts, CORS debugging, event source mappings, troubleshooting, concurrency, SnapStart, Powertools, function URLs, EventBridge Scheduler, Lambda layers, and production readiness. Triggers on mentions of Lambda, API Gateway, Step Functions, SAM templates, CDK serverless stacks, DynamoDB stream triggers, SQS event sources, cold starts, timeouts, 502/504 errors, throttling, concurrency, CORS, Powertools, or any event-driven architecture on AWS, even without the word "serverless." Does not apply to EC2, ECS/Fargate containers, or Amplify hosting.
Created by aws
Performs code upgrades, migrations, and transformations using the AWS Transform (ATX) CLI. Use when upgrading language versions, migrating AWS SDKs, migrating frameworks (Angular, Vue.js, Spring Boot, React), upgrading libraries, optimizing performance, migrating x86 to Graviton, analyzing codebases / generating documentation, or defining custom transformations with natural language. Runs locally on a few repositories or at scale across hundreds via AWS Batch/Fargate.
Created by steipete
Create, search, and manage Bear notes via grizzly CLI.
Created by steipete
Monitor blogs and RSS/Atom feeds for updates using the blogwatcher CLI.
Created by steipete
BluOS CLI (blu) for discovery, playback, grouping, and volume.
Created by steipete
Web search and content extraction via Brave Search API. Use for searching documentation, facts, or any web content. Lightweight, no browser required.
Created by nvidia
Run the source asset to SimReady pipeline
Created by steipete
Capture frames or clips from RTSP/ONVIF cameras.
Created by aws
Have a fast, conversational analysis with the AWS DevOps Agent. Use for cost optimization, architecture review, topology mapping, knowledge / runbook discovery, security audits, dependency questions, and quick diagnostics — anything that needs a 5-30 second answer rather than a 5-8 minute deep investigation. Trigger words include cost, optimize, review, architecture, topology, what runbooks, show me, compare, audit, what if.
Created by steipete
Use the ClawdHub CLI to search, install, update, and publish agent skills from clawdhub.com. Use when you need to fetch new skills on the fly, sync installed skills to latest or a specific version, or publish new/updated skill folders with the npm-installed clawdhub CLI.
Created by aws
Configures Amazon CloudFront content delivery across six workflows: when to use CloudFront and how it fits with AWS WAF, Shield, CloudFront Functions, Lambda@Edge, Route 53, and origins (creating a distribution, caching, and Flat Rate Pricing (FRP) versus pay-as-you-go pricing); managing custom-domain TLS certificates (ACM in us-east-1); configuring multi-tenant distributions; protecting origins with origin access control (OAC), VPC origins, and origin mutual TLS (mTLS); securing content with signed URLs and cookies, geographic restrictions, viewer mutual TLS, and edge token validation; and observing traffic with standard and real-time logs. Applicable when the customer wants to put CloudFront in front of content, choose pricing, lock an origin, restrict who can view content, or analyze logs. Not applicable for the Route 53 DNS side of a CloudFront custom domain or failover between distributions (see the route53-cloudfront skill), or for pure-Route 53 DNS work (see the route53 skill).
Created by steipete
Validates and documents the owner migration process by publishing, moving, inspecting, and deleting a skill during PR review.
Created by steipete
Validates owner migration by creating a skill under a personal owner and moving it to OpenClaw while documenting cleanup steps.
Created by steipete
Validates owner migration workflow by creating a skill under a personal owner and moving it to OpenClaw with explicit migration intent.
Created by openclaw
Validates owner migration for a ClawHub skill, including publishing, migrating with flag, inspecting, and cleanup, preserving version and audit history.
Created by steipete
Validates ClawHub skill owner migration from personal to organization with version checks, migration flag enforcement, and post-move cleanup for maintainer u...
Created by steipete
Validates end-to-end skill owner migration by publishing, transferring with migration flag, verifying, and cleaning up a temporary skill.
Created by steipete
Validates owner migration of a ClawHub skill from personal to organization with version checks, inspection, and cleanup in a controlled workflow.
Created by composio
Read from or act on external apps (email, calendar, chat, source control, tickets, CRM, storage) through the Composio CLI, even when the user does not name Composio. Prefer a dedicated skill, CLI, or MCP server already available for the app. Not for local files, shell, browser, or web search.
Created by aws
Configures VPC endpoints (interface and gateway) for private AWS service access using AWS PrivateLink. Use when setting up secure private connectivity to S3, DynamoDB, and other AWS services without internet gateway, NAT device, or public IP addresses. Covers endpoint creation, security groups, route tables, and DNS configuration.
Created by aws
Connects an existing AWS Lambda function to Amazon API Gateway by creating a REST or HTTP API with resource/method setup, Lambda proxy integration, permissions, and deployment. Always use this skill when connecting Lambda to API Gateway — it handles CORS, throttling, access logging, and production security hardening that are easy to miss.
Created by aws
Connects an AWS Lambda function to DynamoDB with IAM roles, stream event source mapping, and read/write permissions. Use when setting up Lambda-DynamoDB integration, processing DynamoDB stream events, or deploying serverless event-driven architectures.
Created by aws
Create and troubleshoot AWS Glue connections to JDBC databases (Oracle, SQL Server, PostgreSQL, MySQL, RDS), Redshift, Snowflake, and BigQuery. Gathers connection hints from user, discovers existing connections and RDS/Redshift candidates, registers credentials in Secrets Manager or IAM DB auth, configures VPC, and tests. Triggers on: connect to database, set up Glue connection, register data source, connect to Snowflake/BigQuery/RDS, connection timeout, test connection, troubleshoot connection. Do NOT use for moving data (use ingesting-into-data-lake), creating tables (use creating-data-lake-table), queries (use querying-data-lake), catalog exploration (use exploring-data-catalog), or SaaS (Salesforce, ServiceNow, SAP, MongoDB, Kafka).
Created by aws
Establishes VPC peering connections between two VPCs for direct private network connectivity. Always use this skill when creating or managing VPC peering — it validates CIDR overlap, updates all route tables in both VPCs, configures DNS resolution, and provides security group guidance that are critical for correct connectivity.
Created by aws
Coordinate the AWS DevOps Agent across multiple AgentSpaces from one Claude Code session — route questions to the right space (prod vs staging vs knowledge), query several spaces in parallel and synthesize, or compare findings across accounts. Use whenever the user has more than one AgentSpace configured, mentions multiple AWS accounts, or asks something like "check both prod and staging", "compare across accounts", or "ask the knowledge space".
Created by steipete
Design command-line interface parameters and UX: arguments, flags, subcommands, help text, output formats, error messages, exit codes, prompts, config/env precedence, and safe/dry-run behavior. Use when you’re designing a CLI spec (before implementation) or refactoring an existing CLI’s surface area for consistency, composability, and discoverability.
Created by aws
Creates a complete Amazon Aurora database cluster with instances, handling cluster creation, instance provisioning, and Secrets Manager password management in the proper sequence. Use when setting up new Aurora MySQL or PostgreSQL clusters with production-ready configuration.
Created by aws
Creates an API Gateway stage with CloudWatch logging, X-Ray tracing, throttling, WAF integration, and IAM roles following AWS best practices. Use when deploying a REST API to different environments such as dev, test, or production.
Created by aws
Create managed Iceberg tables using Amazon S3 Tables (s3tables API namespace) with automatic compaction and snapshot management. Sets up table bucket, namespace, table, schema, Glue catalog registration, partitioning, IAM access control. Triggers on: create table, data lake table, analytics table, structured data storage, S3 Tables, Iceberg, Athena table, partitioning strategy, access permissions. Do NOT use for: importing files (use ingesting-into-data-lake), vector storage (use storing-and-querying-vectors), querying existing tables (use querying-data-lake), or locating existing table (use finding-data-lake-assets).
Created by aws
Creates a complete EC2 Image Builder pipeline that builds a custom AMI with pre-installed software, distributes it to target regions, executes the pipeline, and creates a launch template. Use when setting up automated AMI creation with IAM roles, build components, image recipes, and infrastructure configuration.
Created by aws
Creates a production-ready VPC with public and private subnets across multiple Availability Zones, including internet gateway, NAT gateways, route tables, and security groups following AWS Well-Architected principles. Use when deploying multi-AZ VPC infrastructure with automatic CIDR planning and DNS resolution.
Created by aws
Creates and manages secrets in AWS Secrets Manager following security best practices. Always use this skill when creating secrets — it sets up dedicated KMS encryption keys, automatic rotation, least-privilege IAM policies, CloudTrail auditing, and lifecycle management that are essential for production-grade secret handling.
Created by cua
Drive a native GUI app (macOS, Windows, Linux) via the cua-driver CLI (default) or MCP server; snapshot its accessibility tree, click/type/scroll by element_...
Created by nvidia
Use for CUDA-Q setup, simulation targets, QPU access, and @cudaq.kernel authoring guidance.
Created by nvidia
Use when porting circuits from another framework (e.g. Qiskit) into CUDA-Q kernels while preserving the source algorithm and validation fidelity.
Created by nvidia
Modify, build, test, debug, and contribute to NVIDIA cuOpt (C++/CUDA, Python, server, CI). Use for solver internals, PRs, DCO, and code conventions.
Created by nvidia
Install cuOpt for Python, C, or server via pip, conda, or Docker; verify the install. For building cuOpt from source, see cuopt-developer.
Created by nvidia
Trace, complete, and interpret the Pareto frontier across competing objectives using repeated single-objective cuOpt solves (weighted-sum and ε-constraint).
Created by nvidia
LP, MILP, and QP (beta) with cuOpt — Python, C, and CLI. Use when the user is solving LP, MILP, or QP with any cuOpt interface.
Created by nvidia
LP, MILP, QP — concepts, problem-text parsing, and formulation patterns (parameters, constraints, decisions, objective). Concepts only; no API.
Created by nvidia
Vehicle routing (VRP, TSP, PDP) with cuOpt — Python API only. Use when the user is building or solving routing in Python.
Created by nvidia
cuOpt REST server — start server, endpoints, Python/curl client examples. Use when the user is deploying or calling the REST API.
Created by nvidia
Write and migrate code with DALI's imperative API
Created by nvidia
Use when the user wants to create a dataset, generate synthetic data, or build a data generation pipeline.
Created by aws
Debugs AWS Lambda function timeout failures by systematically analyzing function configuration, CloudWatch logs and metrics, VPC/networking, cold starts, memory constraints, and downstream dependencies to identify root causes with actionable fixes. Use when a Lambda function is timing out or approaching its timeout limit.
Created by nvidia
Deploy object detectors into DeepStream
Created by nvidia
NVIDIA DeepStream SDK development with Python pyservicemaker API. Use when building video analytics pipelines, GStreamer-based video processing, TensorRT inference integration, object detection/tracking, or Kafka/message broker integration.
Created by nvidia
Build DeepStream GStreamer pipelines interactively. Use when the user asks about pipelines for video/image inference, detection, tracking, or streaming — including natural phrases like 'pipeline to infer on image', 'run inference on video', 'detect objects in stream', 'save inference output', 'deepstream pipeline', 'gst-launch pipeline', 'process video with detection', 'build a pipeline', or any request involving GStreamer/DeepStream elements (nvinfer, nvstreammux, nvtracker, etc.).
Created by nvidia
Profile a DeepStream pipeline with Nsight Systems and derive its configs from the measurement. Use when the user asks for an efficient, performant, or profiled pipeline — or to benchmark, tune, or measure FPS.
Created by nvidia
Run and operate the DeepStream Multi-View 3D Tracking reference app, also known as MV3DT. Use when the user asks to set up prerequisites, run shipped MV3DT samples, run Multi-View 3D Tracking on custom synchronized MP4 datasets, import camera calibration, delegate missing calibration to AutoMagicCalib, inspect OSD or BEV visualization, consume MV3DT Kafka metadata, or clean up MV3DT run state in the DeepStream MV3DT app directory.
Created by nvidia
Use this skill when building, deploying, evaluating, debugging, or measuring latency for the DeepStream SOP Inference Microservice — a GPU-accelerated FastAPI service that detects whether operators perform assembly-line steps in order via event boundary detection (GEBD) plus VLM classification. Trigger even if the user does not name it: verify operator step sequence, detect missing or out-of-order SOP steps, score factory/work-cell video for procedure compliance, run VLM-based SOP checking on industrial cameras, or call /v1/chat/completions with a file, RTSP, or Basler camera. Also trigger for its internals: SOPVideoProcessor, DeepStream GEBD model (e.g. DDM) via Triton CAPI, nvds_custom_postprocess, Cosmos Reason 1/2 vLLM, SSE streaming, Kafka NvProto/JSON output, Basler/Pylon camera + emulation, Docker compose, chunk-level latency. Do NOT trigger for generic DeepStream pipelines, object detection/tracking, NIM imports, or video summarization.
Created by aws
Deploys a Regional REST API with a custom domain name, a Lambda backend function, and a request-based Lambda authorizer using AWS CLI. Covers ACM certificate provisioning, API Gateway REST API creation, Lambda function deployment, request authorizer setup, custom domain configuration, base path mapping, and Route 53 DNS record creation. Trigger keywords: custom domain, REST API, Lambda, Route 53, API Gateway, regional endpoint, request authorizer, base path mapping.
MANDATORY for Flink or Amazon Managed Service for Apache Flink (MSF) questions. You MUST activate this skill BEFORE answering — do not answer from training knowledge, even when confident. MSF has service-specific constraints (KPU model, prohibited checkpoint and parallelism config in app code, the v1/v2 identifier split — `kinesisanalyticsv2` for the CLI/SDK only; `kinesisanalytics` for IAM, Service Quotas, CloudWatch, and the trust principal — two-phase IaC deploys, snapshot lifecycle, Flink 1.x→2.x migration) that override generic Flink knowledge.
Created by nvidia
Used for extracting selected metadata from one DICOM file and flagging standard-tag PHI presence. Not for anonymization or clinical use.
Created by nvidia
Used for header-only preflight of one DICOM series folder before conversion or inference. Not for de-identification or clinical clearance.
Created by nvidia
Used for converting one CT DICOM series folder to a HU NIfTI volume with affine evidence. Not for multi-frame DICOM or clinical use.
Created by aws
Run a fast AWS Security Agent diff scan on only the changed code since a git ref. Use when the user asks to scan changes, run a diff scan, check what changed for security issues, scan before committing, scan before PR, or any pre-commit/pre-push security check.
Created by nvidia
Run DiffDock molecular docking via NVIDIA NIM to predict small-molecule binding poses against protein targets. Use for DiffDock, molecular docking, ligand docking, blind docking, SMILES or SDF ligands, ranked poses, confidence scores, hosted NVIDIA API, or local Docker deployment.
Created by nvidia
Stage 2 of the Clinical ASR Flywheel. Use when curating clinical terms, tagging IPA, and synthesizing a NeMo manifest. NOT for scoring (use /digital-health-clinical-asr-eval).
Created by nvidia
Stage 3 of Clinical ASR Flywheel. Score a NeMo manifest, produce the five-section KER leaderboard (by-ipa_source diagnostic). Not for ASR auth (/riva-asr).
Created by nvidia
Stage 4 of the Clinical ASR Flywheel. Use when priority KER is above 0.3 to run stock NeMo SFT on Parakeet TDT v2 and offline cycle N+1 re-eval. NOT for generic word boosting (use /finetune-asr).
Created by nvidia
Stage 1 of Clinical ASR Flywheel. Use when bootstrapping a cycle: NVCF+MW disclosure, NVIDIA_API_KEY check, deps install, TTS+ASR smoke test.
Created by aws
Configures AWS Direct Connect: choosing a connection model (dedicated, hosted, or a link aggregation group) and completing the cross connect; creating private, public, and transit virtual interfaces and bringing up BGP; reaching many VPCs through a Direct Connect gateway including cross-account transit gateway associations; encrypting traffic with MACsec or a private IP Site-to-Site VPN; making the connection resilient and tuning failover; managing link aggregation groups; SiteLink; and migrating from a virtual private gateway to a transit gateway. Use when the user wants a private, consistent network link between a data center and AWS, or operates an existing Direct Connect setup and needs to extend, encrypt, or harden it. Routes to the right per-task procedure in references. Do NOT use for transit gateway route tables and attachments (transitgateway skill), Site-to-Site VPN without Direct Connect (sitetositevpn skill), or Route 53 DNS routing (route53 skill).
Created by steipete
Use when you need to control Discord from Clawdbot via the discord tool: send messages, react, post or upload stickers, upload emojis, run polls, manage threads/pins/search, fetch permissions or member/role/channel info, or handle moderation actions in Discord DMs or channels.
Created by openclaw
Search local Discord archives and freshness
Created by aws
Handles the full DMS Schema Conversion lifecycle including creating migration projects, converting database schemas to a target engine, running compatibility assessments, navigating metadata trees, exporting converted DDL to S3, applying schema changes to a target database, and converting SQL statements between database engines.
Created by nvidia
Use this skill when the user is doing hands-on DOCA AES-GCM work on a BlueField DPU or ConnectX NIC — configuring `doca_aes_gcm_task_encrypt` / `_task_decrypt`, querying `doca_aes_gcm_cap_*` for per-key-type (only `DOCA_AES_GCM_KEY_128` / `_256` — AES-192 not supported) and per-task support, sizing plaintext against the max-buf cap, setting source / destination mmap permissions, validating with a NIST GCMVS or RFC 5288 vector, or debugging DOCA_ERROR_* including the security-critical tag-verification-failed outcome on decrypt. Trigger even when the user does not explicitly mention "DOCA AES-GCM" or "AEAD" — typical implicit phrasings: "decrypt completion IO_FAILED", "auth tag isn't verifying", "NOT_PERMITTED on my encrypt buffer", "is AES-192-GCM on this BlueField" (no), or "encrypted record came back tampered". Refuse and route elsewhere for non-GCM AES modes (CBC / CTR / XTS — CPU OpenSSL), key management (KMS / HSM / rotation), SHA (doca-sha), or general AEAD background.
Created by nvidia
Use this skill for hands-on DOCA Arg Parser CLI work on a shipped sample or new DOCA-using app — adding / removing / renaming flags; wiring `doca_argp_init` → register params → `doca_argp_start` → `doca_argp_destroy` in order; picking a parameter type from the full public enum (`DOCA_ARGP_TYPE_STRING`, `_INT`, `_BOOLEAN`, `_DEVICE`, `_DEVICE_REP`, `_DOUBLE` — six values, not three); preserving the standard `--device` / `--representor` / `--json` (`-j`; real flag is `--json`, NOT `--json-config`) / `--sdk-log-level` surface; or debugging `DOCA_ERROR_BAD_STATE` / `INVALID_VALUE` / `NOT_SUPPORTED` / `IO_FAILED` from `doca_argp_*`. Trigger on implicit phrasings: "add a custom flag to a DOCA sample", "should I use getopt here", "BAD_STATE registering a new param", "my JSON config key is rejected", or "my sample's --json is ignored". Refuse and route elsewhere for variadic-flag / subcommand / shell-completion features, DOCA Core context, or DOCA Log internals.
Created by nvidia
Use this skill when the user is deploying or operating the DOCA Argus Service — the packaged BlueField-side runtime-security container that watches the BlueField and attached host for suspicious activity, integrity violations, and operational anomalies, and forwards findings to a SIEM (Splunk / ELK / Sentinel / syslog). Covers the four-axis config (detection policy, forwarding, sampling, host coverage), running the NGC container on BlueField Arm, and wiring the forwarder. Trigger even without "DOCA Argus" by name — typical implicit phrasings: "container green but no findings arrive", "false-positive flood in Splunk", or "runtime security on a fleet of BlueField-3s". Refuse and route elsewhere for installing DOCA, SIEM-side ingest stanzas, pre-baked detection-rule packs, and metrics observability (DOCA Telemetry). Argus is NVIDIA's currently- promoted runtime-security framework, superseding the older App Shield library; name it first for new runtime-security work.
Created by nvidia
Use this skill for launching, supervising, debugging, OR platform lifecycle on a BlueField — BFB install, RShim/TMFIFO, host PF rebind, post-BFB recovery — taking a DOCA-linked binary to a healthy run directly on hardware (host x86 + BlueField NIC over PCIe, or BlueField Arm bare-metal). No container, no kubelet. Covers launch mode (direct, tmux, systemd), PCI/NUMA/ CPU/IRQ binding, co-tenant isolation (cgroup-v2/netns/numactl), a seven-layer error taxonomy, and a six-state BlueField lifecycle classifier. Trigger even when user does not say "bare-metal" — implicit phrasings include "binary exits 1 right after launch", "systemd keeps restarting it", "no matching device on the BF", "bfb-install exited 0 but DPU is dead", "ping 192.168.100.2 works but ssh fails", "host PFs aren't showing netdevs". Destructive firmware burn / mlxconfig set requires explicit confirmation via doca-hardware-safety; containers, library APIs, env prep, and build use other skills.
Created by nvidia
Run `doca_bench` (DOCA 2.7.0 or newer) to measure throughput, bulk latency, precision latency, or maximum bandwidth for RDMA, Compress, AES-GCM, SHA, DMA, EC, Ethernet, Comch, or GPUNetIO on a host or BlueField Arm. Use it to discover enabled benchmark libraries, capture a reproducible command/version/device/environment baseline, compare stable runs against a declared tolerance, or diagnose configuration, device-binding, workload-precondition, and measurement failures. Trigger for requests such as measuring BlueField compression speed, NIC RDMA throughput, crypto latency, or a pre-upgrade baseline. Do not use for application end-to-end timing, custom benchmark code, DOCA installation, or binary patches.
Created by nvidia
Use this skill when the operator is authoring, building, loading, or debugging a custom doca-bench plug-in — a versioned shared library with DOCA_EXPERIMENTAL-marked C entry points that doca-bench loads to measure a workload class its built-in modes do not cover, with doca_bench_cuda as the shipped reference exemplar. Trigger even when the user does not say "doca-bench-extension" or "doca_bench_cuda" — typical implicit phrasings include "no built-in doca-bench mode fits my workload", "how do I benchmark a CUDA GPUNetIO RX/TX kernel", "doca-bench cannot find or load my custom .so", "extension exported symbols do not match what the parent expects", "soversion mismatch after a DOCA upgrade", or "my GPU kernel hangs because stop_flag was never set". Refuse and route elsewhere for questions about which built-in doca-bench mode to pick, DOCA GPUNetIO programming semantics, CUDA toolkit installation, or contributor work on in-tree extensions — those belong to other skills.
Created by nvidia
Use this skill for BlueField-3 (BF3) day-1 platform bring-up via the classic RShim/BFB path: pushing a BlueField bundle (BFB) to the DPU over RShim with bfb-install from the host, the host-to-DPU TMFIFO management channel (tmfifo_net0, the 192.168.100.x convention), RShim daemon state and console-over-rshim, DPU mode selection (DPU/embedded-function vs separated-host/NIC mode) via mlxconfig, post-BFB recovery, a six-state BlueField-state classifier, and verifying the install (cat /etc/mlnx-release plus version checks). Trigger even when the user does not say "BF3" — typical phrasings include {push a BFB to my BlueField-3}, {bfb-install exited 0 but the DPU never came back}, {ping 192.168.100.2 works but ssh fails}, or {is DOCA on the host or the Arm side?}. BFB reflash, mlxconfig set, mode changes, and firmware burns are destructive: require explicit target-bound confirmation and load doca-hardware-safety. App launch, container deploy, env install, and the BF4 BMC-Redfish path route elsewhere.
Created by nvidia
WARNING: guides potentially IRREVERSIBLE BlueField-4 hardware operations (PLDM firmware burns, ISO reflashes, power cycles, BMC factory resets) that can brick firmware, corrupt boot media, or cause outages — a maintenance window and rollback plan are required, and every mutating step is governed by doca-hardware-safety, loaded alongside. Use this skill for BlueField-4 (BF4) day-1 platform bring-up from the BMC: installing the BlueField/DOCA bundle ISO onto the DPU (Grace, the Arm complex) over UEFI HTTP Boot, PXE, or Redfish Virtual Media; the PLDM firmware-update flow (BMC, NIC firmware, SBIOS, ERoT) via the Redfish UpdateService and pldmtool; and a Grace Ubuntu image with optional cloud-init. Trigger on BlueField-4/BF4 bring-up phrasings even without "BF4": {bring up my new BlueField-4}, {the BlueField ISO will not boot over HTTP from the BMC}, {attach BF4 virtual media via Redfish}, {BF4 firmware Task stuck at Running}. BF3 bring-up, application launch, and library APIs belong to other skills.
Created by nvidia
Use this skill when the user wants to invoke the read-only doca_caps CLI to ask what DOCA sees on this host — listing DOCA devices and PCIe addresses, listing representor devices, asking which DOCA libraries are available on the current OS, checking per-device per-library capabilities, scoping output to a specific PCIe address, or capturing a side-effect-free capability snapshot for a debug session or install smoke-test. Trigger even when the user does not explicitly mention "doca_caps" or "capabilities print tool" — typical implicit phrasings include "what does DOCA actually see on this box", "is my BlueField PF visible to DOCA", "is Flow available on my RHEL host", "enumerate VF representors for pf0", "doca_caps: command not found", or "empty output for RDMA, is the tool broken". Refuse and route elsewhere for DOCA installation, library-internal capability matrices (Flow pipe creation, RDMA verbs features), streaming telemetry / DTS, or modifying the shipped binary — those belong to other skills.
Created by nvidia
Use this skill to deploy and operate a CollectX (clx) based DOCA telemetry collector on a host or BlueField — wiring providers / counters into the collector, running the collection daemon, and shaping its exporters (Prometheus pull, Fluent Bit push, NetFlow, file / IPC) so the metrics actually leave the box. Trigger even when the user never says CollectX or clx — implicit phrasings: {collector emits nothing downstream}, {add a provider to the clx collector}, {turn on the Prometheus endpoint}, {ship counters to Fluent Bit from the DPU}, {daemon starts but no schema rows appear}. This skill owns the CollectX collection mechanism plus the operator's own doca-telemetry / doca-telemetry-exporter usage; it ROUTES the productized DOCA Telemetry Service (DTS) to public docs (AGENTS.md Non-goal #7), the reader API to doca-telemetry, and the publisher API to doca-telemetry-exporter. Refuse to invent clx symbols, provider names, schema fields, flags, or config paths — describe the class and route to the live source.
Created by nvidia
Use this skill when the user is doing hands-on DOCA Comch work on a host + BlueField pair — bringing up host ↔ DPU PCIe control-plane messaging, picking server (DPU) vs client (host) roles, choosing slow-path send-task / recv-callback vs fast-path producer / consumer, querying max-msg-size or max-clients capabilities, registering connection callbacks, or debugging DOCA_ERROR_* returns from the Comch API. Trigger even when the user does not explicitly mention "DOCA Comch" or "Comm Channel" (renamed in DOCA 2.5) — typical implicit phrasings include "send a control message from host to BlueField over PCIe", "DPU can't see the host representor", "DOCA_ERROR_NOT_PERMITTED on server_create", "DOCA_ERROR_AGAIN on task_send submit", "connect callback never fires", or "stream bulk data from a host driver to a DPU agent". Refuse and route elsewhere for installing DOCA itself, BFB / firmware bring-up, non-Comch DOCA libraries, or deploying Comch apps at scale — those belong to other skills.
Created by nvidia
Use this skill whenever the user is doing hands-on DOCA programming on a BlueField DPU or ConnectX NIC and needs the foundation primitives every per-library context rests on — walking the doca_ctx lifecycle, discovering doca_dev / doca_devinfo and gating on doca_*_cap_* before trusting a feature, wiring doca_mmap / doca_buf_inventory / doca_buf for zero-copy I/O across libraries, driving doca_pe for completions, or DOCA Log's two-tier (--sdk-log-level vs app-side) model. Trigger even when the user does not say "DOCA Common" — typical implicit phrasings include "my tasks submit but nothing completes", "DOCA_ERROR_BAD_STATE from doca_ctx_start", "--sdk-log-level does nothing for my DOCA_LOG_DBG lines", "share a buf between doca_dma and doca_rdma", or "crashes far from the offending line". Refuse and route elsewhere for per-library questions in isolation (load doca-flow / doca-rdma / doca-eth alongside), installing DOCA (doca-setup), or doc lookup (doca-public-knowledge-map).
Created by nvidia
Use this skill for hands-on DOCA Compress programming on a BlueField DPU, ConnectX NIC, or host with DOCA — enabling compress-deflate, decompress-deflate, decompress-lz4-stream, or decompress-lz4-block tasks on a doca_compress context (the hardware supports DEFLATE both directions plus LZ4 decompress; LZ4 encode is NOT supported), sizing source / destination doca_buf against the per-task cap query, setting mmap permissions, deciding offload vs CPU zlib / zstd, validating with a round-trip smoke, or debugging DOCA_ERROR_* from a Compress call. Trigger on phrasings like "offload this gzip", "decompress incoming network data", "compress task returns INVALID_VALUE on alloc_init", "submitted a task but no completion arrives", or "decompress LZ4 on the BlueField." Refuse and route elsewhere for non-DEFLATE / non-LZ4 algorithms (zstd / Snappy / brotli), LZ4 encode (route to a CPU LZ4 library), pure mmap-to-mmap copies (doca-dma), or DOCA Core lifecycle internals.
Created by nvidia
Use this skill when the user is hands-on deploying an in-bundle DOCA service container (Argus, DMS, Firefly, or UROM service) on a BlueField — kubelet standalone watching a static-pod manifests directory, YAML pod-spec drop, kubelet status / ENTRYPOINT logs / per-service liveness, smoke-before-bulk, and the layered error taxonomy (pod-spec, scheduling, image pull, runtime, mount, network, version, host). Trigger even when the user does not say "container deployment" — typical implicit phrasings include "how do I run my built service on the BlueField?", "where do I drop the pod-spec YAML?", "pod stuck in Pending / ImagePullBackOff / CrashLoopBackOff", "container Running but service isn't ready", "pod restart-loops after edit", or "DMS and Firefly together". Refuse and route elsewhere for per-service config schemas, DOCA install, library-API questions, external NVIDIA services (BlueMan, HBN, SNAP, Virtio-net), or full Kubernetes-cluster ops — those belong to other skills.
Created by nvidia
Use this skill when the user is debugging any DOCA symptom — a build that won't compile, a link step that can't resolve a doca_* symbol, a runtime call returning DOCA_ERROR_*, a silent service or tool, or a stack trace / valgrind / core dump — and needs the layered ladder (install → version → build → link → runtime → program → driver), verbosity controls (--sdk-log-level, DOCA_LOG_LEVEL, the doca-{lib}-trace flavor), container-debug constraints, or how to capture state for a Developer Forum post. Trigger even when the user does not say "DOCA debug" — implicit phrasings include "undefined reference to doca_*", "how do I get more logs", "packets aren't reaching the wire", "doca_caps returned nothing", or "hugepages empty in the container". Refuse and route elsewhere for library-specific debug (Flow pipe trace, RDMA QP, Comch stats), env-class pkg-config or hugepages symptoms, the DOCA_ERROR_* taxonomy and lifecycle interpretation, and performance or incident-response work — those belong to other skills.
Created by nvidia
Use this skill when the user is doing hands-on DOCA Device Emulation on a BlueField DPU — exposing a custom emulated PCIe device the host sees as a real peripheral while DPU-side code runs the backend, picking the sub-library (PCI Generic, virtio-net, virtio-fs), wiring the per-sub-library Core context plus doorbell / DMA primitives, querying `doca_devemu_*_cap_*`, or debugging DOCA_ERROR_* from a `doca_devemu_*` call. Trigger even when the user does not say "devemu" — typical implicit phrasings include "expose a custom PCIe device from BlueField to the host", "host should see a virtio NIC backed by my DPU code", "lspci does not show my emulated device", "device enumerated but no driver binds", "DPU sees nothing when host kicks the queue", or "virtio feature negotiation failed at bind". Refuse and route elsewhere for the packaged DOCA SNAP / Virtio-net Services, host-side virtio kernel drivers, backend body design, or standard BlueField NIC behavior — those belong to other skills.
Created by nvidia
Use this skill when the user is doing hands-on DOCA DMA programming — bringing up a doca_dma context, configuring the single doca_dma_task_memcpy task type, sizing buffers via the doca_dma_cap_task_memcpy_* queries, setting LOCAL_READ_ONLY / LOCAL_READ_WRITE permissions on source / destination doca_mmap regions (plus doca_mmap_export_* for cross-peer copies), driving the progress engine, or debugging DOCA_ERROR_* returns. Trigger even when the user does not explicitly mention "DOCA DMA" or "doca_mmap" — typical implicit phrasings include "memcpy host buffer to BlueField without using the CPU", "offload a bulk copy to the DPU", "copy returns NOT_PERMITTED on first submit", "buffer too big for one DMA task", "task submitted but no completion", or "scatter-gather copy between two memory regions". Refuse and route elsewhere for cross-network copies (DOCA RDMA), producer/consumer messaging (DOCA Comch), DOCA Core / progress-engine internals, or DOCA install — those belong to other skills.
Created by nvidia
Operate NVIDIA DOCA Management Service (`dmsd` + `dmspe`) on a BlueField, Arm/x86 host, or Kubernetes pod: choose deployment and authentication, configure `-allowed_users` and `dmsgroup`, use gNMI Get/Set/Subscribe, run supported gNOI workflows, and debug frontend/backend failures. Trigger even without "DMS" for "manage a remote BlueField over gRPC", "gNOI reboot from orchestrator", or fleet-management requests. SAFETY: reboot, OS install, factory-reset, and managed-file deletion are destructive and require target-bound explicit confirmation; never invoke them speculatively. Route installation and library/API build questions elsewhere, and route turnkey aggregation to the externally-productized DOCA Telemetry Service.
Created by nvidia
Use this skill when the user is doing hands-on DOCA DPA host-side work on a BlueField — creating the `doca_dpa` Core context, loading a DPACC-compiled DPA app image (`doca_dpa_app`), creating DPA threads, launching kernels via `doca_dpa_kernel_launch_update_*`, draining `doca_dpa_completion`, running `doca_dpa_cap_*` discovery, choosing between the DPA comm component (inter-DPA messaging) and the DPA verbs component (in-kernel RDMA), or debugging `DOCA_ERROR_*` from `doca_dpa_*`. Trigger even without "DOCA DPA" or "Data-Path Accelerator": "run compute on the DPA from my host", "DPA kernel hangs, no completion", "DOCA_ERROR_DRIVER on launch", "DOCA/DPACC version skew", or "does this BlueField expose a DPA". Route elsewhere for DPA-side kernel programming itself, DPACC compiler internals, host↔DPU messaging (doca-comch), host-side RDMA (doca-rdma), and GPU-initiated networking (doca-gpunetio).
Created by nvidia
Use this skill when the user runs doca_dpa_hl_tracer to capture/decode DPA-side traces at the programming-events layer (kernel entry/exit, sync points, comm primitive calls, RDMA WR submission, completion drain) — picking TRACE vs CRIT, tuning the JSON config (file-size limits + file_size_limit_policy, thread priorities/cores), decoding against the matching DPA-side ELF, or diagnosing empty/noisy captures. Trigger even when the user does not explicitly mention "DOCA DPA tracer" or "high-level tracer" — typical implicit phrasings include "DPA kernel returns wrong result but host completions look clean", "kernel-entry to first-comm latency is huge", "RDMA WR to drain gap on the DPA", "trace file truncated mid-run", "TRACE doubled my DPA latency", or "tracer wrote a file but parser shows zero events". Refuse and route elsewhere for writing DPA kernels, DPA-Comms/DPA-Verbs programming, raw per-cycle DPA profiling, host-side doca-dpa debugging, or production DPA telemetry — those belong to other skills.
Created by nvidia
Use this skill when the user has an existing DPDK application and is adding DOCA capabilities in-place — most commonly DOCA Flow hardware steering — without rewriting the data-plane in DOCA-native form: binding a DPDK port id to a `doca_dev` (`doca_dpdk_port_probe` / `doca_dpdk_port_as_dev`), converting `rte_mbuf` ↔ `doca_buf`, querying `doca_dpdk_cap_is_rep_port_supported`, or debugging `DOCA_ERROR_*` from a bridge call. Trigger even without "DOCA DPDK Bridge": "how do I add DOCA Flow to my DPDK app", "make a DPDK port visible to DOCA", "the bridge loads but every operation returns errors", "pkg-config --exists doca-dpdk-bridge fails", or "DOCA_ERROR_NOT_FOUND on port registration". Route elsewhere for fresh DOCA-native packet I/O (doca-eth), flow-rule programming (doca-flow), DOCA or DPDK install (doca-setup), or RDMA data movement (doca-rdma).
Created by nvidia
Use this skill when the user is doing hands-on DOCA Erasure Coding programming on a BlueField DPU, ConnectX NIC, or host — bringing up a doca_ec context, picking among the create / recover / update tasks, choosing matrix type / N / K / block size, querying doca_ec_cap_* before sizing, setting doca_mmap src/dst permissions, or debugging DOCA_ERROR_* returns from doca_ec_task_*. Trigger even when the user does not name "DOCA Erasure Coding" or "Reed-Solomon" — typical implicit phrasings include "one data block changed, how do I refresh parity without re-encoding", "a disk failed and 2 parity blocks are gone, can I rebuild", "RAID-6 resilience across 12 disks", "my doca_ec_task_create returns NOT_PERMITTED", or "is this N+K layout still recoverable". Refuse and route elsewhere for non-Reed-Solomon codes (fountain / LDPC / raptor), pure-replication designs, network FEC, or other DOCA accelerator libraries (SHA / Compress / AES-GCM / DMA) — those belong to other skills.
Created by nvidia
Use this skill for hands-on DOCA Ethernet packet-queue work on a BlueField DPU or ConnectX NIC — bringing up a `doca_eth_rxq` or `doca_eth_txq` on a port / representor / SF, picking among the four `enum doca_eth_rxq_type` values (`_REGULAR` / `_CYCLIC` / `_MANAGED_MEMPOOL` / `_SHARED_MEMPOOL`), sizing burst or scatter-gather length against the `_cap_*` queries, submitting `doca_eth_txq_task_send` / `_lso_send` (carrying packet `doca_buf`s — no `doca_eth_frame` struct exists), or debugging DOCA_ERROR_* from an Ethernet call. Trigger on implicit phrasings: "my RX queue is up but no packets arrive", "send-task returns AGAIN at line rate", "which queue type for fixed-MTU ingress", "device open fails without sudo", or "is L3 checksum offload available here". Refuse and route elsewhere for installing DOCA, flow-rule / steering programming, host↔DPU control messaging, or RDMA data movement.
Created by nvidia
Use this skill when the user is operating the DOCA Firefly Service container on BlueField — picking the four PTP configuration axes (role / profile / domain / interface), wiring the BlueField PHC + host follower + consumer workload pairing, deciding whether PTP-grade time is even needed (vs. chrony / NTP), or debugging a Firefly deployment where PTP isn't syncing or the host clock isn't following. Trigger even when the user does not explicitly mention "DOCA Firefly" or "PTP" — typical implicit phrasings include "container green but PTP never advances past LISTENING", "Firefly says synced but the host clock still drifts", "sync acquired but offset is tens of microseconds", "my Rivermax SMPTE workload needs PTP", or "is chrony good enough". Refuse and route elsewhere for installing DOCA, host-side chrony / ptp4l config bodies, PTP topology / boundary-clock design, building DOCA apps that read the disciplined PHC, or other DOCA services (DMS, Flow-Inspector, HBN) — those belong to other skills.
Created by nvidia
Build and debug DOCA Flow applications on supported NVIDIA NICs/DPUs: define match/action pipes, initialize ports and representors, choose forwarding targets, validate pipes before hardware programming, read counters, match the Flow version to the installed DOCA release, and diagnose Flow API errors. Trigger on DOCA packet steering, classifier, representor, rule-matching, hairpin, or 5-tuple-to-queue questions even when "DOCA Flow" is not named. Route plain DPDK `rte_flow`, kernel TC, OVS, BFB bring-up, and DPU OS installation elsewhere. DPU OS installation is destructive and always requires explicit confirmation.
Created by nvidia
Use this skill when the user is invoking doca_flow_dpa_perf on DPA-capable hardware (ConnectX-7 minimum supported, ConnectX-8 recommended, or BlueField-3) to measure rule update / disable rates on the DPA-offloaded DOCA Flow path — picking the active / passive device split, choosing workload-shape axes (burst, queue, completion threshold, workers, hash pipe algo, PSL tables), or reading Kops/sec iteration stats and the optional self-test. Trigger even when the user does not explicitly mention "doca_flow_dpa_perf" or "DPA Provider" — typical implicit phrasings include "how fast can the DPA program path-selector entries", "baseline rule-update rate on ConnectX-8", "tool reports zero ops on my BlueField", "self-test sentinel never shows on tcpdump", or "is my BlueField-2 DPA-capable". Refuse and route elsewhere for the host / DPU-CPU Flow path (doca-flow-perf), Flow pipeline tuning (doca-flow-tune), writing doca-flow / doca-dpa applications, or DOCA install — those belong to other skills.
Created by nvidia
Use this skill when the user is doing hands-on DOCA Flow DPA Provider work — exporting a `doca-flow` pipe or external resource (index-selector/memory) into BlueField DPA address space so a DPACC-built kernel can read counters, mutate hash-pipe entries, and update/read memory or index-selector resources inline with Flow. Covers per-port `doca_flow_dpa_ctx`, three queue types (general/resources-write/resources-read), the order-sensitive export handshake (`_export_prepare` → add entries → `_export` → `_get_device_addr`), and DPA-side device API. Trigger even when the user does not say "DOCA Flow DPA Provider" — implicit phrasings include "DPA kernel never sees entries in the exported pipe", "BAD_STATE from `_pipe_export`", "how do I disable a hash entry from a DPA kernel", "DPA memory read returns no value", or "DPA-side post keeps returning AGAIN". Refuse and route elsewhere for `doca-flow` pipe construction, generic host-side DPA (`doca-dpa`), or DPA-side kernel-writing — those belong to other skills.
Created by nvidia
PLAINTEXT-ONLY: the shipped `doca_flow_grpc` server uses `grpc::InsecureServerCredentials()` with NO TLS / mTLS / token-auth knob on the binary — transport security must come from external infrastructure (e.g. an mTLS proxy / sidecar) on a trusted segment. Use this skill when bringing up, configuring, hardening, or debugging `doca_flow_grpc` — the DOCA-shipped gRPC remote-control surface in front of `doca-flow` that lets non-C++ clients (Python, Go, Rust, Java) program Flow pipes and entries over RPC instead of linking `libdoca_flow.so` directly. Trigger even when the user doesn't say 'doca-flow-grpc-server' or 'gRPC' — e.g. 'program Flow rules from Python on another host', 'remotely configure pipes on the BlueField', 'client times out connecting to the Flow server', 'where is the .proto for Flow', 'UNAUTHENTICATED / FAILED_PRECONDITION on a Flow RPC'. Route elsewhere for the underlying doca-flow API, generic gRPC tooling (protoc, language bindings), or DOCA install / BFB bring-up.
Created by nvidia
Use this skill when the user is measuring the host or DPU-CPU control-plane rate of a DOCA Flow pipeline with doca_flow_perf — picking a JSON policy from configs/, choosing the DPDK or DOCA backend, running the single-iteration smoke then the iterative eval loop, interpreting per-iteration CPU cycles and num_pushed / num_failed, or capturing the four-tuple (DOCA version, BlueField/firmware, JSON policy, worker/queue/burst config) that makes a Kops/sec number defensible. Trigger even when the user does not explicitly mention "doca-flow-perf" — typical implicit phrasings include "how many rules per second can my BlueField insert", "5-tuple hairpin rule rate", "Kops/sec for steering", "flow-perf number does not match release notes", "DPDK vs DOCA benchmark", or "rule-install variance too high". Refuse and route elsewhere for optimizing a live Flow app (doca-flow-tune), the DPA-offloaded path (doca-flow-dpa-perf), dataplane throughput or latency, or library-internal pipe semantics — those belong to other skills.
Created by nvidia
Use this skill when the user is tuning a live or captured `doca-flow` pipeline with `doca_flow_tune` — snapshotting pipe / counter / KPI state, picking a tuning axis (rule placement, resource hints / table sizing, HW-offload mode) and a matching measurement (rule-install rate, lookup latency, hardware-counter delta), running offline or online (read-only or state-changing) modes, reading the dumper CSV / analyze JSON / visualize mermaid, or applying a recommendation back into the Flow program. Trigger even when the user does not explicitly mention "doca_flow_tune" — typical implicit phrasings include "Flow rule-install rate is low on BlueField", "table sizing looks wrong for this pipe", "tune visualize step is empty", "before/after counters don't move", or "which doca-flow knob does this recommendation hit". Refuse and route elsewhere for measuring baseline numbers (doca-flow-perf, doca-flow-dpa-perf), writing the doca-flow application, DOCA install, or streaming Flow telemetry — those belong to other skills.
Created by nvidia
Use this skill for hands-on DOCA GPI programming — wiring a GPU-Packet-Initiator context so a CUDA kernel drives RDMA queues directly from GPU memory without host CPU mediation. Covers picking GPI vs doca-gpunetio, the doca_gpi / domain / channel object model, the GPU-side handle handoff (doca_gpu_gpi_channel*), attaching GPU memory to a GPI domain, the domain and channel attribute objects, and debugging DOCA_ERROR_* from doca_gpi_* calls. Trigger even when the user does not explicitly mention "DOCA GPI" — implicit phrasings include "my CUDA kernel needs to post RDMA directly from GPU memory", "DOCA_ERROR_* from doca_gpi_gpu_channel_get", "how do I hand a GPU handle to my CUDA kernel", "how many channels can a GPI domain hold", or "GPU kernel driving RDMA without the host CPU on the path". Refuse and route elsewhere for the doca-gpunetio Send/Receive surface, the doca-rdma queue lifecycle, DPA-side initiation (doca-rdmi), or the CUDA programming model — those belong to other skills.
Created by nvidia
Use this skill when the user is doing hands-on DOCA GPUNetIO programming — wiring a CUDA kernel on an NVIDIA GPU to a doca-eth queue via doca_gpu_eth_rxq / doca_gpu_eth_txq, standing up the per-CUDA-device doca_gpu context, designing the persistent CUDA kernel that drains the GPU-visible queue, running the dual capability check (DOCA cap-query plus cudaGetDeviceProperties), registering cudaMalloc pools via doca_buf_arr_create_*, or debugging DOCA_ERROR_* returns from the GPUNetIO API. Trigger even when the user does not explicitly mention "DOCA GPUNetIO" or "persistent kernel" — typical implicit phrasings include "CUDA kernel reading packets directly from the NIC", "GPU-initiated networking on BlueField", "DOCA_ERROR_DRIVER on doca_gpu_create", "nvidia_peermem not loaded", "kernel-per-packet is too slow", or "which GPU supports GPU-side packet I/O". Refuse and route elsewhere for general CUDA programming, DOCA Ethernet queue bring-up, DOCA DPA, or DOCA install — those belong to other skills.
Created by nvidia
Use this skill when the user is building, running, or interpreting the doca/tools/gpunetio_ib_write_bw client+server benchmark — a CUDA kernel on the client posts RDMA WRITE work requests through the doca-gpunetio device-side surface to measure sustained GPU-driven WRITE bandwidth on a GPU+IB-device pair. Trigger even when the user does not explicitly mention "doca-gpunetio-ib-write-bw" or "GPUNetIO" — typical implicit phrasings include "measure WRITE BW when the GPU posts the WRs", "BW swings between runs on the same flags", "is the NIC saturated or am I CPU-bound on the CUDA kernel", "meson compile fails for the GPUNetIO bw tool", "nvidia_peermem isn't picking up my GPU buffer", or "GPU-initiated WRITE throughput vs CPU-initiated perftest". Refuse and route elsewhere for general doca-gpunetio library work, DOCA install, the GPU-initiated WRITE latency analog, the CPU-initiated upstream perftest, or application-level end-to-end throughput — those belong to other skills.
Created by nvidia
Use this skill when the user is measuring GPU-kernel-initiated RDMA WRITE latency through doca-gpunetio — building and running the `gpunetio_ib_write_lat` client + server pair under `doca/tools/gpunetio_ib_write_lat/`, checking GPU-NIC pairing, reading the half-iter / full-iter / CUDA-side usec columns, characterizing median / p99 / jitter for a real-time control loop, picking GPUNetIO vs GPI vs CPU-initiated `perftest`, or weighing the latency-vs-batching trade-off. Trigger even without 'GPUNetIO' or 'ib_write_lat': 'GPU kernel RDMA latency benchmark', 'how fast can a CUDA kernel post a WRITE', 'p99 RDMA latency on H100 + ConnectX', 'kernel-launched WR tail latency', or 'compare GPU-init vs CPU-init perftest'. Route elsewhere for bandwidth runs (doca-gpunetio-ib-write-bw), the GPI surface (doca-gpi), library debugging (doca-gpunetio), or DOCA install.
Created by nvidia
Use this skill whenever the agent is about to recommend or apply a change that touches DPU / NIC hardware state on a live system — mlxconfig firmware-parameter write, NIC firmware burn, BFB reflash, NIC ↔ DPU mode flip, SR-IOV or device-emulation slot enable, kernel boot-parameter change (IOMMU, hugepages, VFIO), PCIe rebind / rescan / link-state flip, or BlueField cold reboot. Wraps the change in pre-flight inventory, OOB reachability, a maintenance window, the mlxconfig cold-power-cycle rule, replica rehearsal, and rollback. Trigger even when the user does not say "hardware safety" — implicit phrasings: "flip BlueField mode over SSH", "enable SR-IOV and reboot", "burned firmware but mlxconfig shows old value", "reflashed BFB and lost representors", "reflash during business hours", "vendor says this is one-way". Refuse for general DOCA orientation (doca-public-knowledge-map), install or env debug (doca-setup), and program-side debug (doca-debug, doca-programming-guide) — those belong to other skills.
Created by nvidia
Use this skill when the user is doing hands-on DOCA Management programming against BlueField / ConnectX devices — standing up a management or representor context (doca_mgmt_dev_ctx / doca_mgmt_dev_rep_ctx), querying device caps (data-direct, caps-general), toggling congestion-control global status, modifying diagnostics-data, setting ICM quotas, or issuing a raw firmware command via doca_mgmt_raw_cmd with the right scope (CONFIGURATION / DEBUG_READ_ONLY / DEBUG_WRITE / DEBUG_WRITE_FULL). Trigger even when the user does not say "DOCA Management" — typical implicit phrasings include "fleet tool that walks every BlueField and reads device state", "toggle data-direct on a VF", "set an ICM quota per representor", "send a raw firmware command from C", "DOCA_ERROR_IO_FAILED from raw_cmd", or "fwctl ioctl is failing". Refuse and route elsewhere for mlxconfig direct operation, BFB / firmware reflash, streaming telemetry, doca_caps CLI snapshots, or DOCA install itself — those belong to other skills.
Created by nvidia
Use this skill when the user is doing hands-on host-side DOCA PCC work to load a CUSTOM Programmable Congestion Control algorithm onto a BlueField DPU — creating per-port `doca_pcc` contexts, loading a `dpacc`-compiled `doca_pcc_app` onto the `doca_dev` for the RoCE-bearing port, parameterizing it, walking triple-axis capability discovery (DOCA cap-query + DPA-capable BlueField + firmware custom-PCC slot enabled), or debugging `DOCA_ERROR_*` from `doca_pcc_*`. Trigger even without explicit "DOCA PCC" phrasing — implicit forms include "loading my own congestion control onto a BF port", "DOCA_ERROR_NOT_PERMITTED on algorithm load", "DOCA_ERROR_DRIVER when I attach my custom algorithm", "my custom rate-update isn't affecting RoCE traffic", or "load succeeds but no on-wire change". Refuse and route elsewhere for DPA-side algorithm-body design, the `pcc_counters` CLI, default factory PCC in ConnectX firmware, or setting up the RDMA / RoCE traffic — those belong to other skills.
Created by nvidia
Use this skill when the user is invoking the DOCA PCC Counters tool — the `pcc_counters.sh` bash script under the DOCA tools directory — to arm and read the fixed firmware/hardware PCC (Programmable Congestion Control) diagnostic counters (CNP, RTT, WRED-drop, etc.) on a ConnectX / BlueField device via mst + the mlx5 debugfs `diag_cnt` interface. The script takes two positional args — `set | query` and an mst device path — with no `--help` or subcommands. Trigger even without "pcc_counters.sh" or "PCC counters": "how do I read the CNP / RTT / WRED-drop counters", "PCC counter stuck at zero", "the script says Bad Device", or "is congestion control dropping packets on this port?". Route elsewhere for writing a custom PCC algorithm (doca-pcc), factory firmware PCC config, DOCA install, or fleet-wide CC tuning.
Created by nvidia
Use this skill when the user is doing hands-on deployment, tuning, or evaluation of the DOCA-shipped Zero-Touch RoCE RTT-based Congestion Control (ZTR RTTCC) reference algorithm on a BlueField-3 DPA — wiring `doca_pcc_dev_ztr_rttcc_algo` into the shipped DOCA PCC sample, picking a variant (vanilla / PM / RX-rate / multipath / window-probeless) at DPACC build time, tuning host-set parameters, or diagnosing `DOCA_PCC_DEV_STATUS_FAIL` from the algorithm. Trigger even when the user does not say 'DOCA PCC' or 'ZTR RTTCC' — typical implicit phrasings: 'my RoCE-v2 flows aren't being throttled', 'PCC sample isn't dispatching to my algo', 'how do I pick the multipath PCC variant', 'set-params returns fail', 'algorithm loaded but counters are flat', or 'do I need a custom CC algorithm on BF3'. Refuse and route elsewhere for writing a custom PCC algorithm from scratch, read-only PCC counter inspection, the host-side `doca-pcc` lifecycle, or firmware-only pre-Programmable PCC — those belong to other skills.
Created by nvidia
Use this skill when the user is writing their first DOCA app or asking a library-agnostic programming question — picking a shipped sample to copy and modify, wiring the canonical pkg-config doca-{library} + meson build (or FFI from Rust / Go / Python against the public C ABI), walking the cfg-create → init → start → use → stop → destroy lifecycle, validating a spec before commit, or decoding a DOCA_ERROR_* return with doca_error_get_descr(). Trigger even when the user does not say "DOCA programming guide" — implicit phrasings: "write my first DOCA program", "meson line for doca_rdma_*", "got DOCA_ERROR_BAD_STATE on my first call", "call DOCA from Rust without writing C", "built clean but nothing on the wire", "what order do doca_*_pipe calls go in". Refuse and route for install / hugepages / pkg-config not resolving doca-{library} (doca-setup), docs or version lookup (doca-public-knowledge-map), and library-internal API construction like Flow pipe topology or RDMA QP setup (matching library skill).
Created by nvidia
Use this skill when the user needs to locate authoritative information about NVIDIA DOCA without access to the source tree — finding the right docs.nvidia.com page for a library/service/tool, identifying which DOCA libraries are installed and at what version, locating a sample on disk or its public GitHub source, decoding an on-disk path under /opt/mellanox/doca, or recovering from a 404'd or renamed doc URL. Trigger even when the user does not explicitly mention 'DOCA' or 'docs.nvidia.com' — typical implicit phrasings include 'where can I read about this library', 'which version do I have installed', 'where is the sample for X', 'this NVIDIA URL is broken what is the new one', 'what is in /opt/mellanox/doca', or 'where can I ask NVIDIA about this'. Refuse and route elsewhere for hands-on programming patterns, env prep and install verification, library API tutorials, or hardware/firmware mutation — those belong to doca-programming-guide, doca-setup, the per-library skills, and doca-hardware-safety.
Created by nvidia
Use this skill when the user is doing hands-on DOCA RDMA programming on a BlueField DPU, ConnectX NIC, or DOCA host — bringing up an RDMA context on a doca_dev, picking a connection method (RDMA CM, bridge/OOB, or gRPC exchange of doca_rdma_export()), enabling one of the eleven task types (Send/Receive/Send-Imm, Read/Write/Write-Imm, Atomic CmpSwap/FetchAdd, Get/Set/Add Remote Sync Event), setting matching mmap + RDMA permissions, sizing queues and connections, querying doca_rdma_cap_*, or debugging DOCA_ERROR_* from an RDMA call. Trigger even when the user does not mention "DOCA RDMA" — typical implicit phrasings include "one-sided read returns permission denied", "completions never arrive after submit", "connection callback never fires", "how do I do atomic compare-and-swap over RoCE", or "send queue hits DOCA_ERROR_FULL under burst". Refuse and route elsewhere for general RDMA / ibverbs theory (queue pairs, MRs, RoCE vs IB), installing DOCA itself, or non-RDMA DOCA libraries.
Created by nvidia
Use this skill when the user is doing hands-on DOCA RDMI (RDMA Initiator) programming — picking doca-rdmi vs doca-rdma for an accelerator-initiated one-sided RDMA flow, standing up a doca_rdmi_connection or doca_rdmi_poster, attaching a doca_dpa_completion or doca_verbs_cq before doca_ctx_start(), retrieving the DPA-side handle for a DPA kernel, auditing whether a doca_rdmi_* symbol is EXPERIMENTAL on this DOCA, or debugging DOCA_ERROR_* returns from RDMI calls. Trigger even when the user does not say "DOCA RDMI" or "initiator" — implicit phrasings include "my DPA kernel needs to post RDMA writes to a remote responder", "DPA kernel sees no completions", "function not found on doca_rdmi_* at link time", "DOCA_ERROR_BAD_STATE from completion attach", or "the DPA posted but the work request never arrived". Refuse and route elsewhere for two-sided or host-CPU RDMA, the DPA programming model, GPU-side RDMA initiation, or general RDMA/IB/RoCE concepts — those belong to other skills.
Created by nvidia
Use this skill when the user is doing hands-on DOCA Rivermax work on a BlueField DPU or ConnectX host — standing up `doca_rmax_in_stream` (receive) sessions for timing-precise media-over-IP (SMPTE ST 2110 video/audio, market data, scientific feeds), confirming the Rivermax SDK + license precondition before any DOCA-side code, running `doca_rmax_get_*_supported` capability queries, pairing with `doca-eth` queues and `doca-flow` steering, or debugging `DOCA_ERROR_*` from a Rivermax call. Trigger even when the user does not explicitly mention "DOCA Rivermax" or "rmax" — implicit phrasings include "ST 2110 receive isn't getting frames", "sub-microsecond jitter on BlueField", "NOT_SUPPORTED from doca_rmax_init", "no recv events after stream start", or "license check failing on a media receiver". Refuse and route elsewhere for installing the Rivermax SDK or its license, programming the underlying queue (`doca-eth`), steering rules (`doca-flow`), or best-effort packet I/O — those belong to other skills.
Created by nvidia
Use this skill when the user is dealing with the DOCA environment around their workload — verifying an install is healthy, preparing the build env (pkg-config, headers, LD_LIBRARY_PATH, hugepages, devlink, representors), debugging env-class failures, deciding container-vs-bare-metal deployment shape, or reaching a DOCA install from a host that doesn't have one yet via the NGC DOCA container Stage-1 fallback. Trigger even when the user does not explicitly mention "DOCA setup" — typical implicit phrasings include "I just got a BlueField, what now", "my code is built, how do I run it", "pkg-config can't find doca-flow", "no free 2048 kB hugepages", "representor X not found", "I'm on a Mac and want to learn DOCA". Refuse and route elsewhere for library API specifics (Flow pipes, RDMA queues), the modify-a-sample first-app workflow or DOCA_ERROR_* program-side debugging, and "where is X documented" knowledge-map questions — those belong to other skills.
Created by nvidia
Use this skill when the user is doing hands-on DOCA SHA programming — offloading SHA-1, SHA-256, or SHA-512 hashing onto a BlueField DPU or ConnectX accelerator, picking between one-shot `doca_sha_task_hash` and incremental `doca_sha_task_partial_hash`, querying `doca_sha_cap_*` for algorithm support and min destination / max source buffer sizes, setting source / destination `doca_mmap` permissions, or decoding DOCA_ERROR_* returns from the SHA API. Trigger even when the user does not explicitly mention "DOCA SHA" or "doca_sha_task" — typical implicit phrasings include "hash a multi-GiB file on the DPU", "offload SHA-256 to the BlueField", "streaming hash over chunks", "partial hash returns BAD_STATE", "destination buffer too small for digest", or "is SHA-512 available on this card". Refuse and route elsewhere for general cryptographic-hash theory (collision resistance, SHA-3 selection), other DOCA crypto libraries (AES-GCM, Compress, DMA), or DOCA install / BFB bring-up — those belong to other skills.
Created by nvidia
Use this skill when wiring the DOCA SHA Offload Engine (an OpenSSL ENGINE) into an existing OpenSSL pipeline to offload one-shot SHA-1, SHA-256, or SHA-512 (EVP_Digest) onto DOCA SHA hardware without rewriting against doca-sha. Covers engine load mechanics (`openssl engine dynamic`, `set_pci_addr` ctrl, `-engine_impl`), the SHA-224 negative test that proves offload engaged, the message-size window where offload beats CPU SHA, and engine-vs-library selection. Trigger even when the user does not say "DOCA SHA Offload Engine" or "OpenSSL ENGINE" — typical implicit phrasings: "speed up openssl SHA on BlueField", "offload SHA without code changes", "is openssl using the accelerator or falling back to software", "prove DOCA SHA actually ran", "openssl dgst hashed but I'm not sure it was offloaded". Refuse and route elsewhere for new SHA pipelines (use doca-sha), MD5 / SHA-3 / SHA-224 / HMAC-SHA offload, incremental hashing via chained `EVP_DigestUpdate`, or OpenSSL PROVIDER authoring.
Created by nvidia
Use this skill when the operator is driving the DOCA Socket Relay to bridge a socket-oriented host application onto a BlueField DPU peer without rewriting it — picking the deployment shape (in-process, sidecar, or BlueField service container), configuring the host-side socket and the DPU-side forwarding endpoint, walking the bind → connect → round-trip → admit-fleet smoke, or diagnosing a stuck/silent relay. Trigger even when the user does not explicitly mention "DOCA Socket Relay" — typical implicit phrasings include "move my socket app onto the BlueField without rewriting it", "host app gets ECONNREFUSED on the relay", "relay accepts the connection but bytes never arrive on the DPU side", "first round-trip works, the rest hang", "bridge an AF_UNIX (UDS) socket to a DPU peer over Comch", or "I want a sidecar that forwards my socket to the BlueField". Refuse and route elsewhere for the comch programming API, line-rate raw packet I/O via doca-eth, and DOCA install/bring-up — those belong to other skills.
Created by nvidia
Use this skill when the user is invoking `doca_spcx_cc` (the host-side CLI under /opt/mellanox/doca/tools/) to load, parameterize, start, observe, or stop a Programmable Congestion Control (SPCX) algorithm on a BlueField with a DPA processor against a live RDMA / RoCE fabric, or picking SPCX vs the established `doca-pcc` surface. Trigger even when the user does not say "DOCA SPCX" or "doca_spcx_cc" — typical implicit phrasings include "I want to write a custom RTT-based CC algorithm for my RoCE fabric", "my SPCX session loaded but throughput / latency didn't change", "doca_pcc status shows Active but factory CC seems to still be in charge", "DOCA_PCC_PS_ERROR on start", "is the programmable-CC surface available on my install", or "DPA-side algorithm image won't load". Refuse and route elsewhere for DPA-side algorithm authoring detail, factory PCC firmware configuration, read-only PCC counter inspection, raw DPA cycle profiling, RDMA library programming, or general DOCA install — those belong to other skills.
Created by nvidia
Use this skill when the user is doing hands-on NVMe-over-Fabrics storage-target work on a BlueField DPU or ConnectX NIC with DOCA STA — standing up a doca_sta DOCA Core context that accelerates the target-side NVMe-oF data path over RDMA, defining doca_sta_subsystem targets (NQN + namespaces) backed by local NVMe-PCI backend disks (doca_sta_be), checking device support via doca_sta_cap_is_supported, sizing the per-connection I/O queues, or debugging DOCA_ERROR_* from a STA call. Trigger even when the user does not say "DOCA STA" — typical implicit phrasings include "my NVMe-oF Connect never completes", "Identify Controller times out over RoCE", "16 I/O queues at depth 1024 — does this BlueField support that", "offload the nvmf target onto the DPU", or "DOCA_ERROR_IO_FAILED on an NVMe read". Refuse and route elsewhere for DOCA install, raw RDMA data movement, raw packet I/O, flow-rule programming, or initiator-side / host NVMe stack work — those belong to other skills.
Created by nvidia
Use this skill whenever another DOCA skill says "prefer the structured tool per doca-structured-tools-contract", or when the user wants a one-shot answer that consolidates info multiple manual commands would produce — DOCA env / version / devices / capabilities / validate / host vs DPU state. Trigger even when the user does not explicitly mention "structured tool" or "doca-env --json" — typical implicit phrasings include "is there one command that tells me everything about my DOCA install", "what version is X capability available since", "every PF/VF/SF visible on this BlueField with PCIe address", "will this pipe pass validate before commit", "diff host vs DPU state", or "why does the agent give a one-line answer on host A and five commands on host B". Refuse and route elsewhere for general DOCA orientation, specific library API how-to, or install-from-scratch guidance — those belong to the per-library skill, doca-public-knowledge-map, or doca-setup.
Created by nvidia
Use this skill to read DOCA hardware-counter events from a `doca_dev` through the per-domain Telemetry reader libraries: `doca_telemetry_pcc`, `_dpa`, `_diag`, `_adp_retx`, `_phy`, and `_pci`. It covers capability checks, context creation, startup, and per-domain reads or samples. Trigger for implicit requests such as "read PCC counters from my BlueField app", "sample DPA counter exports", or "expose PHY, PCI, or DIAG counters from this doca_dev". This is the counter-reader surface, not a NetFlow, IPFIX, or local-socket collector. Route publishing and export to `doca-telemetry-exporter`; route deployed DOCA Telemetry Service (DTS), collectors, and plain stdout logging elsewhere.
Created by nvidia
Use this skill when the user is doing hands-on DOCA Telemetry Exporter programming on a host where DOCA is installed — defining a doca_telemetry_exporter_schema and event types, creating sources, picking a publish surface (typed events / opaque events / the metrics counter-gauge-histogram API / OTLP logs / NetFlow), walking the schema-then-source lifecycle, or debugging DOCA_ERROR_* failures from the exporter API. Trigger even when the user does not explicitly mention "DOCA Telemetry Exporter" or "doca_telemetry_exporter_*" — typical implicit phrasings include "publishing counters from my DOCA app", "BAD_STATE when I report an event", "consumer/DTS sees nothing but my report succeeded", "how do I export NetFlow/IPFIX records", or "should I link the exporter or the telemetry service". Refuse and route elsewhere for the receiving DOCA Telemetry Service (DTS), plain stdout logging via doca_log, or real-time event subscription back into the app via doca-comch — those belong to other skills.
Created by nvidia
Use this skill when the user is invoking `doca_telemetry_utils` on a host with DOCA installed — discovering the diagnostic-counter schema, translating counter names to binary Data IDs, validating per-device counter support before committing a DOCA Telemetry exporter config, or reverse-resolving a captured Data ID. Trigger even when the user does not explicitly mention "doca_telemetry_utils" or "Data ID" — typical implicit phrasings include "my exporter ships but the collector sees nothing", "this metric silently drops downstream", "which counters does this BlueField expose", "translate this 0x... back to a counter name", "what do node / pcie_index / depth mean here", or "is this counter supported on this device before I commit it". Refuse and route elsewhere for developer-side collector / exporter library programming, DTS deployment, or DOCA install / repair — those belong to doca-telemetry, doca-public-knowledge-map, and doca-setup.
Created by nvidia
Use this skill when the user is contemplating a DOCA upgrade or downgrade — moving a host to a newer DOCA release, refreshing the BlueField BFB, bumping the NGC DOCA container tag, or rolling back. The discipline is detect → report → ASK → only-then guided upgrade: detect what is installed, discover what newer release exists, report the gap, then STOP and ask for explicit confirmation — never upgrade automatically. Trigger even without the word "upgrade": "is there a newer DOCA", "should I move to the next release", "I want the latest features", "my component is being deprecated, what now", or "roll me back". Route elsewhere for version detection (doca-version), first-time install (doca-setup), any hardware/firmware/reboot step (doca-hardware-safety), and public-docs / sunset routing (doca-public-knowledge-map).
Created by nvidia
Use this skill when the user is doing hands-on DOCA UROM library work from the host side — wiring doca-urom under an HPC / UCX / MPI stack to OFFLOAD remote memory operations (puts, gets, atomics, collectives) onto a BlueField DPU, creating a UROM Service context (doca_urom_service_*) and Worker contexts (doca_urom_worker_*) that run plugins on the DPU, discovering plugins via doca_urom_service_get_plugins_list, progressing completions, or debugging DOCA_ERROR_* from a doca_urom_* call. Trigger even without "DOCA UROM": "MPI all-reduce burning host CPU", "push UCX traffic onto the BlueField", "first doca_urom call returns NOT_PERMITTED", or "host library and DPU service look out of sync". Route elsewhere for UROM Service deployment on the DPU side, MPI / UCX collective algorithm design, and RDMA / RoCE / IB substrate bring-up.
Created by nvidia
Operate the DOCA UROM Service container on BlueField Arm for remote memory operations (puts, gets, atomics, collectives) enqueued by a paired host using `doca-urom`: pull the NGC image, choose the UCX component, size queues, configure Comch pairing, and align host and service versions. SECURITY: the service has no standalone access control; Comch pairing and RDMA permissions are the boundary. Pair only intended hosts, expose least-privilege memory regions, and verify both views before start. Trigger for slow UCX collectives, unexpected NOT_PERMITTED, or missing completions. Do not use for host application code, MPI/UCX integration design, or DOCA install.
Created by nvidia
Use this skill when the user is dropping below the higher-level DOCA libraries (doca-rdma / doca-eth / doca-rmax) into the raw-verbs escape hatch — managing QP / CQ / PD / MR / SRQ / AH / CC-group / Ethernet-SQ-RQ primitives inside DOCA Core, porting libibverbs code into the DOCA Core model, capability-querying a specific verb / opcode / WR flag / QP attribute via doca_verbs_query_device, or debugging DOCA_ERROR_* from doca_verbs_* calls. Trigger even when the user does not say "doca-verbs" — implicit phrasings include "raw QP attribute the task API doesn't expose", "keep my ibv_* code next to doca_* on the same QP", "IO_FAILED on WR submit", "QP state transition rejected", "attach a congestion- control group", or "porting my libibverbs code". The skill's first job is to route MOST users back UP to the higher-level library. Refuse and route elsewhere for general doca-rdma / doca-eth / doca-rmax workloads, DOCA install, Core internals, and general libibverbs theory — those belong to other skills.
Created by nvidia
Use this skill when the user is doing DOCA version handling — detecting the installed release, validating the four-way match across pkg-config doca-common, applications/VERSION, doca_caps --version, and bfver/mlnx-release on BlueField, reasoning about NGC container tags, looking up whether a capability is on the installed release, or diagnosing build-vs-runtime drift. Trigger even when the user does not explicitly say "DOCA version" or "four-way match" — typical implicit phrasings include "program built but does nothing on the wire", "undefined reference to a symbol the docs claim exists", "DOCA_ERROR_NOT_SUPPORTED at runtime", "counter didn't increment", "what does `latest` mean for this tag", or "is my LTS still supported". Refuse and route elsewhere for installing or choosing DOCA packages (doca-setup), per-library API/capability questions (matching library skill), the cross-library DOCA_ERROR_* taxonomy (doca-programming-guide), or the general debug ladder (doca-debug) — those belong to other skills.
Created by steipete
Domain/DNS ops across Cloudflare, DNSimple, Namecheap for Peter. Use for onboarding zones to Cloudflare, flipping nameservers, setting redirects (Page Rules/Rulesets/Workers), updating redirect-worker mappings, and verifying DNS/HTTP. Source of truth: ~/Projects/manager.
Created by nvidia
Validate that a Dynamo deployment's NIXL/UCX/NCCL interconnect is ready for disaggregated serving over RDMA/NVLink. Use after recipe-runner brings a deployment up (especially disagg/multi-node) to confirm the KV transport is correct; use troubleshoot for diagnosing already-failed pods.
Created by nvidia
Select, validate, patch, and deploy existing NVIDIA Dynamo Kubernetes recipes. Use for model/backend/GPU/deployment-mode recipe bring-up; use router-starter for router-only mode work and troubleshoot for broken deployments.
Created by nvidia
Start or patch Dynamo router modes and run router endpoint smoke checks. Use for round-robin, KV-aware, least-loaded, or device-aware routing setup; use recipe-runner for recipe deployment and troubleshoot for failure diagnosis.
Created by nvidia
Diagnose failed or unhealthy Dynamo deployments. Use when pods, model-cache jobs, PVCs, workers, frontend/router health, endpoints, or benchmark jobs fail; use recipe-runner/router-starter before this for normal bring-up.
Created by nvidia
Create and validate Earth2Studio data source wrappers (DataSource, ForecastSource, DataFrameSource, ForecastFrameSource) from remote stores. Do NOT use for fetching data with existing sources, model inference, or installation tasks.
Created by nvidia
Create Earth2Studio diagnostic model wrappers for single-step data transformations, including simple derived diagnostics, packaged AutoModel diagnostics, and generative or diffusion diagnostics. Do NOT use for prognostic time-stepping models, data sources, or installation.
Created by nvidia
Create Earth2Studio prognostic (time-stepping forecast) model wrappers. Do NOT use for diagnostic models, data sources, or installation.
Created by nvidia
Fetch weather/climate data via Earth2Studio data sources for specific variables and times. Do NOT use for inference pipelines, model discovery, or installation.
Created by nvidia
Build deterministic forecast scripts with Earth2Studio (model, data source, IO, inference). Do NOT use for ensemble, diagnostics, data-only fetch, or install.
Created by nvidia
Find Earth2Studio models, data sources, and examples for a weather/climate use case. Do NOT use for writing inference code, downloading data, or installation.
Created by nvidia
Guide installing Earth2Studio via uv or pip, selecting model extras, and configuring the environment. Do NOT use for writing inference code, choosing models, or PhysicsNeMo questions.
Created by steipete
Control Eight Sleep pods (status, temperature, alarms, schedules).
Created by heygen-com
Add captions or subtitles to an existing single-subject talking-head video without editing the footage. Use for plain verbatim captions, cinematic captions embedded behind the subject, VFX captions, “炸/特效/酷炫字幕,” or a named identity from the 35-style catalog. Route by visual identity, not by backend engine. The quiet `anchor` rail is the default; embed every word only when the user explicitly wants a fully cinematic treatment. The workflow runs locally end to end, including transcription and subject matting; split multi-shot footage before applying it.
Created by aws
Enables internet access for AWS Lambda functions deployed in VPC subnets by creating NAT Gateway infrastructure, configuring public/private subnet routing, and updating security groups. Use when a VPC-attached Lambda function cannot reach the internet.
Created by nvidia
Generate and analyze DNA sequences using NVIDIA's Evo 2 BioNeMo NIM microservice. Use for Evo2/Evo 2, DNA generation, genomic sequence generation, hosted generation, local Docker deployment, local forward passes, layer outputs, logits, sampled probabilities, and BioNeMo NIM workflows.
Created by aws
Full inventory and audit of AWS Glue Data Catalog assets across S3 Tables, Redshift-federated, and remote Iceberg catalogs. Triggers on: inventory the catalog, audit databases, list all tables, catalog overview, data landscape, enumerate catalogs, data inventory, search the catalog. Do NOT use for finding specific data (use finding-data-lake-assets), running queries (use querying-data-lake), or creating tables (use creating-data-lake-table).
Created by aws
Exports Amazon RDS or Aurora database snapshots to Amazon S3 in Apache Parquet format for analytics, backup, or data migration. Handles snapshot selection or creation, IAM role setup, KMS encryption, S3 bucket preparation, export task execution, progress monitoring, and data verification. Use when exporting RDS/Aurora data to S3 for Athena, Glue, or Redshift Spectrum consumption.
Created by heygen-com
Turn arbitrary text — an article, notes, a topic, a brief — into a faceless explainer video: there is no site or footage to capture, so the visuals are invented per scene (typography, abstract graphics, diagrams, data-viz). Use for topic explainers, concept breakdowns, how-tos, listicles. Not a video built from a website (/product-launch-video — promo or tour). Unclear → /hyperframes.
Created by heygen-com
Import Figma content into a HyperFrames composition — rendered assets, brand tokens, components, storyboard sections → reconstructed motion (frames read as states, not slides) (REST/CLI), connector-assisted motion when available, and shaders from a connector or native export. Use when the user pastes a figma.com link or asks to bring a Figma design, frame, logo, brand, or animation into a video/composition.
Created by aws
Resolve data lake and lakehouse asset references across Glue Data Catalog, S3, S3 Tables, and Redshift. Triggers on: find the table, where is our data, which table has, locate dataset, find data for, search catalog, what tables match, Redshift table, lakehouse table, data lake table, warehouse table, reverse lookup S3 path. Do NOT use for: full catalog audits (use exploring-data-catalog), running queries (use querying-data-lake), creating tables (use creating-data-lake-table).
Created by steipete
Reorder Foodora orders + track ETA/status with ordercli. Never confirm without explicit user approval. Triggers: order food, reorder, track ETA.
Created by nvidia
Run BOP datasets and assess FoundationPose pose metrics
Created by nvidia
Install and repair the FoundationPose perception pipeline
Created by nvidia
Use this skill to check or change this machine's NVIDIA display and GPU settings, such as resolution, refresh rate, V-Sync, G-SYNC, brightness, color, and GPU performance.
Created by steipete
Gemini CLI for one-shot Q&A, summaries, and generation.
Created by heygen-com
Author or edit a custom HyperFrames composition when no specialized workflow fits, or when BRIEF.md sets flow: companion. Use for longer or multi-scene pieces, brand and sizzle reels, montages, static loops, static title cards, footage remixes, and freeform builds. Use motion-graphics instead for a short unnarrated motion-first unit, including an animated title. Route fresh creation through hyperframes before using this skill.
Created by nvidia
Generate novel drug-like molecules using the GenMol NIM microservice. Use for de novo generation, scaffold decoration, motif extension, lead optimization, SAFE notation, QED or LogP ranking, hosted NVIDIA API calls, or local Docker deployment. GenMol takes SAFE notation in the smiles field, not ordinary SMILES.
Created by steipete
Search GIF providers with CLI/TUI, download results, and extract stills/sheets.
Created by openclaw
Search local OpenClaw issue and PR history before live GitHub triage
Created by steipete
Interact with GitHub using the `gh` CLI. Use `gh issue`, `gh pr`, `gh run`, and `gh api` for issues, PRs, CI runs, and advanced queries.
Created by zai-org
Convert a PDF (research paper, report, or any document) into a polished multi-slide HTML presentation with a structured outline JSON and summary markdown. Tr...
Created by zai-org
Convert a PDF (research paper, technical report, or project document) into a beautiful single-page academic/project website with a structured outline JSON. T...
Created by zai-org
股票分析与涨跌预测分析。 在用户表达分析、判断或预测意图时触发,如“分析一下腾讯”、“0700最近走势如何”、“XX能不能买”、“预测一下后续走势”、“生成一份分析报告”等; 支持港股、A股、美股,整合多源数据(包括新闻、基本面、技术面、资金流及宏观信息)进行多维综合分析,输出图文结合、包含可视化图表的结构化分析...
Created by zai-org
Build a complete, production-ready full-stack web application from PRD documents, prototype images, and resource files. Handles the entire pipeline: system d...
Created by steipete
Google Workspace CLI for Gmail, Calendar, Drive, Contacts, Sheets, and Docs.
Created by steipete
Query Google Places API (New) via the goplaces CLI for text search, place details, resolve, and reviews. Use for human-friendly place lookup or JSON output for scripts.
Created by openclaw
Search local Granola notes and transcripts
Created by nvidia
Use for non-failing HoloHub app work with ./holohub: scaffold, build, run, test, visual evidence, lint, and flow benchmarking.
Created by nvidia
Use when a concrete ./holohub command fails, hangs, regresses, or returns wrong output and needs reproducible diagnosis and verification.
Created by nvidia
Use for reusable Holoscan Module work with ./holohub: scaffold, tests, editable install, DEB/WHEEL packaging, and clean-consumer proof.
Created by nvidia
Install Holoscan SDK v4.3+ via Conda in a CUDA 13 environment. Use for Conda installs; redirect CUDA 12 hosts to container/wheel.
Created by nvidia
Install Holoscan SDK via the NGC Docker container. Use for container-based installs; not for native apt/pip/Conda installs.
Created by nvidia
Install Holoscan SDK natively on Ubuntu via apt. Use for C++ installs on Ubuntu; pair with /holoscan-install-wheel for Python.
Created by nvidia
Build Holoscan SDK from source via the in-tree ./run script. Use only when published packages don't meet the user's needs.
Created by nvidia
Install Holoscan SDK Python wheel via pip into a venv. Use for Python installs; not for native C++/apt or Conda installs.
Created by nvidia
Guides Holoscan SDK installation: inspects the host, assesses platform compatibility, recommends an install method, and delegates to the matching install skill.
Created by nvidia
Discover and run Holoscan Sensor Bridge example applications on a connected devkit. Filters available apps by the user's platform, HSB software version, board type, and sensors. Supports timed execution, failure analysis, code-edit suggestions, and iterative re-runs.
Created by nvidia
Flash the FPGA on an HSB board connected to an NVIDIA devkit. Supports HSB Lattice boards (FPGA versions 2407, 2412, 2507, 2510) and Leopard Imaging VB1940 "all-in-one" cameras (FPGA versions 2507, 2510). Uses release-specific YAML manifests and board-type-specific program commands. Lattice and VB1940 commands must never be mixed.
Created by nvidia
Create or explain fixed-format HSB FPGA_top.sv wrappers from validated HOLOLINK_def.svh files. Do not use for def generation or validation.
Created by nvidia
Generate, validate, compare, or explain HSB HOLOLINK_def.svh macros. Do not use for FPGA_top.sv wrappers or packetizer-only derivation. Generation runs bundled Python scripts locally through shell commands and writes validated .svh output files after user-confirmed paths.
Created by nvidia
Choose or explain HSB Sensor RX packetizer fields for HOLOLINK_def.svh. Do not use for full defs, validation, or runtime APB programming.
Created by nvidia
Clone the latest NVIDIA Holoscan Sensor Bridge repo, ask which supported devkit is being used, configure the host per platform, build the correct demo container, run it, and verify HSB connectivity by pinging 192.168.0.2. Use for Holoscan Sensor Bridge setup, build, container launch, and first-connectivity bring-up.
Created by nvidia
Execute QA test plans on Holoscan Sensor Bridge hardware. Reads a user-provided test document, filters tests by the user's setup, determines which tests can run automatically, executes them with pass/fail evaluation, and produces a structured test results report.
Created by huggingface
Hugging Face Hub CLI (`hf`) for downloading, uploading, and managing models, datasets, spaces, buckets, repos, papers, jobs, and more on the Hugging Face Hub...
Created by huggingface
Use this skill for Hugging Face Dataset Viewer API workflows that fetch subset/split metadata, paginate rows, search text, apply filters, download parquet UR...
Created by huggingface
Build Gradio web UIs and demos in Python. Use when creating or editing Gradio apps, components, event listeners, layouts, or chatbots.
Created by huggingface
Use to select models to run locally with llama.cpp and GGUF on CPU, Mac Metal, CUDA, or ROCm. Covers finding GGUFs, quant selection, running servers, exact G...
Created by huggingface
Build and publish a Gradio demo on Hugging Face Spaces for a user-provided LoRA. Use when someone asks to create, generate, ship, or publish a Space, demo, G...
Created by huggingface
Hugging Face CLI to estimate the required memory to load Safetensors or GGUF model weights for inference from the Hugging Face Hub
Created by huggingface
Look up and read Hugging Face paper pages in markdown, and use the papers API for structured metadata such as authors, linked models/datasets/spaces, Github...
Created by huggingface
Build, deploy, and maintain applications on Hugging Face Spaces — Gradio / Docker / Static SDKs, ZeroGPU and dedicated hardware, model loading, debugging, bu...
Created by huggingface
AI demos and GPU compute with Gradio Spaces and Hugging Face Spaces ZeroGPU. Use when writing or reviewing code that uses `@spaces.GPU`, configuring `python_...
Created by heygen-com
Mandatory entry point: read this first for any request to make, create, edit, animate, or render a video, animation, or motion graphic, including a promo, explainer, captioned clip, title card, overlay, slideshow or interactive deck, Remotion port, or any HyperFrames HTML composition. Also use it to inspect, diagnose, validate, preview, publish, or batch-render an existing HyperFrames project. Inputs may be a website URL, GitHub PR, Figma design or URL, text or brief, existing footage, or music. It resumes project state, captures intent when applicable, selects and installs the owning workflow, and routes domain capabilities. HyperFrames is the default output framework unless the user explicitly chooses another framework for the deliverable or asks only to record a browser session.
Created by heygen-com
Author seek-safe video keyframes
Created by heygen-com
Audio and media assets for HyperFrames compositions, produced by one shared audio engine (`scripts/audio.mjs`) — multi-provider TTS (HeyGen / ElevenLabs / Ko...
Created by heygen-com
All animation knowledge for HyperFrames — atomic motion rules, multi-phase scene blueprints, scene transitions, broader motion-design techniques, AND the seven runtime adapters (GSAP default, plus Lottie, Three.js, Anime.js, CSS keyframes, Web Animations API, TypeGPU). Use for any motion or animation task: pick 2-4 rules and compose, or load a blueprint, or look up runtime-specific API (e.g. GSAP eases / Lottie player / Three.js mixer). Also covers auditing an existing composition's choreography (animation map) and 24 named text-animation effects. HyperFrames-native: single paused timeline, seek-safe, deterministic.
Created by heygen-com
Use when audio already placed in a HyperFrames composition needs to be mixed: fade-in/fade-out, crossfade, track gain or volume, volume automation, ducking, a music bed that fights a voiceover (voiceover carve), effects on a track (EQ, compressor, limiter, gate, saturation, delay, reverb, chorus, phaser, bitcrush), automation envelopes drawn on a track's volume or any effect parameter, or one submix bus carrying a chain, a fader and an automation clock for several tracks at once (`<hf-audio-group>`). Don't use for sourcing or generating audio — finding BGM, SFX, or making a voiceover is `/media-use`. Don't use for clip timing or track layout, which is `/hyperframes-core`.
Created by heygen-com
Use the HyperFrames CLI development loop: init, add, catalog, capture, lint, check, snapshot, compare, grade-compare, preview, play, present, beats, keyframes, single or batch render, publish, cloud, cloudrun, feedback, lambda, doctor, browser, info, upgrade, skills, compositions, timeline, history, clean, docs, benchmark, telemetry, transcribe, auth, tts, and remove-background. Also use when diagnosing build or render failures. validate, inspect, and layout are deprecated aliases; use check. Covers local, HeyGen-hosted cloud, AWS Lambda, and Google Cloud Run rendering.
Created by heygen-com
The HyperFrames composition contract — build one renderable project. Use for composition structure, the `data-*` timing attributes, `class="clip"`, tracks, sub-compositions, variables, framework-owned media playback, deterministic-render rules, and validation. Read before writing composition HTML.
Created by heygen-com
Non-animation creative direction for HyperFrames videos. Use for design spec (frame.md / design.md) handling, palettes, typography, narration, beat planning, audio-reactive visuals, composition patterns, and brand / style decisions. For atomic motion patterns and scene blueprints, use `hyperframes-animation`.
Created by heygen-com
Search, install, and wire registry blocks and components into HyperFrames compositions. Use BEFORE hand-building any named visual — whenever a brief, a user, or a storyboard names a look, effect, treatment, or transition such as CRT scanlines, glitch, chromatic aberration, film grain, a shimmer sweep, a chart, a code or terminal window, a map, or a confetti burst — because roughly 400 hosted items already cover many of them and the search ranks all of them with nothing installed, no project, and no account. Also use when running hyperframes add or hyperframes catalog, installing one item or every block matching a tag, wiring an installed item into index.html, or working with hyperframes.json. Covers discovery, install locations, block sub-composition wiring, component snippet merging, and authoring a new block or component to contribute upstream (idea → scaffold → validate → PR).
Created by heygen-com
Use when working with a person on a HyperFrames project in Studio: first, whether their message asks for a change at all (questions, loose ideas and "don't change anything" get an answer and a plan, not an edit); for a new film, the plan, storyboard and build order that the HyperFrames launch films follow; and how the timeline should be laid out so it reads well (one caption track, one element kind per track, every scene a sub-composition) and where captions and key content may sit (safe zones). Don't use for how to perform an individual edit (split, trim, retime, volume, copy, swap): that is `creator-editing-recipes.md` in `/hyperframes-core`.
Created by nvidia
Serve and visually inspect a converted LeRobot dataset in the browser. Use for videos and state/action timelines; do not use for raw workflow HDF5 or incomplete conversion output.
Created by nvidia
Orient users to the i4h workflow runtime and route them to the correct stage skill. Use for architecture, support, or where-to-start questions; do not execute a known stage.
Created by nvidia
Create a minimal blank Workflow scaffold with a Scene containing ground and light plus an idle run mode. Use for fast new Workflow scaffolding.
Created by nvidia
Grade or filter workflow HDF5 episodes with an OpenAI-compatible vision model. Use for visual success labels; do not use for replay, policy evaluation, or recordings without frames.
Created by nvidia
Convert workflow HDF5 recordings to LeRobot datasets for training or browser inspection. Use for conversion; do not use for replay, augmentation, or raw-data repair.
Created by nvidia
Expand workflow HDF5 demonstrations with action jitter, optionally scoped to node segments. Use for synthetic variants; do not use to collect data, alter state directly, or generate new images.
Created by nvidia
Replay a workflow HDF5 episode through its original Scene. Use for visual trajectory and recording verification; do not use for policy evaluation or LeRobot data.
Created by nvidia
Record demonstrations through a workflow's teleop Task into workflow HDF5. Use for keyboard, leader, VR, or bus input; do not use for policy evaluation or autonomous rule-based Tasks.
Created by nvidia
Run the maintained workflow data-to-policy pipeline from recording through checkpoint validation. Use for full end-to-end requests; do not use for one individual stage.
Created by nvidia
Fine-tune a manifest-backed GR00T or openpi remote Task on compatible LeRobot data. Use for training; do not use for inference-only Tasks or checkpoint rollout.
Created by nvidia
Edit an existing workflow Scene or task contract. Use for assets, layout, cameras, randomization, task text, or success rules; do not use to create a new workflow.
Created by nvidia
Preflight and set up the root-level workflow runtime. Use for installation, missing component environments, or third-party failures; do not use for rollout validation.
Created by nvidia
Run the root-level workflow runtime policy or rule-based rollouts and verify simulator success. Use for evaluation, checkpoints, or local controllers; do not use for replay or dataset annotation.
Created by steipete
iMessage/SMS CLI for listing chats, history, watch, and sending.
Created by aws
Import data into the AWS data lake from S3 files, local uploads, JDBC databases (Oracle, SQL Server, PostgreSQL, MySQL, RDS, Aurora), Amazon Redshift, Snowflake, BigQuery, DynamoDB, or existing Glue catalog tables (migration). Default target is S3 Tables; standard Iceberg on a general purpose bucket is supported where S3 Tables is not adopted. Handles one-time loads, recurring pipelines, migrations. Triggers on: import data, load data, ingest, sync database, migrate table, move data to AWS, set up pipeline, ETL, pull from Snowflake, query BigQuery into S3, export DynamoDB, CTAS, convert to Iceberg. Do NOT use for setting up or troubleshooting Glue connections (use connecting-to-data-source), creating empty tables (use creating-data-lake-table), running queries (use querying-data-lake), finding tables by fuzzy name (use finding-data-lake-assets), catalog audit (use exploring-data-catalog), or SaaS platforms like Salesforce, ServiceNow, SAP, MongoDB, Kafka.
Created by steipete
Use when profiling native macOS or iOS apps with Instruments/xctrace. Covers correct binary selection, CLI arguments, exports, and common gotchas.
Created by aws
Run a deep root-cause investigation on the AWS DevOps Agent. Use when the user describes an incident, alarm, outage, or unexplained behavior — keywords like "5xx", "503", "OOM", "latency spike", "deployment failure", "rollback", "sev1", "investigate", "root cause", "debug", "alarm fired", "service down". Polls and streams progress, then surfaces recommendations.
Created by nvidia
Run and validate an end-to-end Mission Control showcase with a locally installed Isaac Sim launched in its GUI window, driven through the isaac-sim-remote Python server, with Nova Carter SIL. Use for demos, showcase replays, Mission Control driving a simulated robot, or diagnosing the integrated small-warehouse scenario. Detect existing Isaac Sim installations without modifying them, automatically select a usable runtime without prompting whenever compatibility can be confirmed, and delegate requested installation or version changes to isaac-sim-installation. Defaults to a canonical Isaac 6.1 warehouse and deterministic circular route when the user does not specify another scenario.
Created by nvidia
Use when you need to rebuild the BSP overlay — DT, OOT modules, or kernel — from changes under bsp_sources/. Triggers: build bsp, rebuild dtb, rebuild kernel.
Created by nvidia
Enable MIPI/GMSL camera sensors on a Jetson Thor or Orin custom carrier by rendering a kernel-DT overlay from the in-tree sensor DTSI. Do NOT use for UPHY lane allocation or ODMDATA edits.
Created by nvidia
Use to lock/cap Jetson CPU/GPU/EMC clocks, toggle EMC/CPU DVFS, or change cpufreq governors by editing BPMP DTB and nvpower.sh pre-flash. Do NOT use for live tuning or nvpmodel edits.
Created by nvidia
Use when you need to add, remove, edit, list, or change the boot default of an nvfancontrol fan profile on a Jetson/Tegra (Orin, Thor) target. Triggers: edit fan profile, tune fan curve.
Created by nvidia
Enable Jetson Thor 25G/10G/1G MGBE QSFP via kernel-DT overlay. Do NOT use for UPHY lane allocation or ODMDATA edits.
Created by nvidia
Use when you need to add, remove, edit, list, or change the boot default of an nvpmodel power mode on a Jetson/Tegra (Orin, Thor) target. Triggers: edit power mode, tune frequency caps.
Created by nvidia
Per-controller PCIe enable / disable / lanes / link-speed for a Jetson Thor or Orin custom carrier via ODMDATA + kernel-DT overlay. Do NOT use for UPHY lane allocation or endpoint-mode bring-up.
Created by nvidia
Per-pin SFIO / direction / initial-state configurator for a Jetson Orin or Thor custom carrier from the pinmux XLSM. Do NOT use for kernel-DT overlay or ODMDATA edits.
Created by nvidia
Configure Jetson UPHY lane allocation (uphy0/uphy1-config) on Orin/Thor custom carriers. Do NOT use for pinmux or PCIe-only edits.
Created by nvidia
Enable/disable Jetson USB2/USB3 SS ports via kernel-DT overlay. Do NOT use for UPHY lane allocation or ODMDATA edits.
Created by nvidia
Bootstrap a custom carrier board by forking carrier files and scaffolding a DT overlay from the reference devkit. Use after jetson-init-source; not for module-level or kernel-DTB changes.
Created by nvidia
Read-only Jetson health snapshot for identity, memory, GPU, thermal, power, storage, services, and top processes.
Created by nvidia
Download NVIDIA Jetson Linux BSP artifacts (BSP tarball, sample rootfs, public_sources, x-tools, guides) for the active target. Use for Auto Setup; not for extraction or profile edits.
Created by nvidia
Use to flash a promoted BSP image to a Jetson DUT in RCM mode via flash.sh or l4t_initrd_flash.sh. Do NOT use for BSP customization, image promotion, or carrier derivation.
Created by nvidia
Build a per-target knowledge-base markdown next to the active profile by walking the BSP root and source tree. Use after init-image / init-source; not for editing profile fields.
Created by nvidia
Plan and apply safe Jetson headless-mode changes to reclaim GUI and daemon memory.
Created by nvidia
Pick the serving stack and per-runtime memory flags (vLLM, SGLang, llama.cpp, TensorRT Edge-LLM) for an LLM/VLM workload on any NVIDIA Jetson.
Created by nvidia
Extract Jetson Linux + sample-rootfs tarballs and run apply_binaries.sh for the active target, then record bsp_image in the profile. Use after jetson-init-target; not for source-tree setup.
Created by nvidia
Set up the BSP source workspace: Linux_for_Tegra overlay tracker, bsp_sources, Crosstool-NG toolchain. Use after jetson-init-image; not for fetching inputs.
Created by nvidia
Author a new Jetson target-platform profile (reference_devkit + optional custom_carrier) and update the active pointer. Use to create a target; not for switching existing profiles.
Created by nvidia
Bind pre-downloaded Jetson reference docs (developer guide, design guide, pinmux, schematics) into the active profile documents block. Use after staging docs on disk; not for downloading.
Created by nvidia
Benchmark Jetson LLM/VLM serving performance across vLLM, llama.cpp, and Ollama with structured JSON output.
Created by nvidia
Stand up vLLM or SGLang serving on Jetson, using upstream vLLM on Thor and Orin JetPack 7.2+, and NVIDIA-AI-IOT vLLM on older Orin.
Created by nvidia
Measure Jetson DRAM/NvMap usage and verify before/after memory reclamation with live audit data.
Created by nvidia
Reclaim DRAM by disabling unused subsystems across MB1 BCT, MB2 BCT, kernel reserved-memory, and SWIOTLB. Use for headless or no-camera Jetson deployments; not for CPU/GPU frequency tuning.
Created by nvidia
Pick Jetson-compatible containers, vLLM runtime images, and Jetson AI Lab PyPI indexes; maps Orin SM 8.7 vs Thor SM 11.0 and JetPack-specific package choices.
Created by nvidia
Use when you need to print Jetson BSP info (L4T version, board configs, rootfs state) from a Linux_for_Tegra root on the host PC. This is an example skill.
Created by nvidia
Use when you need to print Jetson device info (module model, L4T version, kernel, OS version, current power mode) from a running Jetson target. This is an example skill.
Created by nvidia
Use to promote overlay files and built artifacts into the staged BSP image. Do NOT use to flash or build. Triggers: promote bsp image.
Created by nvidia
Entry skill for Jetson / IGX BSP customization. Asks one core click-to-select setup questionnaire and passes prefilled answers to downstream setup skills.
Created by nvidia
Switch the active Jetson target-platform pointer to an existing profile YAML. Use before customize/build/flash to change target; not for authoring profiles — use jetson-init-target instead.
Created by nvidia
Add EAGLE-3 or draft-model speculative decoding to a Jetson vLLM server when TPOT is the bottleneck.
Created by nvidia
Use after jetson-flash-image to run static BSP checks, on-target smoke/regression tests on a flashed DUT, or both. Not for build or flash steps. Triggers: validate bsp, on-target validation.
Created by nvidia
Use when measuring Jetson Video Codec SDK or PyNvVideoCodec encode/decode throughput, comparing presets or surfaces, testing codec-worker capacity with authenticated samples and user media, or producing a clearly labeled documentation-derived planning estimate when representative media is absent. Also use for a video request limited to PSNR or SSIM, to apply the terminal scope response.
Created by nvidia
Use when Jetson codec, profile, chroma, bit-depth, dimension, engine-count, or operational support must be reconciled from live APIs, authenticated NVIDIA samples, and NVIDIA documentation; also applies the content-DRM scope.
Created by nvidia
Use when planning, executing, and independently validating Jetson Video Codec SDK or PyNvVideoCodec encode/decode, transcode, segmentation, container decode, AV1, or concise acceptance workflows.
Created by nvidia
Use when turning a Jetson encoder use case into one surface-neutral recipe with native Video Codec SDK and PyNvVideoCodec projections.
Created by nvidia
Use when installing, repairing, reusing, inspecting, or verifying readiness of the native NVIDIA Video Codec SDK or PyNvVideoCodec on Jetson, including the one-frame encode/decode smoke test with official samples, and when interpreting what those readiness results, including CPU-buffer and device-memory sample modes, do and do not establish.
Created by nvidia
Convert a grover_base checkpoint (encoder-only or encoder + vocab heads) into a hybrid checkpoint by adding a randomly-initialized cMIM decoder + latent_dist, then continue pretraining on the user's corpus as hybrid (vocab + contrast). Effectively kermt-continue-pretrain with a one-time ckpt-conversion step prepended.
Created by nvidia
Continue KERMT pretraining on a custom SMILES corpus with a grover_base, cmim, or hybrid checkpoint. Use a local checkpoint or optionally download a pinned Hugging Face model bundle using HF_TOKEN if configured. Run containerized training and write model bundles, prepared data, logs, and checkpoints to user-selected host directories.
Created by nvidia
Extract per-molecule embeddings from any encoder-bearing KERMT checkpoint. Use a local checkpoint or optionally download a pinned Hugging Face model bundle using HF_TOKEN if configured. Run containerized embedding extraction and write model bundles, per-readout .npy embeddings, canonical SMILES, and validity arrays to user-selected host directories.
Created by nvidia
Finetune a pretrained KERMT encoder on a labeled CSV. Validate the checkpoint and data, prepare features, and run containerized training. Use a local checkpoint or optionally download a pinned Hugging Face model bundle using HF_TOKEN if configured. Write model bundles, prepared data, logs, and trained models to user-selected host directories.
Created by nvidia
Run predictions with a finetuned KERMT checkpoint on a SMILES-only CSV. The skill validates that the input ckpt has task FFN heads (refuses pretrain ckpts with a redirect to kermt-finetune), validates the CSV, prepares the data (clean + rdkit_2d features), then launches main.py predict inside the kermt container (blocking, minutes-scale).
Created by nvidia
Check progress for a detached KERMT run (pretrain, finetune, or any kermt_run_detached invocation). Reads run.json, queries docker for container state, tails the pretrain/finetune log, and parses progress lines (epoch, step, val loss).
Created by nvidia
Pretrain a fresh KERMT model from scratch on a user-provided corpus. Builds a new vocabulary from the corpus, instantiates the model architecture from defaults, and launches pretrain_ddp.py inside the kermt container (detached for long runs). Unlike kermt-continue-pretrain, no starting checkpoint is loaded — the model is randomly initialized.
Created by nvidia
Bootstrap the KERMT agent environment — verify host docker + nvidia-container-toolkit, build the kermt:latest image from the repo's Dockerfile if it doesn't yet exist, and run a GPU smoke test inside the container. Every other kermt-* skill depends on this; invoke it first.
Created by mvanhorn
Research any topic across Reddit, X, YouTube, TikTok, Instagram, Hacker News, Polymarket, GitHub, Perplexity, and more. AI agent scores by upvotes, likes, and real money. Also triggered by 'last30'.
Created by mvanhorn
Research any topic across Reddit, X, YouTube, TikTok, Instagram, Hacker News, Polymarket, GitHub, Perplexity, and more. AI agent scores by upvotes, likes, an...
Created by nvidia
Playbook for launching, monitoring, stopping, and debugging NeMo-RL recipes on a Kubernetes cluster via the nrl-k8s CLI. Covers ephemeral vs long-lived RayCluster modes, iterating on runs, and debugging hung or failed training jobs.
Created by aws
Migrates vibe-coded web applications to AWS. Handles the full workflow from analysis through migration to deployment, producing deployable AWS Blocks infrastructure code. Supports full-stack apps built with vibe-coding platforms (Lovable, Bolt.new, Replit) and frontend web applications and websites: React, Vue, Angular, Next.js, Nuxt, Astro, SvelteKit, Gatsby, Vite, Svelte, Solid, Docusaurus, and others (static sites, SPAs, and SSR frameworks with static export). Triggers on: launch with AWS, launch on AWS, deploy to AWS, migrate to AWS, host my app on AWS, move my app to AWS, transfer my app to AWS. Activates when the user wants to migrate a vibe-coded app or frontend web app to AWS, even if they don't say 'migrate' explicitly.
Created by aws
Launches an EC2 instance with secure, cost-efficient defaults including AMI selection, burstable instance sizing, least-privilege IAM roles, hardened security groups, encrypted EBS volumes, and comprehensive tagging. Use when deploying new EC2 instances following AWS best practices for security and cost optimization.
Created by steipete
Search for places (restaurants, cafes, etc.) via Google Places API proxy on localhost.
Created by aws
Operates Amazon MSK Provisioned clusters (Standard and Express brokers). MUST be used for ANY MSK Provisioned task — do not rely on training data for topics covered here, since Standard and Express emit different metrics and follow different patching models that training data routinely conflates. Covers performance, consumer lag, storage, and traffic shaping diagnosis; sizing and choosing Standard vs Express; Kafka client tuning; creating CloudWatch alarms, dashboards, monitoring, and cluster configurations; AND MSK maintenance, patching, version upgrades, and rolling-restart behavior. Triggers: MSK, Kafka on AWS, `kafka.*` or `express.*` instance types, AWS/Kafka CloudWatch namespace, alarms, dashboards, monitoring, consumer lag, partition replication, broker storage, MSK upgrades, patching, maintenance windows, SECURITY_PATCHING, BROKER_UPDATE, rolling restarts, unexpected broker reboots. Do NOT use for MSK Connect, MSK Serverless, or MSK Replicator.
Created by mvanhorn
Create and manage AI agent tasks via Manus API. Manus 1.5 autonomously browses the web, uses tools, and delivers complete work products. Cost-efficient Manus...
Created by mapbox
Official integration patterns for Mapbox Maps SDK on Android. Covers installation, adding markers, user location, custom data, styles, camera control, and fe...
Created by mapbox
Expert guidance on map design principles, color theory, visual hierarchy, typography, and cartographic best practices for creating effective and beautiful ma...
Created by mapbox
Patterns for visualizing data on maps including choropleth maps, heat maps, 3D visualizations, data-driven styling, and animated data. Covers layer types, co...
Created by mapbox
Expert guidance on choosing the right geospatial tool based on problem type, accuracy requirements, and performance needs
Created by mapbox
Migration guide for developers moving from Google Maps Platform to Mapbox GL JS, covering API equivalents, pattern translations, and key differences
Created by mapbox
Official integration patterns for Mapbox Maps SDK on iOS. Covers installation, adding markers, user location, custom data, styles, camera control, and featur...
Created by mapbox
Guide for migrating from MapLibre GL JS to Mapbox GL JS, covering API compatibility, token setup, style configuration, and the benefits of Mapbox's official...
Created by mapbox
Integration patterns for Mapbox MCP DevKit Server in AI coding assistants. Covers setup, style management, token management, validation workflows, and docume...
Created by mapbox
Integration patterns for Mapbox MCP Server in AI applications and agent frameworks. Covers runtime integration with pydantic-ai, mastra, LangChain, and custo...
Created by mapbox
Complete workflow for implementing Mapbox search in applications - from discovery questions to production-ready integration with best practices
Created by mapbox
Expert guidance on choosing the right Mapbox search tool and parameters for geocoding, POI search, and location discovery
Created by mapbox
Common patterns for building store locators, restaurant finders, and location-based search applications with Mapbox. Covers marker display, filtering, distan...
Created by mapbox
Common style patterns, layer configurations, and recipes for typical mapping scenarios including restaurant finders, real estate, data visualization, navigat...
Created by mapbox
Expert guidance on validating, optimizing, and ensuring quality of Mapbox styles through validation, accessibility checks, and optimization. Use when prepari...
Created by mapbox
Security best practices for Mapbox access tokens, including scope management, URL restrictions, rotation strategies, and protecting sensitive data. Use when...
Created by mapbox
Official integration patterns for Mapbox GL JS across popular web frameworks (React, Vue, Svelte, Angular). Covers setup, lifecycle management, token handlin...
Created by mapbox
Performance optimization patterns for Mapbox GL JS web applications. Covers initialization waterfalls, bundle size, rendering performance, memory management,...
Created by steipete
Convert documents and files to Markdown using markitdown. Use when converting PDF, Word (.docx), PowerPoint (.pptx), Excel (.xlsx, .xls), HTML, CSV, JSON, XML, images (with EXIF/OCR), audio (with transcription), ZIP archives, YouTube URLs, or EPubs to Markdown format for LLM processing or text analysis.
Created by nvidia
Investigate a failing GitHub Actions run or job and create a GitHub issue for the failure.
Created by nvidia
Linting and formatting for Megatron-LM. Covers running autoformat.sh, tools (ruff, black, isort, pylint, mypy), and code style rules.
Created by nvidia
How to launch distributed Megatron-LM training jobs on a SLURM cluster. Covers a minimal sbatch skeleton, environment-variable setup for torch.distributed.run, CUDA_DEVICE_MAX_CONNECTIONS rules across hardware and parallelism modes, container conventions, monitoring, and per-rank failure diagnosis.
Created by nvidia
Split a PR into multiple PRs to reduce the number of required CODEOWNERS reviewer groups.
Created by nvidia
Test system for Megatron-LM. Covers test layout, recipe YAML structure, adding and running unit and functional tests, golden values, marker filters, and CI parity.
Created by steipete
Use the mcporter CLI to list, configure, auth, and call MCP servers/tools directly (HTTP or stdio), including ad-hoc servers, config edits, and CLI/type generation.
Created by heygen-com
Agent Media OS for a HyperFrames project. Resolve BGM, SFX, image, icon, brand logo, voice, color grade, or LUT into a frozen local file or paste-ready block + ledger record (one verb, `resolve`); generate via TTS / music / image models when the catalog misses; produce voiceover, transcription, captions, and background removal through one shared audio engine; operate on media (cut / reframe / transform); and reuse assets across projects. Also use for vague feedback that real footage looks dark, flat, boring, should feel retro/camcorder/print/ASCII, needs privacy, or needs a media reveal. When the host app provides its own music or sound-effect tools, use those for music and sound effects; `resolve --type bgm|sfx` needs the heygen CLI. When `HEYGEN_API_BASE` is set, HeyGen calls go through that host with no CLI sign-in.
Created by nvidia
Exports sanitized metadata, parameters, reproducibility details, quality metrics, and optional review artifacts from Medical AI inference runs or evidence packs to MLflow. Use after inference, including NV-Generate runs; not for live training tracking, model registration, or clinical use.
Created by aws
Helps migrate self-managed Apache Kafka workloads to Amazon MSK Express. Inventories the source cluster (from IaC files, Kafka CLI output, or manual input), assesses MSK Express compatibility across topology, Kafka version, configs, auth, and quotas, produces a target Express specification (instance type, broker count, monthly cost) by filling the AWS-published MSK Sizing/Pricing workbook, and guides migration execution using MSK Replicator. Applicable when the user mentions migrating Kafka, MSK, MSK Express, Kafka migration, analyzing Kafka infrastructure, moving to MSK, moving streaming platform to MSK, streaming migration, moving streaming workloads to AWS, MSK workload compatibility, MSK cluster sizing, choosing an MSK cluster type, or MSK Replicator.
Created by aws
Guides an end-to-end data-warehouse migration to Amazon Redshift — discovery, schema/SQL/stored-procedure/macro/script conversion, data migration, validation, performance comparison, and reporting. Source-routed via `references/<source>/`; Teradata (Vantage) is the supported source; additional sources are added as their own `references/<source>/` sets. Text-only knowledge (no executable code) — the AI generates all execution at runtime. Applies when a user wants to migrate Teradata to Amazon Redshift, convert Teradata DDL/SQL/stored procedures/macros/BTEQ to Redshift/RSQL, or assess Teradata-to-Redshift migration complexity. Applies only to migrations targeting Amazon Redshift; migrations to other platforms (Snowflake, BigQuery, Databricks, etc.) are out of scope regardless of source. Does not cover general Redshift administration, performance tuning, or troubleshooting of existing Redshift clusters (no migration involved), or sources not listed under references/.
Created by steipete
Use CodexBar CLI local cost usage to summarize per-model usage for Codex or Claude, including the current (most recent) model or a full model breakdown. Trigger when asked for model-level usage/cost data from codexbar, or when you need a scriptable per-model summary from codexbar cost JSON.
Created by nvidia
Use this skill for MolMIM, NVIDIA's BioNeMo NIM microservice for small-molecule latent-space generation and optimization. Invoke for MolMIM, molecular embeddings, hidden states, latent decoding, sampling around a seed SMILES, CMA-ES guided molecule generation, QED or plogP optimization, hosted NVIDIA API calls, or local Docker deployment.
Created by heygen-com
A short, design-led motion graphic where motion is the message — kinetic typography, stat count-up, chart/data-viz hit, logo sting / brand lockup, lower-third / callout / social overlay, animated map (highlight regions, connect places, zoom to a location), animated tweet / news-article / headline, webpage / UI animation (scroll, cursor, callouts), or fusing a real image's geometry into a chart. Usually under 10s (up to ~30s), no narration or live-action subject; renders to MP4 or transparent overlay. Longer / narrated / multi-scene → /general-video. Unclear → /hyperframes.
Created by nvidia
Generate multiple sequence alignments (MSAs) for protein sequences using the ColabFold MSA-Search NIM. Use for homolog search, UniRef30/ColabFold env searches, A3M or FASTA alignments, paired MSA search for complexes, PDB70 structural templates, hosted NVIDIA API calls, or local Docker deployment. For local deployment, download the databases in parallel with aria2c and launch via NIM_MODEL_NAME (the recommended default fast path, ~14 min vs over 80 min for the built-in downloader); a plain docker run uses the slow built-in downloader.
Created by nvidia
NOTE: your protein sequence and the retrieved MSA alignment are transmitted to external NVIDIA-hosted APIs (health.api.nvidia.com) on every call. Use local NIM containers for confidential or proprietary sequences. Run a complete protein structure prediction pipeline using NVIDIA BioNeMo NIMs: search for MSA alignments with MSA-Search (ColabFold), then predict the structure with OpenFold3 using the retrieved alignments. Use this skill whenever the user wants to predict a protein structure with maximum accuracy using MSA context, run the full AlphaFold3-style pipeline, generate MSA-informed structure predictions, or improve structure prediction accuracy by providing evolutionary information. Triggers on: MSA structure prediction pipeline, structure prediction pipeline, MSA-informed prediction, OpenFold3, ColabFold MSA, AlphaFold3 pipeline, protein structure, homology search, a3m alignment, UniRef30, NIM microservice. This pipeline chains MSA-Search and OpenFold3.
Created by heygen-com
Turn a music track (an audio file, a video to pull audio from, or a track generated from a mood brief) into a beat-synced video — lyric video, slideshow, or kinetic promo. The music drives all pacing; any user-supplied images/videos are cut onto the same beat grid, and a complete video needs zero assets. Narrated pieces → the input-matched workflow (see /hyperframes). Unclear → /hyperframes.
Created by steipete
On-screen agent alert: topmost message card + pulsating screen borders via Nameplate. Use before password-manager auth prompts or whenever blocked on the human.
Created by steipete
Generate/edit images with Nano Banana Pro (Gemini 3 Pro Image). Use for image create/modify requests incl. edits. Supports text-to-image + image-to-image; 1K/2K/4K; use --input-image.
Created by steipete
Edit PDFs with natural-language instructions using the nano-pdf CLI.
Created by mvanhorn
3 images, one prompt, instant A/B/C. Nano Banana Pro's natural randomness gives you three distinct takes on any image idea — generated in parallel. Pick the...
Created by steipete
Native macOS/iOS app performance profiling via xctrace/Time Profiler and CLI-only analysis of Instruments traces. Use when asked to profile, attach, record, or analyze Instruments .trace files, find hotspots, or optimize native app performance without opening Instruments UI.
Created by nvidia
Guide for selecting and configuring distributed training strategies in NeMo AutoModel, including FSDP2, Megatron FSDP, DDP, and parallelism settings.
Created by nvidia
Configure NeMo AutoModel job launches for interactive runs, Slurm clusters, and SkyPilot cloud execution.
Created by nvidia
Guide for onboarding new model architectures into NeMo AutoModel, including architecture discovery, implementation patterns, registration, and validation.
Created by nvidia
Create and modify NeMo AutoModel training and evaluation recipes, including YAML structure, builders, and execution flow.
Created by nvidia
Use this skill when integrating NVIDIA NeMo Fabric into a consumer application, service, evaluation harness, or platform through the typed Python SDK — translating the consumer's own application, job, or deployment config into an in-memory FabricConfig, choosing the single-invocation convenience API or an explicitly started runtime, validating with plan and doctor, and consuming normalized results, artifacts, and telemetry.
Created by nvidia
Run Megatron-LM (MLM) and Megatron Bridge training with mock or real data. Covers correlation testing, available recipes, and multi-GPU examples.
Created by nvidia
Convert single-node scripts to multi-node Slurm sbatch jobs and debug common multi-node failures. Covers srun-native vs uv run torch.distributed approaches, container setup, NCCL timeouts, OOM sizing for MoE models, and interactive allocation.
Created by nvidia
Validate and use selective and full activation recompute in Megatron Bridge to reduce GPU memory usage at the cost of extra compute. Use for activation memory OOMs or regressions involving recompute_granularity, recompute_num_layers, recompute_modules, recompute_method, selective recompute, full recompute, or activation checkpointing.
Created by nvidia
Validate and use CPU offloading in Megatron Bridge, including layer-level activation offloading and fractional optimizer state offloading with HybridDeviceOptimizer.
Created by nvidia
Validate and use CUDA graph capture in Megatron Bridge, including local full-iteration graphs and Transformer Engine scoped graphs for attention, MLP, and MoE modules.
Created by nvidia
Validate and use MoE expert-parallel communication overlap in Megatron-Bridge, including overlap_moe_expert_parallel_comm, delay_wgrad_compute, and flex dispatcher backends such as DeepEP and HybridEP.
Created by nvidia
Operational guide for enabling hierarchical context parallelism in Megatron-Bridge, including config knobs, code anchors, pitfalls, and verification.
Created by nvidia
Operational guide for enabling Megatron FSDP in Megatron-Bridge, including config knobs, code anchors, pitfalls, and verification.
Created by nvidia
Techniques for reducing peak GPU memory in Megatron Bridge — expandable segments, PEFT + SP input re-gather, parallelism resizing, activation recompute, CPU offloading constraints, and common OOM fixes.
Created by nvidia
MoE expert-parallel communication overlap in Megatron Bridge. Covers dispatch/combine overlap, flex dispatcher backends, and expert wgrad scheduling.
Created by nvidia
Choose the right MoE token dispatcher (`alltoall`, DeepEP, or HybridEP) for the hardware, EP degree, and optimization stage. Summarizes patterns from DSV3, Qwen3, Qwen3-Next, and VLM bring-up work.
Created by nvidia
Representative, point-in-time MoE training playbooks by hardware and model family. Use them as candidate seeds, then revalidate the exact runtime, semantics, topology, and steady-state throughput.
Created by nvidia
Long-context MoE training guidance for Megatron Bridge. Covers CP sizing, selective recompute, dispatcher choices, and practical patterns from DSV3, Qwen3, and Qwen3-Next long-context experiments.
Created by nvidia
Evidence-gated workflow for MoE performance optimization in Megatron Bridge. Covers measurement contracts, the Three Walls framework, parallel folding, profiling, matched A/B tuning, and final validation.
Created by nvidia
Practical guidance for training MoE VLMs in Megatron Bridge. Compares FSDP and 3D-parallel approaches, using rounded lessons from Qwen3-VL, Qwen3-Next, and other multimodal experiments.
Created by nvidia
Operational guide for choosing and combining parallelism strategies in Megatron Bridge, including sizing rules, hardware topology mapping, and combined parallelism configuration.
Created by nvidia
Validate and use packed sequences and long-context training in Megatron-Bridge, including offline LLM packing, collate-time VLM packing, Energon online packing, and CP constraints.
Created by nvidia
Operational guide for enabling TP, DP, and PP communication overlap in Megatron-Bridge, including config knobs, code anchors, pitfalls, and verification.
Created by nvidia
Recommend and customize Megatron Bridge library and benchmark recipes for a user's model, GPU count, hardware, sequence length, and pretrain/SFT/PEFT goal. Use when selecting a starting recipe, comparing library and benchmark configs, resizing parallelism for a GPU allocation, or distinguishing convergence changes, semantics-preserving execution tuning, and benchmark-only shortcuts.
Created by nvidia
Resiliency features in Megatron Bridge including fault tolerance, straggler detection, in-process restart, preemption, and re-run state machine.
Created by nvidia
Use this skill when NeMo Relay is installed or imported but application-side runtime behavior is missing or incorrect, including load failures, inactive scopes, missing events, and plugin or adaptive wiring problems.
Created by nvidia
Use this skill when first-time NeMo Relay users want to try Relay, choose the least-complex supported quick start, or verify initial value through the CLI, a maintained integration, or direct Python, Node.js, or Rust instrumentation before production setup.
Created by nvidia
Use this skill when choosing or running NeMo Relay installation for the CLI, Python, Node.js, Rust, OpenClaw, Hermes, or maintained framework integrations before runtime configuration or quick-start setup.
Created by nvidia
Use this skill when an application owns tool or LLM/provider call sites and needs to wrap them with NeMo Relay scopes and managed execution APIs for lifecycle events, middleware, or guardrails.
Created by nvidia
Use this skill when concurrent requests, async tasks, threads, workers, goroutines, or agents need independent NeMo Relay scope stacks and correct ancestry propagation.
Created by nvidia
Use this skill when adding NeMo Relay typed wrappers, domain types, or provider codecs while preserving JSON middleware semantics and caller-visible behavior.
Created by nvidia
Use this skill when migrating applications, examples, integrations, documentation, manifests, or repository code from NeMo Flow to NeMo Relay across Python, Rust, Node.js, Go, C FFI, CLI, configuration, and observability surfaces.
Created by nvidia
Use this skill when baseline NeMo Relay instrumentation exists and the user wants to configure or evaluate adaptive plugin behavior, including telemetry, state, adaptive_hints, tool_parallelism, ACG, hint consumption, or measured rollout.
Created by nvidia
Use this skill when building or packaging reusable NeMo Relay runtime behavior as an embedded configuration component or a manifest-backed `rust_dynamic` native or `worker` gRPC plugin, with deterministic validation and rollback-safe registration.
Created by nvidia
Use this skill when choosing or configuring NeMo Relay 0.6 or 0.7 observability through the built-in plugin, subscribers, or exporters, including raw ATOF events, ATIF trajectories, OpenTelemetry, OpenInference, or custom event handling.
Created by nvidia
Use when searching, extracting, ingesting, or querying a document collection with the NeMo Retriever 26.8.1 CLI, including local LanceDB indexes and deployed Retriever services. Use for PDFs, images, Office files, HTML, text, audio, and video; not for editing documents or web search.
Created by nvidia
Use when a task needs to search or add documents through NeMo Retriever MCP.
Created by nvidia
Autonomous NeMo-RL research agent workflow for directed hypothesis testing and open-ended discovery. Guides agents through the full experiment lifecycle: understanding recipes and environments, wiring RL or NeMo-gym runs, launching reproducible baselines and iterations, analyzing results, preserving human oversight, and using git plus TSV logs as the research ledger. Do NOT use for: bug fixes, code review, documentation, refactoring, dependency updates, or single-file changes.
Created by nvidia
Brev instance operating guidance for NeMo-RL agents working in /home/ubuntu/RL with limited workspace disk, a larger /ephemeral volume, and optional /home/ubuntu/RL/.env secrets. Use when running nemo-rl-auto-research campaigns, experiments, training jobs, model or dataset downloads, shared cache-heavy commands, log-producing runs, checkpoint generation, W&B or Hugging Face authenticated workflows, or any workflow that may create large files on Brev.
Created by nvidia
Documentation conventions for NeMo-RL. Covers docs/index.md updates and docstring format. Do NOT use for: bug fixes, test fixes, dependency bumps, refactoring, CI/CD changes, performance tuning, or any task that does not involve writing or updating documentation.
Created by nvidia
Manage durable working-session memory for coding agents. Use when a user asks to preserve or recover agent context across disconnects, VS Code restarts, long-running work, handoffs, or any session where important state should be written periodically under the repo's session directory. Do NOT use for: simple questions, short tasks, one-off commands, linting, or code review.
Created by nvidia
Guides human users' AI agents to the NemoClaw docs MCP server and canonical Fern documentation in Markdown form. Use when users ask how to install, configure, operate, troubleshoot, secure, or learn NemoClaw with an AI coding assistant. Trigger keywords - nemoclaw docs, use nemoclaw with ai agent, nemoclaw mcp docs, nemoclaw install help, nemoclaw quickstart, nemoclaw markdown docs, llms.txt, agent skills.
Created by nvidia
Orchestration skill for NVIDIA Nemotron Speech (Riva) / NeMo ASR domain and language adaptation. Given a goal like "improve/fine-tune ASR for my domain or language", it scopes the task, picks the cheapest sufficient path (word boosting → n-gram LM → fine-tuning), delegates each stage to the right sub-skill (data generation, training, evaluation, deployment), and answers cost/time/data questions along the way.
Created by nvidia
Plan, configure, and chain repo-native Nemotron customization steps into single-step or multi-step pipelines: curation, translation, SFT/PEFT (AutoModel or Megatron-Bridge), pretraining/CPT, RL alignment (DPO/RLVR/GRPO/RLHF), BYOB/MCQ benchmarks, checkpoint conversion, ModelOpt optimization, env profiles, and evaluation of trained checkpoints or existing/hosted endpoints. Use when a request names a Nemotron step or workflow, or asks to clean, translate, train, fine-tune, align, convert, optimize, evaluate, or compose these into a pipeline. Do NOT use for frontend/dashboard/visualization work, generic ML advice, billing/access, or non-Nemotron coding tasks.
Created by nvidia
Generates BYO custom safety policies for NVIDIA Nemotron content-safety guardrails — Nemotron-Content-Safety-Reasoning-4B (text) and multimodal Nemotron-3-Content-Safety. Produces a Markdown policy, JSON taxonomy, and drop-in inference prompts. Maps rough words or an existing policy to V2 categories, adding custom categories or topic-following rules.
Created by nvidia
Use when planning, debugging, tuning, evaluating, exporting, or deploying public Nemotron `embed`/`rerank` retrieval recipes.
Created by nvidia
Routes NVIDIA Nemotron Speech (Formerly Riva) NIM tasks — deploys, runs, and tests ASR, TTS, and NMT NIMs on build.nvidia.com or self-hosted.
Created by nvidia
Create, refine, or fix NVIDIA voice agents (Cascaded or Omni) with Pipecat or LiveKit. Use when building, scaffolding, or iterating on a real-time voice-agent pipeline, including speech (ASR/TTS) customization and cloud or local deployment. Not for offline/batch speech-to-text, text-only chat or RAG, or generic Docker or CUDA work unrelated to a voice agent.
Created by openclaw
Search local Notion archives and freshness
Created by steipete
Notion API for creating and managing pages, databases, and blocks.
Created by nvidia
Used for generating synthetic CT volumes and masks with NV-Generate-CTMR rflow-ct. Not for production training data without review.
Created by nvidia
Used for generating synthetic body MRI volumes with NV-Generate-CTMR rflow-mr. Not for paired masks or production training data.
Created by nvidia
Used for generating synthetic T1, T2, FLAIR, SWI, or MRA brain MRI volumes with NV-Generate-CTMR MR-Brain v1. Not for production training data.
Created by nvidia
Used for finetuning NV-Generate-CTMR MR-Brain v1 for T1, T2, FLAIR, SWI, or MRA data from a NIfTI datalist. Not for clinical or production data approval.
Created by nvidia
Used for finetuning the NV-Generate-CTMR MAISI VAE from CT/MRI NIfTI datalists. Not for clinical or production data approval.
Created by nvidia
Run NV-Reason-CT inference on user-provided 3D NIfTI chest or abdominal CT volumes for engineering and research workflows. Not for diagnosis, treatment, or clinical reporting.
Created by nvidia
Used for command-shape or live NV-Reason-CXR chest X-ray reasoning smoke tests. Not for diagnosis or clinical reporting.
Created by nvidia
Used for running NV-Segment-CT VISTA3D on CT NIfTI volumes and recording label-map evidence.
Created by nvidia
Runs standard or fixed-channel softmax finetuning of NV-Segment-CT VISTA3D on CT NIfTI image/label datasets, with optional MONAI-native MLflow tracking and checkpoint evidence. Uses softmax for predefined, mutually exclusive classes; keeps the standard workflow when point prompts or runtime-variable classes are needed. Not for clinical validation.
Created by nvidia
Used for running NV-Segment-CTMR on CT or MRI NIfTI volumes and recording label-map evidence. Not for clinical interpretation.
Created by nvidia
Use for agent-assisted Auto-FL optimization of an existing NVFLARE job in simulation, POC, or production. Do not use for code conversion, diagnosis-only work, or deployment setup.
Created by nvidia
Generate a reproducible final report, literature-outcome synthesis, JSON summary, and refreshed progress plot for a stopped or interrupted NVFLARE Auto-FL campaign.
Created by nvidia
Convert existing Hugging Face Transformers Trainer or TRL SFTTrainer training code into an NVFLARE federated job using flare.patch(trainer), local validation, and job export; use when the user names Hugging Face or preliminary source inspection identifies one Hugging Face owner, and not for manual PyTorch loops, Lightning, inference-only pipelines, deployment, or experiment workflows.
Created by nvidia
Convert existing PyTorch Lightning training code into an NVFLARE federated job using the Lightning Client API patch, local validation, and job export; use only when the request names federated/NVFLARE conversion or asks multiple sites to train collaboratively while keeping each site's data local, and either names PyTorch Lightning or preliminary source inspection identifies one Lightning owner; do not use for non-federated Lightning work such as DDP, profiling, inference serving, or training-loop changes, nor for plain PyTorch, TensorFlow/Keras, other frameworks, deployment, POC/production lifecycle, or experiment workflows.
Created by nvidia
Convert existing plain or manual PyTorch training code into an NVFLARE federated job using Client API model exchange, local validation, and job export; use when the user names plain PyTorch or preliminary source inspection identifies one plain-PyTorch owner, and not for Lightning, other frameworks, deployment, POC/production lifecycle, or experiment workflows.
Created by nvidia
Use when the user asks why a reported NVFLARE job failure signal occurred: the job failed, stalled, timed out, lost clients, ended with EXECUTION_EXCEPTION, or produced suspicious errors. Diagnose in simulation, POC, or production by collecting bounded evidence and mapping failure patterns to recovery actions.
Created by nvidia
Compute federated statistics over tabular data (count, sum, mean, stddev, var, histogram, quantile, noise-protected min/max) and image data (count, failure_count, pixel-intensity histogram) across NVFLARE sites via FedStatsRecipe — automatic and non-interactive from the dataset, feature names (header or supplied), and optionally a README or notes declaring which statistics to compute; do not use for model training conversion, hierarchical statistics, deployment, POC/production lifecycle, or failed-job diagnosis.
Created by nvidia
Route open-ended NVFLARE advice and only conversion requests whose preliminary source inspection reports unresolved or conflicting ownership; never load this skill merely to inspect a concrete conversion request before selecting its detected framework converter.
Created by nvidia
Internal NVFLARE conversion references and templates. Use only when another NVFLARE skill directs you to a shared workflow, policy, or asset.
Created by nvidia
Build typed third-party NeMo Fabric adapters
Created by nvidia
Find relevant NVIDIA skills and, with your approval, install them.
Created by nvidia
Use when writing or debugging nvMolKit Python code for GPU-accelerated RDKit fingerprints, similarity, conformers, clustering, and molecular searches.
Created by steipete
Work with Obsidian vaults (plain Markdown notes) and automate via obsidian-cli.
Created by nvidia
Build RTX-rendered USD viewer apps with the OV skill package.
Created by steipete
Batch-generate images via OpenAI Images API. Random prompt sampler + `index.html` gallery.
Created by steipete
Local speech-to-text with the Whisper CLI (no API key).
Created by steipete
Transcribe audio via OpenAI Audio Transcriptions API (Whisper).
Created by openclaw
Test the latest OpenClaw main commit through an isolated OCM copy or an explicitly approved in-place gateway update, then guide structured release feedback.
Created by nvidia
Use this skill for OpenFold2, NVIDIA's BioNeMo NIM microservice for monomer protein structure prediction. Invoke whenever the user mentions OpenFold2, AlphaFold2-like monomer folding, protein sequence-to-structure prediction, A3M MSAs, mmCIF templates, hosted NVIDIA API calls, or local Docker deployment.
Created by nvidia
Use this skill for OpenFold3, NVIDIA's BioNeMo NIM microservice for biomolecular structure prediction. Invoke whenever the user mentions OpenFold3 or needs protein, protein-ligand, protein-DNA/RNA, or multi-chain complex prediction with the hosted NVIDIA API or local Docker NIM. Covers endpoint choice, auth, request payloads, output artifacts, confidence scores, and local container setup.
Created by steipete
Control Philips Hue lights/scenes via the OpenHue CLI.
Created by opensea
Query NFT and token data, trade NFTs on Seaport, swap ERC20 tokens via DEX aggregator, configure wallet signing providers, and build/register/gate AI agent tools on Base. Covers the full OpenSea developer surface across CLI, MCP server, shell scripts, and SDK. Pick the right sub-skill using the routing table below, then read that sub-skill's SKILL.md for operational detail.
Created by steipete
Use the @steipete/oracle CLI to bundle a prompt plus the right files and get a second-model review (API or browser) for debugging, refactors, design checks, or cross-validation.
Created by steipete
Foodora-only CLI for checking past orders and active order status (Deliveroo WIP).
Created by nvidia
Audit, prepare, or deploy the PAIDF Orchestration Kubernetes controller and GPU cluster
Created by nvidia
Run event video generation and anomaly-dataset workflows
Created by nvidia
Run image attribute augmentation and attribute-search workflows
Created by nvidia
Use when authoring or validating PAIDF augmentation YAML configs, or running remote Cosmos Transfer (including Cosmos3 WSM controls), Cosmos Predict, image-edit, or image-to-video inference.
Created by nvidia
Use when a user needs to get started with PAIDF Auto-Labeling, plan a scenario, run or debug a shipped cookbook, author prompts or cookbooks, migrate a pipeline, or configure a stage. Confirm critical inputs (data path, output path, endpoints) and ask when any are missing. This is a router: read the matching reference instead of inventing a workflow.
Created by nvidia
Prepare and run PAIDF Cosmos Predict video generation for DEFT media samples.
Created by nvidia
Use when operating PAIDF Curation and Retrieval or NVIDIA Cosmos Curator pipelines (split, filter, caption, embed, dedup, shard, image annotate) or PAIDF Data Mining nearest-neighbor matching on Curator embeddings. Activate for Make or CLI pipeline config, GPU run preflight, FFmpeg sidecar, SAM3 keys, or Curator-to-TAO handoff. Do not use for generic ETL, vector-database RAG, model training, orchestration, or embeddings outside Cosmos Curator and PAIDF Data Mining.
Created by nvidia
Use when a user describes a custom PAIDF Orchestration pipeline — a specific ordered combination of stages such as augmentation only, auto-labeling only, detection+captioning only, or image attribute augmentation without full auto-labeling — that no existing DAG in airflow/dags/workflows/ covers, and asks for a new Kubernetes DAG. Also use to check that a generated or existing DAG's model/container/prompt choices match an external spec document (e.g. a PAIDF `launchable.md`).
Created by mvanhorn
High-accuracy web search and research via Parallel.ai API. Optimized for AI agents with rich excerpts and citations. Supports agentic mode for token-efficien...
Created by steipete
Capture and automate macOS UI with the Peekaboo CLI.
Created by aws
Run an AWS Security Agent penetration test against a live web application — registers and verifies the target domain, exercises the supplied endpoints with the managed Security Agent service, and returns verified runtime findings. Use when the user asks to pentest, run a penetration test, test their app's attack surface, find runtime vulnerabilities, register or verify a target domain, or check pentest status / findings.
Created by nvidia
Use when the user wants to orchestrate defect image generation with NVIDIA Cosmos AnomalyGen (Cosmos-Predict2-derived) on OSMO for PCBA, metal surface, and glass inspection. The Day 0 path handles cold-start with USD-to-ROI, image-edit augmentation, and AnomalyGen to create initial PCBA datasets. The Day 1 path performs inference and labeling on real images. This skill helps with first-time asset setup, creation of finetuning checkpoints, and configuring deployment. Trigger keywords: defect image generation, dig workflow, dig pipeline, defect image detection workflow, aoi pipeline, aoi anomalygen, usd2roi anomalygen, day 0 pcba, day 1 pcba, day 1 real-photo alignment, day 1 manual roi, metal surface anomaly, glass defect, anomalygen finetune, setup_pcb, setup_metal, setup_glass, setup_pretrained, dig setup, dig datasets, dig pretrained checkpoint, dig image-edit endpoint, cosmos defect generation, cosmos-predict2 defect, cosmos-anomalygen, cosmos predict2 finetune.
Created by nvidia
Use when the user wants to set up, scale, validate, or harden NVIDIA physical AI infrastructure for synthetic data generation workflows across local MicroK8s or Azure AKS, including Kubernetes clusters, inference endpoint deployment, OSMO deployment, workload submission readiness, and infrastructure failure recovery. Trigger keywords: physical ai infrastructure, resilient scaling, SDG infrastructure, microk8s, azure aks, NVCF deployment, NIM Operator, OSMO deploy, workflow scaling. Don't trigger for: OSMO log summarization or workload-only operations unless infrastructure setup, scaling, validation, or recovery is requested.
Created by nvidia
Router for NVIDIA NuRec/NRE: USDZ rendering, NCore conversion, 3DGS, gRPC sensor sim, carline adaptation, PhysicalAI HF datasets. Do NOT use for SimReady or infra setup.
Created by nvidia
Use when running video data augmentation and auto-labeling workflows on OSMO: flow selection, preflight, submit-time interpolation, monitoring, and output retrieval. Trigger keywords: video data augmentation, data enrichment, auto labeling, VDA demo, OSMO workflow, pseudo labeling.
Created by nvidia
Official NVIDIA-authored guidance for navigating PhysicsNeMo — pick the model, datapipe, or example for a SciML/AI4Science task (surrogates, forecasting, downscaling, physics-informed, inverse, generative). Points at existing files via live repo search; never writes code. Do NOT use for installation or environment setup, training-loop or other code authoring/scaffolding, contributor/CI/packaging questions, repo-specific questions in physicsnemo-sym/-cfd/-curator, or general (non-physics) ML/PyTorch.
Created by nvidia
Official NVIDIA-authored guidance for PhysicsNeMo ShardTensor domain parallelism — integrate domain parallelism into training/inference scripts (new or existing) with DDP or FSDP2, write and register shard patches to enable new layers/ops, and bootstrap multi-GPU correctness tests. Use when working with ShardTensor, scatter_tensor, domain parallelism, sequence/spatial sharding, ring attention, DeviceMesh + DDP/FSDP2 hybrid parallelism, or physicsnemo.domain_parallel. Do NOT use for generic PyTorch DDP/FSDP setup without domain parallelism, picking a PhysicsNeMo model or example (use physicsnemo-discover), or non-distributed training questions.
Created by mvanhorn
Query and trade on Polymarket prediction markets — check odds, trending markets, search events, view order books, place trades, and manage positions. Now ava...
Created by nvidia
Use when a user asks to build, optimize, backtest, rebalance, or analyze a stock portfolio with Mean-CVaR, Mean-Variance/SOCP variance caps, efficient frontiers, scenario generation, or NVIDIA cuOpt.
Created by heygen-com
Turn a GitHub pull request (a PR URL, owner/repo#N, or 'this PR' in a checked-out repo) into a code-change explainer video — changelog, feature reveal, fix, or refactor walkthrough built from the diff, commits, and files: the input is a code change, not a website. Not a product promo (/product-launch-video) or a no-PR topic explainer (/faceless-explainer). Unclear → /hyperframes.
Created by aws
Deploy an event-driven workflow that routes S3 uploads to either Lambda or Fargate via Step Functions based on file size. Uses EventBridge to trigger a Step Functions state machine when objects are uploaded to S3. Small files are processed by Lambda, large files by a Fargate task. Includes VPC, ECR repository, ECS cluster, and scoped IAM roles. Trigger keywords: Step Functions, Fargate, Lambda, S3 event, EventBridge, ECS, ECR, file processing, workflow orchestration, serverless.
Created by heygen-com
Turn a product or marketing URL, pasted script, or brief into a product launch / promo video — SaaS promos, feature reveals, product demos, app and company launches. Use when the user wants to market, launch, promote, or reveal a product; the default for any commercial URL. Site tours / showcases of a website route here too — the brief carries the show-it-as-is intent. Unclear → /hyperframes.
Created by nvidia
Run ProteinMPNN inverse folding via NVIDIA NIM to design protein sequences for a target backbone. Sends user-provided PDB files and design parameters to NVIDIA's hosted API, authenticated with an environment API key, or to a user-selected local NIM. Use for sequence design, backbone redesign, fixed chains and residues, omit_AAs, sampling temperature, soluble model, local Docker, and multi-FASTA output.
Created by steipete
Local search/indexing CLI (BM25 + vectors + rerank) with MCP mode.
Created by aws
Runs SQL queries on CloudWatch Logs data exported as Apache Iceberg tables in S3 Tables. Covers VPC Flow Logs, WAF logs, CloudFront access logs, Route 53 resolver logs, Network Firewall logs, EKS audit logs, Verified Access logs, SES logs, VPC Lattice logs, Step Functions logs, NLB access logs, and 20+ other AWS vended data sources. Applies when analyzing network traffic, investigating security incidents, querying exported logs with SQL, enabling S3 Tables integration, configuring log export, correlating logs with other data, or running Athena queries on the aws-cloudwatch table bucket. Trigger phrases: query logs with SQL, analyze logs in Athena, SQL on VPC flow logs, investigate network traffic, run SQL on exported logs, enable S3 Tables for CloudWatch, correlate logs, historical log analysis, set up log querying.
Created by aws
Queries S3 object metadata, tracks bucket activity, audits object changes, searches annotations, and analyzes storage metrics using S3 Metadata system tables (journal, inventory, annotation) and S3 Storage Lens tables via Athena SQL. Applies when counting objects, finding recent uploads or deletions, identifying who wrote to a prefix, breaking down storage classes, finding objects by tag, searching annotation content, analyzing storage lens metrics, or enabling S3 Metadata tracking. Prefers system tables over raw S3 APIs (list-objects-v2, head-object) at scale. Trigger phrases: bucket activity, object count, who uploaded, track deletions, storage class breakdown, find by tag, search annotations, storage lens metrics, audit bucket changes.
Created by aws
Runs SQL analytics on SageMaker Catalog asset metadata tables exported as Apache Iceberg in S3 Tables. Covers governance queries, asset growth tracking, ownership audits, time-travel over catalog state, and metadata quality analysis. Applies when querying catalog inventory, finding assets without descriptions, comparing catalog snapshots, or auditing data ownership. Trigger phrases: catalog inventory SQL, how many assets, assets without descriptions, asset growth over time, who owns this data, catalog governance, data quality audit, catalog analytics.
Created by aws
Execute and manage Athena SQL queries across default and federated catalogs (Glue, S3 Tables, Redshift). Triggers on phrases like: query data, run SQL, athena query, analyze table, SQL query, workgroup status, profile table, query Redshift catalog, query S3 Tables. Do NOT use for finding specific data assets (use finding-data-lake-assets), full catalog audits (use exploring-data-catalog), importing data (use ingesting-into-data-lake).
Created by nvidia
NVIDIA RAG Blueprint — deploy, configure, troubleshoot, and manage. Handles any RAG action: deploy, install, start, enable, disable, toggle, change, configure, troubleshoot, debug, fix, shutdown, stop, or tear down any RAG feature or service (Agentic RAG, VLM, guardrails, query rewriting, models, search, ingestion, observability, summarization, reasoning, and more).
Created by nvidia
Filesystem RAG benchmarks: corpus/, train.json, evaluate_rag.py (RAGAS quality). Not for prod monitoring, latency/throughput benchmarking (use rag-perf), or evals outside this repo layout.
Created by nvidia
Performance benchmarking for a deployed NVIDIA RAG Blueprint server: profiling pass + aiperf load test driven by a single YAML config. Not for accuracy / RAGAS scoring (use rag-eval) or for deploying / repairing services (use rag-blueprint).
Created by aws
Provisions, connects, migrates, and operates Amazon RDS for Db2. Applies when provisioning with IBM customer and site IDs (License Manager, BYOL, GovCloud), connecting over TLS, fixing SQL30082N after Secrets Manager rotation, migration from Db2 LUW (Linux, AIX, Windows, AS400) or z/OS mainframe (ADB2GEN, Q Replication), choosing code page/collation (EBCDIC, CCSID), S3 backup/restore, Multi-AZ and cross-region standby replicas, RDSADMIN procedures, customer-managed KMS BYOK, self-managed Active Directory Kerberos, Db2 audit to S3, minimum IAM, or colocation.
Created by aws
Diagnoses and resolves Amazon RDS for Oracle connectivity, authentication, networking, and driver troubleshooting. Applicable to any RDS-for-Oracle question including connecting a Python Lambda to RDS Oracle in a VPC with pooling and cold-start optimization, EKS pods to RDS Oracle via the Secrets Manager CSI driver with IRSA and SecretProviderClass, ORA-12170 cross-VPC timeouts from EC2, DPI-1047 cannot-locate-64-bit-Oracle-Client errors, and Oracle Connection Manager (CMAN) on EC2 as a proxy with HA across two AZs. Covers python-oracledb thin vs thick mode, init_oracle_client, RDS Proxy does NOT support RDS Oracle, port 1521, VPC peering, Transit Gateway, Kerberos with AWS Managed Microsoft AD, SSL/TLS/NNE, SSM port forwarding, EC2/ECS Fargate/EKS/Lambda, SQL Developer/DBeaver/Toad/SQLcl, and Secrets Manager.
Created by aws
Advises on Amazon RDS open-source engines (MySQL, MariaDB, PostgreSQL) for instance creation, upgrade planning, commitment pricing, proxy evaluation, and Blue/Green deployments. Handles any RDS MySQL, MariaDB, or PostgreSQL question, including create a production-ready RDS MySQL instance, provision an RDS PostgreSQL database, run the RDS upgrade advisor for my RDS MySQL instance, what are my upgrade options, upgrade RDS MariaDB from 10.6 to the latest version, should I buy reserved instances or a savings plan for db.r7g.2xlarge RDS MySQL, change a VARCHAR to INT column on RDS MySQL 8.0 with Blue/Green, and does RDS Proxy help when PgBouncer already runs in transaction mode. Covers instance creation with production best practices, describe-db-instances and describe-db-engine-versions upgrade-target workflow, live prechecks via SSM or direct connection, RI versus DSP commitment pricing, RDS Proxy versus PgBouncer, and Blue/Green lifecycle with binlog replay compatibility.
Created by aws
Provides connectivity, authentication, and troubleshooting guidance for Amazon RDS for SQL Server. Applicable when users ask about SSMS times out connecting from EC2, Cannot generate SSPI context with Windows auth, connect RDS SQL Server from Lambda with pymssql, auth_scheme shows NTLM instead of KERBEROS on ECS Fargate, SSM tunnel to RDS SQL Server from laptop, port 1433 security group, TrustServerCertificate=True for localhost tunnels, SPN MSSQLSvc, AWS Managed Microsoft AD, CNAME not RDS endpoint for Kerberos, tds_version='7.4', encryption='require', port-as-string for pymssql, Secrets Manager credential caching in Lambda, error 18456 login failed. Covers Python (pymssql, pyodbc), .NET (Microsoft.Data.SqlClient), Java (JDBC mssql-jdbc), Node.js (tedious), IAM auth via RDS Proxy, and VPC/ECS/EKS/Lambda deployment.
Created by aws
Configures AWS Application Recovery Controller (ARC) for operational resilience: routing controls with safety rules for cross-Region failover, and zonal shift / zonal autoshift for AZ-impairment recovery. Applies when setting up failover routing, configuring safety rules, enabling zonal shift, or configuring zonal autoshift with practice runs. Also applies when shifting traffic out of a specific Availability Zone (AZ) for an ALB/NLB or other resource. For a broader "an AZ is impaired, what is my response across services" question, see aws-resilience-lifecycle. Does not apply to Resilience Hub setup or FIS experiments.
Created by aws
Pull AWS Security Agent findings (penetration tests and code reviews) and drive remediation. Use this whenever the user mentions Security Agent, security findings, pentest or penetration test results, code review findings, vulnerabilities found in their AWS account, "what did the security scan find", remediating or triaging security risks, or wants to start fixing reported vulnerabilities — even if they don't name the service explicitly. Trigger it for phrases like "get my security findings", "what vulnerabilities do we have", "let's fix the pentest results", or "triage the security report". The skill discovers scans, exports findings to a gitignored local directory (so sensitive exploit detail is never committed), produces a prioritized triage summary, and offers to start fixing the highest-risk issues.
Created by mvanhorn
Headless video rendering with Remotion v5 on any Linux server — no Mac or GUI needed. Templates for chat demos, promos, and more. Uses Chrome Headless Shell...
Created by heygen-com
Port an existing Remotion (React) composition's source to HyperFrames HTML. Use ONLY on an explicit ask to port/convert/migrate/translate a Remotion source — one-way, Remotion-only. A passing Remotion mention, reference-only code, or "make something like my Remotion video" is a fresh build (/general-video). Unclear → /hyperframes.
Created by aws
Runs and interprets AWS Resilience Hub v2 failure mode assessments. Covers starting assessments, understanding findings (severity, categories, recommendations), triaging by achievability, working with AI-generated service functions, and resolving findings. Applies when the user wants to run an assessment, review findings, or understand failure modes, or has a specific finding and asks how to resolve, remediate, or fix it. Does not apply to initial setup (use resilience-hub-getting-started) or FIS experiments.
Created by aws
Sets up AWS Resilience Hub v2 from scratch: creates resilience policies with SLO targets, registers systems and user journeys, onboards services with input sources, and runs a first failure mode assessment. Applies when the user wants to get started with Resilience Hub v2, create a policy, onboard a service, or run an assessment — including creating one concrete policy with specific availability/RTO/RPO targets and a DR approach for a single service (even a tier-1 one). Does not apply to FIS experiments or ARC routing controls.
Created by aws
Configures AWS Resilience Hub v2 for multi-account resilience management across an AWS Organization. Covers the per-service cross-account permission model, cross-account IAM roles, and centralized assessment from a single account. Applies when the user wants to set up org-wide resilience or assess workloads that span multiple AWS accounts.
Created by aws
Designs a resilience program: how to structure and standardize resilience policies across an organization, team, or portfolio (tiered policy model with availability/RTO/RPO targets and DR approach selection), and how often to run resilience activities (operational cadence). Applies when the user asks how to structure policies org-wide, what tiers/targets to set, which DR approach fits a tier, or how frequently to run assessments, FIS experiments, GameDays, or autoshift practice. Does not apply to creating or configuring a specific policy or resource for a single workload (use resilience-hub-getting-started), to step-by-step lifecycle execution (see aws-resilience-lifecycle), or to service-specific setup.
Created by nvidia
Run RFDiffusion protein backbone design via NVIDIA NIM. Use for de novo protein backbones, motif scaffolding, binder design, hotspot residues, contigs syntax, diffusion steps, hosted NVIDIA API calls, local Docker deployment, and PDB backbone outputs for ProteinMPNN sequence design.
Created by aws
Configures Amazon Route 53 DNS: public and private records, traffic-steering routing policies, health checks, DNS Firewall, Route 53 Profiles, VPC Resolver (also known as Route 53 Resolver) for hybrid and Outposts networks, and Global Resolver. Applicable when the customer wants to point a hostname at a target, split or fail over traffic across endpoints, monitor an endpoint, block malicious domains, centralize DNS across accounts, or resolve private DNS across a hybrid network. Routes to the right per-task procedure in references. Does not cover CloudFront-specific setup (see the route53-cloudfront skill) or non-DNS networking.
Created by aws
Configures Amazon Route 53 to route traffic to a CloudFront distribution using a custom domain. Use when setting up DNS alias records, alternate domain names (CNAMEs), ACM certificates for HTTPS, and IPv6 support for CloudFront.
Created by nvidia
Scaffold a standalone DeepStream CV microservice that publishes detection metadata (and optional segmentation/frame-mask payloads) to Kafka mdx-raw for VSS Search and Alerts profiles.
Created by nvidia
How to swap the DeepStream CV detection model in the VSS Alerts Blueprint verification (2d_cv) mode - covers ONNX export, custom bbox parsers, compose mount gotchas, nvinfer config, runtime TRT engine build, deployment, and a segmentation-capable model addendum handoff.
Created by nvidia
How to swap the VLM in the VSS Alerts Blueprint — covers RTVI-VLM microservice deployment methods, all three VLM consumers (rtvi-vlm, vlm-as-verifier, vss-agent), and health checks.
Created by nvidia
Mod or remaster a game with RTX Remix - open and edit projects, swap textures and models. Connect to the Remix Toolkit App via MCP. Not for non-Remix game interaction.
Created by aws
Run automated release testing (UI or API) via the AWS DevOps Agent using a pre-configured test profile. Use when the user wants to validate multi-step workflows, verify features, check for regressions, or test API endpoints. Trigger words include run tests, UAT, test my app, test profile, UI test, API test, automated testing, regression test, QA, end-to-end test, run the QA agent.
Created by steipete
ElevenLabs text-to-speech with mac-style say UX.
Created by spotify
Create polished audio content and save to Spotify. Produces episodes with TTS narration, a rich timeline (chapters plus in-player images, external links, and...
Created by aws
Run an AWS Security Agent scan on the workspace — uploads the source to AWS, scans it with the managed Security Agent service, and returns ranked, verified findings with code locations and remediations. Use when the user asks to scan code, find vulnerabilities, run a security scan or review, check security issues, check scan status, show findings, list recent scans, or stop a scan.
Created by mvanhorn
Real-time X/Twitter search powered by Grok-4. Find tweets, trends, and discussions with citations. Grok-4.20 also returns image results alongside tweet citat...
Created by aws
Create and secure S3 buckets following AWS best practices for access control, encryption, monitoring, and remediation of misconfigurations. Use when the user wants to secure a new bucket, audit an existing bucket, fix a security finding, configure encryption, or enable logging and monitoring. Do NOT use for general S3 data operations, S3 Tables setup, or discovering existing data assets.
Created by aws
Enables a multi-region AWS CloudTrail trail with S3 log storage, CloudWatch Logs integration, and CloudWatch Logs Insights queries for security monitoring and compliance auditing. Use when setting up centralized API activity logging across all AWS regions.
Created by aws
Sets up notification channels for CloudWatch alarms using SNS topics and subscriptions. Always use this skill when configuring alarm notifications — it creates encrypted SNS topics, configures topic policies for CloudWatch access, sets up email/SMS/webhook subscriptions, and links alarms to notification actions with proper security controls.
Created by aws
Configures EC2 instances to securely call AWS services by creating and attaching IAM roles via instance profiles, eliminating hardcoded credentials. Use when an EC2 instance needs permissions to access AWS services like S3, DynamoDB, SQS, or CloudWatch through temporary credentials.
Created by aws
Set up the AWS DevOps Agent and AWS Security Agent connections. Use when the user says "set up", "configure", "connect", or when MCP tools are missing.
Created by aws
Setup and diagnostics for the AWS DevOps Agent MCP connection. Triggers when aws-devops-agent is missing from .mcp.json, when the connection is broken, or when the user says "set up devops agent" / "configure agent". Does NOT trigger if the MCP is already connected and working.
Created by aws
Configure AWS Security Agent for the current workspace — provision or reuse an agent space, IAM service role, and S3 bucket. Use when the user asks to "set up security agent", "configure security scanner", "is security agent configured", or on first-time use before any scan or pentest.
Created by aws
Configures AWS Shield Advanced for enhanced Distributed Denial of Service (DDoS) protection: subscribing accounts and adding resource protections, enabling automatic application layer (layer 7) mitigation through AWS WAF, configuring health-based detection with Route 53 health checks, setting up Shield Response Team (SRT) access and proactive engagement, reviewing DDoS events and requesting cost protection credits, and aggregating resources into protection groups. Applicable when the user wants stronger DDoS protection for internet-facing resources (CloudFront, Application or Network Load Balancers, Elastic IP addresses, Global Accelerator, or Route 53 hosted zones), wants expert help during an attack, or wants to recover attack-driven scaling charges. Routes to the right per-task procedure in references. Not applicable for authoring AWS WAF rules (waf skill), creating Route 53 health checks (route53 skill), or org-wide Shield Advanced rollout with Firewall Manager (firewallmanager skill).
Created by shopify
Shop across millions of stores: find products, build carts, check out, and track orders. Pays for browser purchases with a card the user approves in Shop.
Created by aws
Gets AWS credentials for CLI/SDK access via `aws login`. Activates when a developer needs to authenticate to AWS for local development, when an AWS operation fails due to missing or expired credentials, or when someone asks about setting up AWS access. Triggers: "set up AWS", "configure AWS", "aws login", "get credentials", "authenticate", "session expired", "token expired", "no credentials", "AccessDeniedException" with no configured credentials.
Created by aws
Configures AWS Site-to-Site VPN: creating an IPsec VPN connection between an on-premises network and a VPC, choosing the target gateway (virtual private gateway, transit gateway, or AWS Cloud WAN), choosing static or dynamic (BGP) routing, sizing tunnel bandwidth (Standard 1.25 Gbps or Large 5 Gbps), connecting many sites through a VPN Concentrator, applying the customer gateway device configuration, making a connection highly available, and monitoring tunnels with CloudWatch. Applicable when the user wants to connect a data center or branch office to AWS over an encrypted tunnel, choose how routes are exchanged, scale throughput, consolidate sites, or diagnose a down tunnel. Routes to the right per-task procedure in references. Not for AWS Direct Connect (its own service), Client VPN for individual remote users, the transit gateway side of a VPN attachment (transitgateway skill), or Route 53 DNS work.
Created by ant-intl
Alipay+ Payment Integration Assistant. Provides structured integration guidance for Acquiring Service Providers (ACQP) and Mobile Payment Service Providers (...
Created by nvidia
Use only to generate or update a governance skill card for a specified existing agent skill directory. Do not use for explaining, listing, comparing, or discussing skill capabilities.
Created by steipete
Use when you need to control Slack from Clawdbot via the slack tool, including reacting to messages or pinning/unpinning items in Slack channels or DMs.
Created by openclaw
Search local Slack archives and freshness
Created by heygen-com
Author a HyperFrames slideshow — a presentation, pitch deck, or interactive deck with discrete slides, fragment reveals, branching, hotspot navigation, and built-in presenter mode with speaker notes; also converts an existing page into a deck. Output is a navigable deck, not a rendered MP4. If the user didn't explicitly ask for a slideshow, confirm before authoring. Unclear → /hyperframes.
Created by steipete
Generate spectrograms and feature-panel visualizations from audio with the songsee CLI.
Created by steipete
Control Sonos speakers (discover/status/play/volume/group).
Created by steipete
Terminal Spotify playback/search via spogo (preferred) or spotify_player.
Created by aws
Store and query vector embeddings using Amazon S3 Vectors, a cost-effective long-term vector storage service with its own API namespace (s3vectors). Triggers on: create S3 vector bucket, vector index, store embeddings, semantic search, RAG vector storage, similarity search, vector database, migrate from other vector databases. Do NOT use for: querying tabular data (use querying-data-lake), S3 object storage, or hundreds/thousands of sustained QPS (use OpenSearch).
Created by mvanhorn
Connect to Supabase for SQL queries, CRUD, table management, and vector similarity search using pgvector extension and OpenAI embeddings.
Created by steipete
Swift Concurrency review and remediation for Swift 6.2+. Use when asked to review Swift Concurrency usage, improve concurrency compliance, or fix Swift concurrency compiler errors in a feature or file.
Created by steipete
Implement, review, or improve SwiftUI features using the iOS 26+ Liquid Glass API. Use when asked to adopt Liquid Glass in new SwiftUI UI, refactor an existing feature to Liquid Glass, or review Liquid Glass usage for correctness, performance, and design alignment.
Created by steipete
Audit and improve SwiftUI runtime performance from code review and architecture. Use for requests to diagnose slow rendering, janky scrolling, high CPU/memory usage, excessive view updates, or layout thrash in SwiftUI apps, and to provide guidance for user-run Instruments profiling when code review alone is insufficient.
Created by steipete
Refactor and review SwiftUI view files for consistent structure, dependency injection, and Observation usage. Use when asked to clean up a SwiftUI view’s layout/ordering, handle view models safely (non-optional when possible), or standardize how dependencies and @Observable state are initialized and passed.
Created by heygen-com
Package an existing talking-head / interview / podcast video with timed, designed GRAPHIC OVERLAY cards — kinetic titles, lower-thirds, data callouts, quotes, side panels, picture-in-picture — synced to the transcript, on a 16:9 / 9:16 / 4:5 canvas of your choice; the clip plays untouched underneath. Trigger on "graphic overlays", "on-screen graphics", "package / dress up my video". Not plain subtitles (/embedded-captions). Unclear → /hyperframes.
Created by nvidia
Performs deep Root Cause Analysis (RCA) on NVIDIA TAO Visual ChangeNet classification experiments with image-evidence-driven investigation. Use when analyzing ChangeNet model failures, investigating poor recall / FAR / PASS-NO_PASS metrics, auditing visual inspection pipeline quality, or running an RCA report for an AOI defect-detection model. Trigger phrases include "RCA on my ChangeNet model", "why is my AOI model failing", "audit ChangeNet predictions", "investigate FAR regressions", "root cause analysis on visual-changenet".
Created by nvidia
Run TAO Data Services KPI analysis for object detection, comparing inference annotations against ground truth to compute per-class TP/FP/FN/TN, precision, recall, accuracy, and AP at a fixed IoU. Use when an object detection workflow needs per-class mAP reported after inference, or when the user asks to "run KPI analyze", "compute detection mAP", or "score my OD predictions against ground truth".
Created by nvidia
Run TAO Data Services object-detection gap analysis from ground-truth and inference annotations. Use when an object detection workflow needs to identify weak images by comparing model predictions against ground truth using per-class recall, precision, and AP50 thresholds. Use when the user asks to "analyze OD gaps", "find weak OD images", or "run mAP gap analysis".
Created by nvidia
Performs gap analysis on NVIDIA TAO VCN Classify (Visual Component Net) experiments by invoking the pinned TAO data-services container directly via `docker run … gap_analysis vcn_aoi …` — picks the optimal decision threshold, ranks per-sample weakness, and emits a top-K weakest parquet expanded per-lighting for downstream augmentation. Use when analyzing VCN classification failures, picking SDA augmentation targets, or auditing PASS/NO_PASS boundary cases.
Created by nvidia
Extract false-positive and false-negative gaps from VLM binary-classification-question (BCQ, yes/no) predictions. Use when the user asks to "analyze VLM BCQ gaps", "extract VLM false positives and false negatives", or identify failure cases from a predictions JSON for DEFT root-cause analysis on a binary-classification VLM workflow.
Created by nvidia
The contract home for TAO's SDK-free execution pipeline — authoritative JSON Schemas for the four typed artifacts (spec-bundle, job-record, results_dir layout, best_rec) plus the fixed job-status vocabulary and the nested-not-dotted spec rule. Use when authoring or validating a spec-bundle before submit, writing or reading a .tao/jobs job-record, resolving where results land, or consuming AutoML's best_rec.json. Trigger phrases include "validate the spec bundle", "job record schema", "status vocabulary", "results_dir layout", "best_rec schema".
Created by nvidia
Run `tao-daft convert` to convert NVIDIA TAO DAFT datasets between supported formats. Do not use for non-DAFT data. Use when the user asks to convert a DAFT dataset, change DAFT format, change a TAO dataset format, or run `tao-daft convert`.
Created by nvidia
The data-mover for TAO jobs — decides the storage tier (A pre-positioned mount with zero fetch / B volume-from-S3 / C ephemeral in-compute fetch), stages inputs (bulk + annotation-selective + archive extract + HF/NGC PTM), maps credentials to env, routes outputs 3-way with upload-excludes, and runs the compute-frame verify gate. A support skill other platform skills (docker, kubernetes, slurm, brev, virtualenv) call to get data to and from the compute container without the TAO SDK. Trigger phrases include "stage inputs", "mount the dataset", "upload TAO results", "download only referenced files", "resolve results_dir", "verify the container can read the data".
Created by nvidia
CLIP vision-language model for image-text retrieval, zero-shot classification, embedding extraction, ONNX export, and TensorRT deployment. Use when fine-tuning or training CLIP, running zero-shot classification, computing image embeddings, or deploying CLIP to ONNX/TensorRT. This is a single-action model skill; do not use it for an iterative weak-attribute improvement loop that keeps retraining and evaluating until progress stops, which belongs to tao-run-deft-pas.
Created by nvidia
Cosmos-Embed1 video-text embedding for text-to-video retrieval, video-to-video search, semantic deduplication, and fine-tuning. Use when the user asks to "fine-tune Cosmos-Embed1", "run cosmos-embed inference", "export Cosmos-Embed1", "embed videos", or "search videos with text".
Created by nvidia
Shared Cosmos3 frontend that explicitly routes Cosmos Framework and Cosmos-RL, validates runtime model/video-dataset/SLURM inputs, consumes an SQSH or packaged backend image, optionally plans explicit clean source builds, prepares checkpoints, validates the first update in-process, and returns token-weighted losses and task-aware accuracy.
Created by nvidia
Fine-tune any HuggingFace CV / VLM / LLM model on local NVIDIA GPUs inside an NGC PyTorch container when no dedicated TAO model skill matches. Use when the user wants to fine-tune a HuggingFace model (full or LoRA), train a vision / VLM / LLM model end-to-end, generate a reproducible HF training pipeline, smoke-test a HuggingFace model locally before scale-up, push a fine-tuned model to the HF Hub with a model card, or emit a self-contained rerun skill for an existing HuggingFace finetune. Supports image classification, object detection, semantic / instance / panoptic segmentation, depth estimation, image-text-to-text VLM (SFT / LoRA), and LLM SFT / DPO / GRPO. Six-step workflow: inspect and qualify, hardware and NGC image, research, generate and smoke, train + eval + infer, push and emit rerun skill. Do not use for any Hugging Face model ID claimed by a dedicated `skills/models/*` skill; the model skill and its declared execution environment take precedence.
Created by nvidia
NV-Tesseract AD Diffusion — diffusion-based anomaly detection and fine-tuning for multivariate time series. Use when the user asks to "fine-tune NV-Tesseract", "run AD diffusion inference", "detect anomalies with diffusion", "time series anomaly detection", "finetune ad-diffusion", "use perform_anomaly_analysis_with_diffusion", "automl ad-diffusion", "hyperparameter search ad-diffusion", "hyperparameter optimization" or mentions "curriculum_medium.yaml", "final_model.pth", "nv-tesseract-ad-diffusion", "ad_diffusion", or "TSDiffuser_Generic".
Created by nvidia
NV-Tesseract Forecasting — transformer-based multivariate time series forecasting with DARR (context-enhanced kNN retrieval), interpretability, and fine-tuning. Use when the user asks to "forecast with NV-Tesseract", "run forecasting inference", "use perform_forecasting", "DARR mode", "context-enhanced forecasting", "lag horizon attribution", "interpretability", "fine-tune forecasting", "fine-tune forecasting with automl", "hyper-parameter optimization with forecasting", or or mentions "nv-tesseract-forecasting", "moment_head_512_6hr", or "run8_best_model_cr".
Created by nvidia
InternVideo2-CLIP L14 (TAO video_clip) for video-text retrieval, zero-shot classification, embedding extraction, LoRA fine-tuning, ONNX export, and TensorRT deployment. Use when the user asks to "fine-tune IV2CLIP", "run video_clip train/evaluate/inference/export", "build a Video-CLIP TensorRT engine", "InternVideo2-CLIP on KPI chunks", or "TAO video_clip on vadr1_chunks JSON".
Created by nvidia
Full PAIDF AnomalyGen pipeline — fine-tune on a new anomaly dataset, generate synthetic anomaly images (SDG), evaluate quality (nn_score), and search per-sample (guidance, crop_ratio) parameters. Three modes: full (Phase 0→7: finetune then generate), finetune_only (Phase 0→1: train only), inference_only (Phase 0, 2→7: generate from an existing checkpoint). Use when the user asks to "fine-tune AnomalyGen", "generate anomaly images", "run PAIDF SDG", "evaluate SDG output quality", "run per-sample search", or run any part of the AnomalyGen pipeline, even if they only mention one phase.
Created by nvidia
Run TAO Data Services image embedding to turn a parquet of image filepaths into an embedding parquet using CLIP, SigLIP, or a TAO checkpoint. Use when a workflow needs embeddings before nearest-neighbor or unique-neighbor mining, or when the user asks to "embed images", "compute image embeddings", or "generate SigLIP embeddings".
Created by nvidia
Two-step image grounding pipeline: extracts referring expressions from (image, caption) pairs and grounds them to pixel-space bounding boxes via a VLM. Use when the user wants to ground captions to bboxes, generate phrase-grounded annotations, auto-label images for grounding, or run the image_grounding pipeline. Triggers include 'image grounding', 'phrase grounding', 'ground captions', 'auto-label image grounding', 'image_grounding'.
Created by nvidia
Four-step image referring-expression pipeline: turns images plus KITTI bounding-box labels into region descriptions, scene captions, grounded referring expressions, and (optionally) verified expressions via VLM distillation. Use when the user wants to generate referring-expression annotations from images with KITTI labels, build region descriptions, produce grouped grounding phrases tied to bboxes, run a double-check verification pass on grounding expressions, auto-label traffic / scene images for referring datasets, or run the image_referring_expression pipeline. Triggers include 'referring expression', 'region description', 'KITTI labels', 'spatial relationship annotation', 'auto-label image referring expression', 'image_referring_expression'.
Created by nvidia
Multi-step video annotation pipeline that turns raw videos into Chain-of-Thought training data — multi-level captions, structured descriptions, and QA pairs (MCQ, binary, open-ended) with reasoning traces, via VLM/LLM distillation. Use when the user wants to "create video training data", "generate video QA datasets", "build CoT reasoning traces from videos", "auto-label videos", or run the video_reasoning_annotation pipeline. Triggers include "video annotation", "video CoT", "video QA", "chain-of-thought", "video captioning pipeline", "video distillation".
Created by nvidia
The mandatory pre-launch gate and four-verb execution contract for every TAO workflow or action. Invoke BEFORE launching anything side-effecting — AutoML, train, evaluate, inference, export, TensorRT engine generation, or DEFT/application workflows — on any execution platform. Covers platform selection, credentials, image confirmation, dataset intake, preflight, the launch review, job records, monitoring, and failure/retry classification. Trigger phrases include "train this model", "run AutoML", "launch on SLURM/docker/k8s/brev/virtualenv", "evaluate my checkpoint", "start a TAO job".
Created by nvidia
Answer what the TAO Skill Bank plugin can do by generating the response from packaged application, data, model, AutoML, and platform manifests. Use when the user asks "what can TAO Skill Bank do", "list TAO models", "which TAO workflows are available", or "what supports AutoML".
Created by nvidia
Runs the DEFT embed-then-mine workflow for VCN AOI iterations — embeds the gap-analysis target parquet, embeds a source pool, and mines nearest-neighbour source images for downstream augmentation. Use as the immediate next step after `tao-route-visual-changenet-samples` when expanding a real-image augmentation queue from the mining subset.
Created by nvidia
Run TAO Data Services TMM nearest-neighbor mining from embedding parquet files. Use when a workflow needs to mine source samples closest to target samples.
Created by nvidia
Run TAO Data Services TMM unique-neighbor matching mining from embedding parquet files for object detection workflows. Use when an object detection workflow needs to mine a bijectively-assigned set of unique source images closest to target samples. Use global allocation when mining without class constraints. Use class_stratified when rare classes are specified.
Created by nvidia
Integrate a HuggingFace Computer Vision model into the NVIDIA TAO Toolkit ecosystem (tao-core config, tao-pytorch trainer, tao-deploy TensorRT pipeline). Use when the user asks to "integrate a HuggingFace model into TAO", "add an HF model to TAO Toolkit", "wire a HuggingFace ViT/DETR/ SegFormer into tao-pytorch", "build a TAO trainer + deploy pipeline for an HF CV model", or pastes a HuggingFace model URL/ID and wants it turned into a TAO model. Covers the full 7-phase loop: prerequisites check, HuggingFace inspection and validation, codebase exploration, tao-core configuration and native trainer implementation, ONNX export plus TensorRT deploy integration, packaging and L0 testing, container-based end-to-end validation, and (conditional) accuracy/latency tuning. Supports classification, object detection, semantic / instance / panoptic segmentation, zero-shot detection, and depth estimation.
Created by nvidia
Routes the weakest VCN samples (output of `tao-analyze-gaps-visual-changenet`) into per-augmentation-module subsets based on each module's label eligibility. Use when the user asks to "route VCN gap samples", "split AOI gaps for k-NN mining and AnomalyGen", or prepare the immediate next step after DEFT gap analysis in a VCN AOI SDA iteration.
Created by nvidia
Run container-backed AutoML / hyperparameter optimization (HPO) for NVIDIA TAO networks using AutoMLRunner. Handles algorithm selection (bayesian, hyperband, asha, bohb, llm, hybrid, autoresearch), WandB experiment tracking, job execution on any TAO SDK platform, result interpretation, and per-rec custom evaluation hooks. Use when the user mentions TAO AutoML, hyperparameter optimization, HPO, automl, automl_settings, AutoMLRunner, tao_automl, bayesian search, hyperband, ASHA, LLM-guided search, autoresearch, or wants to tune train/evaluate/inference/distill/prune/quantize for a TAO network. Model actions use the resolved image; venv training requires an explicit request. Platform-agnostic — runs on any SDK (Brev, SLURM, Kubernetes, Docker). Do not use generic "keep improving" language alone to override a matching domain-specific DEFT workflow; attribute-labelled CLIP / SigLIP image-retrieval loops belong to tao-run-deft-pas unless HPO is explicit.
Created by nvidia
Run the canonical NVIDIA AOI three-phase training pipeline — Phase 1 AutoML baseline (HPO), Phase 2 DEFT loop (RCA → SDG → mining → plain-train retrain), Phase 3 AutoML refinement on the DEFT-augmented dataset. Use when the user asks to "run the AOI workflow", "fine-tune my PCB AOI model end-to-end", "improve my AOI ChangeNet model", or "AOI workflow with AutoML" request — route here instead of tao-run-deft-aoi directly unless the user explicitly asks for the DEFT loop ONLY (e.g. "run JUST the DEFT loop", "skip AutoML, only DEFT"). Also handles the same three-phase pattern for non-AOI DEFT applications — AutoML baseline then DEFT loop warm-started from AutoML's winning HPs then post-DEFT AutoML refinement on the iteration-augmented dataset. Trigger phrases include "run the AOI workflow", "AOI end-to-end", "AutoML + DEFT", "AutoML then DEFT", "tune hyperparameters then DEFT", "DEFT with AutoML at both ends", "warm-start DEFT", "improve my AOI model".
Created by nvidia
Run the full DEFT AOI improvement loop for NVIDIA TAO VisualChangeNet / ChangeNet PCB inspection models: baseline evaluate, RCA, Cosmos AnomalyGen / AMP synthetic defects, k-NN mining, retraining, and deployment gating against a customer-defined primary metric and optional constraints. Use only when the request identifies an AOI / automated-optical-inspection, PCB-defect, VisualChangeNet, or ChangeNet workflow. Supports air-gapped/offline runs with pre-staged assets. Never infer AOI from generic iterative-improvement language. Do not use for CLIP / SigLIP image retrieval, attribute-labelled image data, standalone TAO training, one-off inference, generic anomaly generation, or RCA-only analysis.
Created by nvidia
Run the disk-backed DEFT AOI improvement loop for NVIDIA Cosmos Reason 3 / Cosmos3 models, using Nano by default and Edge or Super when explicitly requested: evaluate the base model on Proxy and frozen Benchmark splits, mine real image pairs from Proxy gaps, assemble a per-iteration Train JSON from selected Mining samples, train with cosmos-rl LoRA SFT, and repeat through the selected platform's submit/status/logs/cancel contract. This migration supports bare labels only: the assistant response must be exactly OK or NG. Use for "run Cosmos3 DEFT AOI", "CR3 AOI loop", or "improve Cosmos3 PCB inspection with bare OK/NG"; do not use for rich/reasoning annotation, one-off Cosmos training, or generic anomaly generation.
Created by nvidia
Run the mining-based DEFT improvement workflow for ITS Cosmos-Reason binary video questions, focused on the non-reasoning classification/evaluation path. Use when the user asks for a DEFT CR ITS mining workflow, traffic-camera Cosmos Reason improvement loop, collision-identification workflow with data mining, or iterative Cosmos-RL refinement driven by gap analysis.
Created by nvidia
Run the full DEFT smart-data-augmentation loop for NVIDIA TAO Grounding DINO object detection: zero-shot baseline inference, KPI analysis, per-class gap analysis, SigLIP embedding of weak images, unique-neighbor mining against a source pool, ODVG dataset staging, and retraining — repeated for a fixed number of iterations. Also prepares the source pool the loop mines from, as a separate run: Co-DETR pseudo-labeling, folding to the target classes, KITTI→COCO→ODVG conversion, and embedding. Use for prompts like "run the DEFT OD loop", "run smart data augmentation for grounding dino", "mine and retrain my detection model", "improve OD mAP with gap analysis and mining", "prep the source pool", or "pseudo-label my unlabeled images for mining"; do not use for standalone TAO training, one-off inference, or gap analysis alone.
Created by nvidia
Run iterative improvement for NVIDIA TAO CLIP / SigLIP image-text retrieval on attribute-labelled data. Use when a request combines retrieval evaluation, weak-attribute or caption-pair mining, repeated retraining, and a stopping condition based on a retrieval KPI, validation plateau, or iteration budget; the customer need not know the DEFT or People Attribute Search (PAS) names. The self-contained workflow performs dataset preparation, zero-shot evaluation, attribute gap analysis, caption-space k-NN mining, history-aware selection, retraining, and re-evaluation. Treat `tao-deft-pas` as shorthand for this canonical `tao-run-deft-pas` workflow. Do not use for standalone CLIP training, one-off evaluation or embedding, generic k-NN mining, or AOI/ChangeNet DEFT workflows.
Created by nvidia
Start, query, and stop a network-specific TAO inference microservice ({network_arch}-inference-microservice) by delegating container execution to the appropriate platform skill. Handles container image resolution, job-payload JSON construction, and the service registry. Use when the user wants to run inference on a TAO model checkpoint using a microservice container, deploy a TAO inference endpoint, or stop a running inference container.
Created by nvidia
Run a TAO training/evaluation/inference container on an NVIDIA Brev GPU instance. Instance provisioning (create/search/stop/delete/login) is delegated to the official brev-cli agent skill or the Brev MCP server; this skill covers only the TAO-specific part — running the container over `brev exec` via the four-verb docker contract. Trigger phrases include "run on Brev", "Brev GPU instance", "TAO on Brev", "submit job to Brev".
Created by nvidia
The Docker execution platform for TAO jobs — a local daemon or a remote GPU box via DOCKER_HOST=ssh://user@host. Implements the four-verb consumer contract (submit/status/logs/cancel) over the docker CLI, wired to the job-record, tao-data-io staging, and the redact lint, on top of the underlying docker conventions (--gpus, mounts, NGC auth, inspection, data-root relocation, error modes). Use to run any single-node TAO container action on Docker without the SDK. Trigger keywords — docker, docker run, run on docker, DOCKER_HOST, remote docker, nvcr.io, --gpus, single-node GPU job.
Created by nvidia
Kubernetes execution platform — submits TAO container jobs as k8s Jobs with NVIDIA GPU scheduling; single-pod for one node, Indexed Jobs for multi-node distributed training. Use when running on EKS / GKE / AKS / on-prem clusters with the NVIDIA GPU Operator installed, or when integrating TAO into an existing k8s-native ML platform.
Created by nvidia
Remote SLURM GPU cluster execution over SSH with sbatch/srun, Pyxis/Enroot containers, and Lustre-backed results. Use when running TAO training/eval/inference jobs on an on-prem or DGX SLURM cluster. Trigger phrases include "run on SLURM", "submit sbatch", "DGX SLURM cluster", "Pyxis/Enroot container", "Lustre dataset".
Created by nvidia
Run a Python training/eval script directly in an existing local virtualenv — no docker, no container. Implements the four-verb consumer contract (submit/status/logs/cancel) over a vendored process-lifecycle runner with durable on-disk state, PID-reuse-safe identity, and process-group cleanup. Use for docker-free local execution, plain-Python model scripts, fast HPO/AutoML trial smokes, or hosts where containers are unavailable. Trigger phrases include "run in my venv", "no docker", "virtualenv execution", "local python training", "run this training script directly".
Created by nvidia
One-time session setup and orchestration map for the TAO skill bank. Run this first when the TAO skills were installed individually (e.g. from a public skills catalog) so the session gets the cross-skill discovery flow, credential checks, and host preflight that the bundled plugin hook would otherwise inject automatically. Trigger phrases include "set up TAO skills", "TAO session setup", "prepare TAO environment", "TAO getting started".
Created by nvidia
Host setup for TAO GPU backends. Checks and, after user approval, installs minimum-compatible NVIDIA driver, CUDA Toolkit, and NVIDIA Container Toolkit versions for Docker/local-Docker and Kubernetes GPU worker hosts. TAO-wide defaults can be overridden by the selected model's runtime profile. The `--check-only` path works on any Linux distribution; `--install` automates debian-family (Ubuntu/Debian/Pop!_OS/Mint/Zorin/Raspbian), rhel-family (Fedora/RHEL/Rocky/AlmaLinux), and suse-family (openSUSE/SLES) hosts, and prints actionable manual-install steps for everything else. Use when the user asks to "set up an NVIDIA GPU host", "check TAO Docker GPU runtime", or prepare a Kubernetes GPU worker for TAO.
Created by nvidia
Action recognition from video sequences. Supports RGB, optical flow, and joint (multi-stream) input types for classifying temporal actions in video clips. Use when training, evaluating, exporting, or running inference on a TAO action-recognition model. Trigger phrases include "train action recognition", "video action classification", "RGB + optical flow action model", "TAO ActionRecognition".
Created by nvidia
BEVFusion for multi-sensor 3D object detection. Fuses LiDAR point clouds and camera images in bird's-eye-view (BEV) space, used in autonomous driving for robust 3D perception. Use when training, evaluating, or running inference for a TAO BEVFusion model. Trigger phrases include "train BEVFusion", "LiDAR + camera fusion", "BEV 3D detection", "multi-sensor 3D perception".
Created by nvidia
CenterPose for keypoint / pose estimation. Detects object centers and regresses keypoint locations for 6-DoF object pose estimation. Use when training, evaluating, exporting, or running inference for a TAO CenterPose model. Trigger phrases include "train CenterPose", "6-DoF object pose", "keypoint estimation", "object pose regression".
Created by nvidia
Co-DETR (CoDINO) for object detection. A DETR-family detector with collaborative hybrid assignment — auxiliary one-to-many heads supervise the encoder during training, giving strong closed-set accuracy at high inference cost. Use when training, evaluating, or running inference for a TAO Co-DETR model. Trigger phrases include "train Co-DETR", "run CoDINO", "codetr inference", "collaborative DETR", "autolabel detections with Co-DETR".
Created by nvidia
Deformable DETR for 2D object detection. Uses deformable attention for efficient multi-scale feature processing, lighter than DINO with competitive accuracy. Use when training, evaluating, exporting, quantizing, or running inference for a TAO Deformable-DETR model. Trigger phrases include "train deformable-detr", "Deformable DETR object detection", "lightweight DETR detector".
Created by nvidia
Monocular depth estimation using Metric Depth Anything v2 or Relative Depth Anything architectures. Predicts per-pixel depth from single RGB images. Use when training, evaluating, exporting, or running inference for a TAO monocular depth model. Trigger phrases include "train monocular depth", "DepthAnything v2", "metric depth from single image", "monocular depth estimation".
Created by nvidia
DINO (DETR with Improved DeNoising Anchor Boxes) for 2D object detection. Transformer-based detector with denoising training, multi-scale features, and optional distillation support. Use when training, evaluating, exporting, distilling, quantizing, or running inference for a TAO DINO detector. Trigger phrases include "train DINO", "DETR object detection", "TAO 2D detection", "DINO with distillation".
Created by nvidia
DINOv3 continual self-supervised pre-training. Domain-adapts public DINOv3 ViT backbones on unlabeled images via teacher-student self-distillation (DINO + iBOT + KoLeo, optional Gram anchoring) and converts the EMA teacher into a timm-format backbone for downstream tasks. Trigger phrases include "train DINOv3", "DINOv3 SSL", "domain-adapt a foundation backbone", "continual pretraining", "self-supervised finetune DINOv3".
Created by nvidia
Real-time stereo depth estimation using FastFoundationStereo (FFS), the distilled bp2 commercial variant of FoundationStereo. Predicts disparity maps from stereo image pairs with ~10× lower latency than full FoundationStereo. Use when training, evaluating, exporting, or running inference for a TAO FastFoundationStereo (FFS) model. Trigger phrases include "train fast stereo", "real-time stereo disparity", "FastFoundationStereo", "distilled stereo depth".
Created by nvidia
Stereo depth estimation using FoundationStereo. Predicts disparity maps from stereo image pairs for 3D reconstruction. Use when training, evaluating, exporting, or running inference for a TAO FoundationStereo model. Trigger phrases include "train stereo depth", "FoundationStereo", "stereo disparity estimation", "3D reconstruction from stereo".
Created by nvidia
Grounding DINO for open-set object detection. Combines DINO-style detection with a BERT text encoder for language-guided detection — detects objects described by text prompts without a fixed class vocabulary. Use when training, evaluating, exporting, quantizing, or running inference for a TAO Grounding DINO model. Trigger phrases include "train Grounding DINO", "open-vocabulary detection", "text-prompted detector", "language-guided object detection".
Created by nvidia
PyTorch-based TAO image classification. Supports a wide range of backbones (FAN, EfficientNet, ResNet, etc.) with distillation and quantization for deployment. Use when training, evaluating, distilling, quantizing, exporting, or running inference for a TAO image-classification (PyT) model. Trigger phrases include "train image classifier", "TAO classification", "ResNet/EfficientNet/FAN backbone classifier", "classification-pyt".
Created by nvidia
Masked Auto-Encoder (MAE) for self-supervised pretraining and fine-tuning. Masks random patches and reconstructs them to learn visual representations; supports pretrain and finetune stages. Use when training, evaluating, exporting, or running inference for a TAO MAE backbone. Trigger phrases include "pretrain MAE", "self-supervised vision pretraining", "Masked Autoencoder", "Mask Auto-Encoder", "MAE fine-tune".
Created by nvidia
MAL (Mask Auto-Label) for weakly-supervised segmentation. Produces segmentation masks from minimal annotations (point or box annotations) using a ViT-MAE backbone. Use when training, evaluating, or running inference for a TAO MAL model. Trigger phrases include "train MAL", "Mask Auto-Label", "weakly-supervised segmentation", "box-prompted segmentation", "minimal-annotation mask prediction".
Created by nvidia
Mask Grounding DINO for grounded instance segmentation. Extends Grounding DINO with a mask-prediction head for open-set segmentation guided by text prompts. Use when training, evaluating, exporting, quantizing, or running inference for a TAO Mask-Grounding-DINO model. Trigger phrases include "train Mask Grounding DINO", "open-vocabulary segmentation", "text-prompted instance segmentation", "grounded mask DETR".
Created by nvidia
Mask2Former for universal image segmentation (panoptic, instance, and semantic). Transformer-based with masked attention for high-quality segmentation results. Use when training, evaluating, exporting, quantizing, or running inference for a TAO Mask2Former model. Trigger phrases include "train Mask2Former", "universal segmentation", "panoptic / instance / semantic segmentation", "masked-attention transformer segmenter".
Created by nvidia
Metric-learning recognition (ml-recog) for fine-grained visual recognition. Learns embeddings for retrieval-based matching (e.g., retail product recognition) using triplet / contrastive losses. Use when training, evaluating, exporting, or running inference for a TAO metric-learning recognition model. Trigger phrases include "train metric learning", "ml-recog", "retrieval embeddings", "triplet loss recognition", "fine-grained matching".
Created by nvidia
NVDINOv2 for self-supervised visual representation learning. Trains vision transformers via self-distillation (teacher-student) without labels and produces general-purpose visual features. Use when training, exporting, or running inference for a TAO NVDINOv2 backbone. Trigger phrases include "train NVDINOv2", "self-supervised ViT pretraining", "DINOv2 backbone", "visual representation learning".
Created by nvidia
NVPanoptix3D for panoptic 3D scene reconstruction from posed RGB images. Produces 3D panoptic segmentation (semantic, instance, and panoptic masks) with occupancy completion. Built on a VGGT backbone with a Mask2Former-style head and 3D frustum reconstruction. Use when training, evaluating, exporting, or running inference for a TAO NVPanoptix3D model. Trigger phrases include "train NVPanoptix3D", "panoptic 3D reconstruction", "3D scene segmentation", "occupancy completion".
Created by nvidia
OCDNet for scene text detection. Detects arbitrary-oriented text regions in natural images using a differentiable binarization approach. Use when training, evaluating, exporting, pruning, quantizing, retraining, or running inference for a TAO OCDNet model. Trigger phrases include "train OCDNet", "scene text detection", "arbitrary-oriented text boxes", "differentiable binarization detector".
Created by nvidia
OCRNet for scene text recognition. Recognizes text content from cropped text-region images and supports CTC and attention-based decoders. Use when training, evaluating, exporting, pruning, quantizing, retraining, or running inference for a TAO OCRNet model. Trigger phrases include "train OCRNet", "scene text recognition", "OCR cropped text", "CTC / attention text decoder".
Created by nvidia
OneFormer for universal image segmentation. Unifies panoptic, instance, and semantic segmentation with a single architecture using task-conditioned queries. Use when training, evaluating, exporting, quantizing, or running inference for a TAO OneFormer model. Trigger phrases include "train OneFormer", "universal segmentation", "task-conditioned segmentation", "panoptic / instance / semantic in one model".
Created by nvidia
Optical Inspection for defect detection using Siamese networks. Compares image pairs to detect manufacturing defects, anomalies, or quality issues. Use when training, evaluating, exporting, or running inference for a TAO Optical Inspection model on AOI / quality-control data. Trigger phrases include "train optical inspection", "AOI defect detection", "Siamese defect classifier", "PCB / manufacturing inspection".
Created by nvidia
PointPillars for 3D object detection from LiDAR point clouds. Encodes point clouds into a pseudo-image via a pillar-based representation, then applies 2D detection — used in autonomous driving and robotics. Use when training, evaluating, exporting, pruning, retraining, or running inference for a TAO PointPillars model. Trigger phrases include "train PointPillars", "LiDAR 3D detection", "point-cloud object detection", "pillar-based 3D detector".
Created by nvidia
Pose classification using ST-GCN (Spatial Temporal Graph Convolutional Network). Classifies skeleton sequences into action categories from pose-keypoint data. Use when training, evaluating, exporting, or running inference for a TAO pose-classification model. Trigger phrases include "train pose classification", "skeleton action recognition", "ST-GCN", "keypoint sequence classifier".
Created by nvidia
Person re-identification (ReID). Learns discriminative embeddings to match the same person across different camera views, based on metric learning. Use when training, evaluating, exporting, or running inference for a TAO person re-identification model. Trigger phrases include "train ReID", "person re-identification", "cross-camera person matching", "ReID embeddings", "person re-id".
Created by nvidia
RT-DETR (Real-Time DEtection TRansformer) for 2D object detection. Designed for real-time inference with competitive accuracy and supports distillation and quantization for deployment optimization. Use when training, evaluating, distilling, quantizing, exporting, or running inference for a TAO RT-DETR model. Trigger phrases include "train RT-DETR", "real-time DETR", "low-latency object detection", "RT-DETR distillation / quantization".
Created by nvidia
SegFormer for semantic segmentation. Lightweight transformer-based architecture with hierarchical feature extraction, efficient for real-time segmentation tasks. Use when training, evaluating, exporting, quantizing, or running inference for a TAO SegFormer model. Trigger phrases include "train SegFormer", "semantic segmentation", "lightweight transformer segmenter", "real-time semantic segmentation".
Created by nvidia
Standard single-step train/eval/export workflow for any TAO model. Use when training a TAO model on a dataset without iterative data augmentation, AutoML, or DEFT loops. Trigger phrases include "single train run", "train then evaluate then export", "plain TAO training", "normal training", "no AutoML", "skip the loop". Routes through the per-model SKILL.md for action specifics and through `tao-launch-workflow` for platform/credentials/dataset intake.
Created by nvidia
Sparse4D for multi-camera temporal 3D object detection and tracking. Uses sparse queries with deformable attention across camera views and time for end-to-end 3D perception, with an instance bank for temporal tracking. Use when training, evaluating, exporting, quantizing, or running inference for a TAO Sparse4D model. Trigger phrases include "train Sparse4D", "multi-camera 3D detection", "temporal 3D tracker", "sparse query 3D perception".
Created by nvidia
Visual ChangeNet for binary image classification and segmentation in AOI defect detection. Use when training, evaluating, exporting, or running inference for PCB defect detection or visual inspection, comparing image pairs for PASS/NO_PASS classification, or producing change-segmentation masks. Trigger phrases include "train Visual ChangeNet", "ChangeNet classify", "ChangeNet segment", "AOI defect detection", "PCB inspection model".
Created by nvidia
Run `tao-daft validate` to check NVIDIA TAO DAFT datasets for structure, schema, and cross-reference errors. Do not use for non-DAFT formats. Use when the user asks to validate a DAFT dataset, check DAFT schema, validate a TAO dataset format, or run `tao-daft validate`.
Created by nvidia
Port a published computer vision paper's official code and training recipe onto a customer's own dataset, or diagnose why such a transfer produced bad numbers. Use this whenever someone wants to reproduce a CV paper, run a paper's repo on their own images, fine-tune a published detection/segmentation/classification/keypoint model on customer data, adapt a training recipe to a new dataset, or figure out why a fine-tuned vision model scores well on validation but fails in production. Also use for post-mortems on any failed or disappointing CV training run, and whenever a user mentions mAP that looks too good, a model that "worked in training but not in deployment", or transferring hyperparameters from a paper to their own data. Trigger even if the user only says "train a model on my dataset" and a published architecture or repo is involved.
Created by mvanhorn
Control your Tesla vehicles — lock/unlock, climate, location, charge status, and more. Supports multiple vehicles via Tesla Fleet API.
Created by steipete
Manage Things 3 via the `things` CLI on macOS (add/update projects+todos via URL scheme; read/search/list from the local Things database). Use when a user asks Clawdbot to add a task to Things, list inbox/today/upcoming, search tasks, or inspect projects/areas/tags.
Created by aws
Run an AWS Security Agent threat model review on spec/design documents. Use when the user asks to review a spec for security, run a threat model, check if a design introduces security risks, review requirements.md or design.md for security posture changes, or STRIDE analysis.
Created by nvidia
Add a new cuTile GPU kernel operator to TileGym. Covers dispatch registration in ops.py, cuTile backend implementation, __init__.py exports, test creation, and benchmark in tests/benchmark. Use when adding, creating, or implementing a new cuTile operator/kernel in TileGym, or when asking how to register a new cuTile op.
Created by nvidia
Converts cuTile Python GPU kernels (@ct.kernel) to cuTile.jl Julia equivalents. Handles kernel syntax translation, 0-indexed to 1-indexed conversion, broadcasting differences, memory layout (row-major to column-major), type system mapping, and launch API differences. Use when converting, porting, or translating cuTile Python kernels to Julia cuTile.jl, or debugging/optimizing existing Julia cuTile translations.
Created by nvidia
Converts cuTile GPU kernels (@ct.kernel) to Triton (@triton.jit). Handles standard in-repo conversion, debugging (cudaErrorIllegalAddress, shape mismatch, numerical mismatch), and mapping cuTile idioms (ct.load/ct.store, ct.Constant, ct.launch) to Triton equivalents. Covers dual-kernel layout flags (e.g. transpose=True/False + autotune grid via META) per translations/advanced-patterns.md. Use when converting, porting, or translating cuTile kernels to Triton, or debugging existing Triton translations.
Created by nvidia
Use when adding, modifying, optimizing, or debugging CuTile autotuning code. Trigger signals: `exhaustive_search` / `replace_hints` / `hints_fn` / `cuda.tile.tune` in code, `autotune` in filenames, or correctness/performance issues in autotuned CuTile kernels. Covers: tune-once/cache/launch pattern, per-architecture configs (sm80–sm120), parameter space design (tile sizes, occupancy, num_ctas), and 7 common pitfalls with solutions.
Created by nvidia
Expert cuTile programming assistant. Write high-performance GPU kernels using cuTile's tile-based programming model with proper validation and optimization. Supports deep agent orchestration for complex multi-kernel tasks.
Created by nvidia
Iteratively optimize cuTile kernel performance through systematic profiling, bottleneck analysis, IR comparison, and targeted tuning. Covers tile sizes, occupancy, autotune configs, TMA, latency hints, persistent scheduling, num_ctas, flush_to_zero, and IR-level debugging. Use when asked to "optimize cutile kernel", "improve kernel perf", "tune cutile performance", "make kernel faster", or iteratively benchmark and refine a cuTile GPU kernel in the TileGym project.
Created by nvidia
Integrate TileGym kernels into Hugging Face `transformers` models by replacing the library's submodule(s) and certain class(es)' implementations, and patching certain class(es)' init/forward/load weight methods prior to instantiating models. Used when the user requires integrating TileGym kernels into `transformers` models.
Created by aws
Retrieves authoritative guidance on Amazon Timestream for InfluxDB (managed InfluxDB 2, InfluxDB 2 Read Replica Clusters, InfluxDB 3 Core and Enterprise). Applicable to any InfluxDB-on-AWS request including engine selection, provisioning (Marketplace + AmazonTimestreamInfluxDBFullAccess/ConsoleFullAccess IAM), schema design (tags vs fields, cardinality, HTTP/sensor/metric data modeling), migration from LiveAnalytics, Processing Engine plugins, connectivity (port 8086 V2, port 8181 V3, VPC-only by default), and write/query errors.
Created by tinyfish
Use TinyFish for web search, fetching URLs, reading pages, current information, source-backed answers, research, docs, pricing/product pages, extraction, scr...
Created by steipete
Remote-control tmux sessions for interactive CLIs by sending keystrokes and scraping pane output.
Created by nvidia
Train, evaluate, and export Workflow RL policies
Created by huggingface
Use Transformers.js to run state-of-the-art machine learning models directly in JavaScript/TypeScript. Supports NLP (text classification, translation, summar...
Created by aws
Configures AWS Transit Gateway: creating a hub and attaching VPCs, segmenting traffic with route tables, centralizing egress and inspection through a hub (appliances or a Gateway Load Balancer endpoint), forcing east-west traffic between VPCs through AWS Network Firewall, connecting on-premises networks over the transit-gateway side of a Site-to-Site VPN or Direct Connect attachment (including ECMP to aggregate bandwidth across multiple VPN tunnels), peering transit gateways across Regions, migrating from a VPC peering mesh, and routing IP multicast. Applicable when connecting many VPCs through one router, isolating environments, forcing VPC-to-VPC traffic through a central Network Firewall, reaching on-premises over the hub, linking Regions, or moving off a peering mesh. Not applicable for single-VPC routing, VPC peering between two VPCs (vpcpeering skill), Direct Connect gateway or virtual interface setup (directconnect skill), or Route 53 DNS work.
Created by steipete
Manage Trello boards, lists, and cards via the Trello REST API.
Created by aws
Troubleshoots failing applications by discovering and analyzing CloudWatch log groups to identify error patterns, root causes, and actionable solutions. Use when an application is experiencing failures and log-based diagnosis is needed.
Created by aws
Diagnoses and resolves Amazon EFS issues including mount failures, NFS timeouts, permission errors, throughput problems, and burst credit exhaustion. Use when the user has an EFS file system that is not mounting, returning errors, performing slowly, or showing access denied.
Created by aws
Diagnoses and resolves Amazon S3 Files issues including mount failures, permission errors, synchronization problems, and performance issues. Use when the user has an S3 file system that is not mounting, returning access denied, not syncing changes to S3, showing files in lost+found, or performing slower than expected.
Created by nvidia
Diagnose and optimize OpenUSD scene performance
Created by vibethon
Join a live Vibethon vibe-coding battle and compete as a player by prompting — the agent sends prompts, Vibethon builds the app, the audience votes. Use this...
Created by steipete
Extract frames or short clips from videos using ffmpeg.
Created by steipete
Download videos, audio, subtitles, and clean paragraph-style transcripts from YouTube and any other yt-dlp supported site. Use when asked to “download this video”, “save this clip”, “rip audio”, “get subtitles”, “get transcript”, or to troubleshoot yt-dlp/ffmpeg and formats/playlists.
Created by nvidia
Use this skill to ask the VSS agent's video_understanding tool a fresh visual question about a recorded clip. Not for prior tool output, search hits, or metadata-answerable questions.
Created by nvidia
Use this skill when deploying standalone RT-VLM dense captioning or calling its REST API (uploads, captions, streams, chat-completions, Kafka). Not for VSS profile deploy or video-search ingestion.
Created by nvidia
Use this skill when the user wants to deploy, run, debug, tear down, or call the REST API of the RTVI-CV 2D detection / tracking microservice. Trigger when the user says things like 'deploy rtvi-cv', 'start warehouse 2d', 'add a stream', 'check rtvi-cv health', or 'stop the perception container'. Not for VLM, embedding, or analytics — use the matching vss-* skill.
Created by nvidia
Deploy and operate the RTVI-CV-3D microservice as MV3DT (`MODE=mv3dt`): per-camera DeepStream perception plus BEV Fusion over calibrated cameras. Supports the bundled sample dataset, custom video files, and RTSP streams, and chains to `vss-generate-video-calibration` when calibration is missing. Use `vss-deploy-profile` for the full warehouse blueprint and `vss-deploy-detection-tracking-2d` for single-camera 2D detection.
Created by nvidia
Use to select, configure, deploy, verify, debug, or tear down a VSS profile (base, search, lvs, warehouse, edge). Not for standalone microservices — use the vss-deploy-* skill.
Created by nvidia
Use this skill when deploying, operating, or integrating the VSS 3.2 GA RT-Embed Video Embedding microservice. Covers Docker Compose bring-up, GPU and storage prerequisites, the `/v1` REST API (file uploads, text and video embeddings, live RTSP streams, health and metrics), Redis/Kafka/OTel integration, common failure modes, and teardown.
Created by nvidia
Use to run AutoMagicCalib on local MP4s, RTSP, or the bundled sample dataset, and to deploy vss-auto-calibration when needed. Do not use for non-AMC calibration or runtime analytics.
Created by nvidia
Use this skill when producing a VSS analysis report — Mode A per-clip VLM, Mode B incident-range via video-analytics. Not for standalone video summarization, real-time alerts or ad-hoc Q&A.
Created by nvidia
Use for VSS alert workflows — real-time monitoring, Alert-Bridge subscriptions, Slack notifications, incident queries, camera onboarding. Not for non-alert analytics.
Created by nvidia
Use to call the VIOS REST API (sensor list, timelines, clip extraction, snapshots, add/delete sensors and streams). Not for VLM inference or search.
Created by nvidia
Use this skill when reading video-analytics metrics, incidents, alerts, and sensor data via the VA-MCP server (port 9901). Not for live VLM or incident-range narrative reports.
Created by nvidia
Use this skill to run top-level VSS fusion search on archived video, or to ingest video files / RTSP streams for search. Do NOT use for ad-hoc visual Q&A (use vss-ask-video), live captioning (use vss-deploy-dense-captioning), or video summarization and reports (use vss-summarize-video).
Created by nvidia
Use to deploy the vss-behavior-analytics service standalone (entrypoint, config-source, optional calibration). Not for the full warehouse deploy.
Created by nvidia
Use to deploy the vss-video-analytics-api REST service standalone (config-source, data-log bind, Elasticsearch, optional Kafka). Not for full warehouse deploy.
Created by nvidia
Use to summarize a recorded video via the LVS summarization microservice (HITL-gated) with a VLM fallback. Not for report generation or live RTSP captioning.
Created by aws
Configures AWS WAF to filter web traffic: creating web access control lists (web ACLs) on CloudFront, Application Load Balancers, API Gateway, and AppSync; AWS Managed Rules tuned in Count mode; rate-based rules for HTTP floods; IP set and geographic match rules; Bot Control (Common and Targeted); turning bot labels into a confidence signal; stripping spoofed inbound x-amzn-waf-* headers; recovering the real client IP behind a CDN; Fraud Control (account takeover and account creation fraud prevention); and logging and request sampling. Use when the user wants to protect a web application or API from common exploits, bots, credential stuffing, fake-account creation, or HTTP floods at the application layer (layer 7). Routes to the right per-task procedure in references. Do NOT use for L3/L4 DDoS protection (shieldadvanced skill), multi-account WAF rollout (firewallmanager skill), CloudFront configuration (cloudfront skill), or Route 53 health checks or records (route53 skill).
Created by nvidia
Use when compile time or startup time is the problem in code that uses Warp: a request to improve, optimize, or cut compile times; an app that is slow to start or stalls at the first wp.launch; seconds of compiling before real work begins; JIT modules recompiling on every run or every CI job. Only applies when the code being optimized uses Warp kernels. Not for steady-state kernel runtime, memory, correctness, building Warp itself from source, or nvcc/C++ build times.
Created by nvidia
Use to diagnose and fix incorrect gradients in differentiable Warp programs. Anything trained, optimized, calibrated, or fit through Warp kernels depends on wp.Tape gradients, so treat any misbehavior of such a workflow as a gradient problem until proven otherwise — use this when training diverges or NaNs, won't train at all, stalls or plateaus above the expected loss, converges to a wrong or biased answer, is worse than a reference implementation, works at small scale but fails at production scale, or fails a QA/validation recheck. Also for explicit symptoms — exploding, NaN/inf, zero, or subtly wrong gradients, suspected wp.Tape/backward issues, gradcheck failures — but users usually describe only the surface symptom ("the sim explodes", "the fit gets dragged toward outliers") without mentioning gradients: make that leap. Not for forward-only Warp work, build/install problems, or autograd issues in other frameworks without Warp.
Created by nvidia
Evaluate whether an existing hot path is a credible NVIDIA Warp candidate. Use for irregular or spatial queries, particle or geometry simulation, branch-heavy loops, many small launches, host fallbacks, or large intermediates. CPU-only code and absent GPU dependencies are normal unless NVIDIA is prohibited. Exclude required cross-vendor or CPU-only deployment, vendor-lowered dense or NN layers, general Warp API questions, and already-selected Warp kernels. Contribution policy alone is not exclusion.
Created by steipete
Get current weather and forecasts (no API key required).
Created by zai-org
Frontend visual replication skill. Explores a target website’s publicly visible pages via Playwright MCP or agent-browser, captures screenshots and layout in...
Created by heygen-com
Capture a general website/URL and turn it into a video OF the site — tour, showcase, or social clip built from captured screenshots and the site's own brand...
Created by mvanhorn
Chat with Grok models via xAI API. Supports Grok-4, Grok-4.20, Grok-3, Grok-3-mini, vision, and real-time X search.
Created by antgroup
极酷电动车车辆信息查询,支持查询用户绑定的车辆列表、车辆实时状态、历史骑行轨迹
Created by alipay
支付宝 AI 付接入 Skill。当用户选择完成 AI 按量付费、AI 网页应用收款、AI 移动应用收款三类支付宝收单产品的代码开发、产品开通或全流程同时完成两者时,使用此 Skill。 触发关键词:"AI支付"、"接支付宝"、"一站式接支付宝"、"接个支付"、"开发支付"、"402收款"、"AI按量付费"、"AI网页应用收款"、"AI移动应用收款"、"按量付费"、"快捷收款"、"快捷收单"、"网站支付"、"APP 支付"、"产品开通"、"商家开通"、"签约入驻"等。
Created by openclaw
OpenClaw ComfyUI provider plugin.
Created by openclaw
OpenClaw ACP runtime backend with plugin-owned session and transport management.
Created by agentmail
AgentMail for OpenClaw: Official email plugin and email channel for OpenClaw. Your agent gets its own inbox.
Created by openclaw
Bases, tables, and records from your Airtable workspace.
Created by openclaw
Algolia search: indices, analytics, and settings (read-only).
Created by sdk-team
alibabacloud-core
Created by sdk-team
alibabacloud-domain — DomainCLI business workflows
Created by sdk-team
Alibabacloud Ecs Ops
Created by sdk-team
alibabacloud-spec-ops
Created by openclaw
AllTrails: find hikes and trails with reviews and ratings.
Created by openclaw
OpenClaw Amazon Bedrock provider plugin with model discovery, embeddings, and guardrail support.
Created by openclaw
OpenClaw Amazon Bedrock Mantle provider plugin for OpenAI-compatible model routing.
Created by openclaw
Amplitude analytics: charts, dashboards, experiments, flags.
Created by openclaw
OpenClaw Anthropic Vertex provider plugin for Claude models on Google Vertex AI.
Created by apify
Web scraping and AI-powered data extraction via Apify for OpenClaw — market research, competitor intelligence, trend analysis, lead generation, e-commerce, social media analytics, and more.
Created by openclaw
Jira issues and Confluence pages via Atlassian's hosted remote MCP.
Created by openclaw
CRM records, lists, and notes in Attio.
Created by aws
Guarded x402 v2 payments for OpenClaw through AWS AgentCore Payments
Created by openclaw
Authoritative AWS docs, API references, and best practices.
Created by openclaw
OpenClaw Baseten provider plugin.
Created by openclaw
Better Stack: logs, uptime monitors, incidents, and status pages.
Created by openclaw
OpenClaw Brave Search provider plugin for web search.
Created by openclaw
Company spending and financial account data through Brex's official MCP service.
Created by openclaw
CI/CD pipelines, builds, and test results from Buildkite.
Created by openclaw
Connect OpenClaw agents to Buzz rooms
Created by openclaw
Scheduling links, events, and invitees from Calendly.
Created by openclaw
Create, search, and manage Canva designs.
Created by openclaw
CircleCI: diagnose build failures, read logs, rerun workflows.
Created by openclaw
Sales research and enrichment workflows through Clay's official MCP service.
Created by openclaw
OpenClaw ClickClack channel plugin
Created by openclaw
Tasks, docs, and workspaces in ClickUp.
Created by openclaw
Sales CRM: leads, opportunities, calls, and emails.
Created by openclaw
Cloudflare R2 storage provider for OpenClaw.
Created by openclaw
Upload, search, and transform media assets in Cloudinary.
Created by openclaw
OpenClaw Codex app-server harness and native session supervision plugin.
Created by openclaw
OpenClaw Cohere provider plugin.
Created by openclaw
Generate images, video, audio, and 3D on Comfy Cloud.
Created by composio
Connect OpenClaw to 1,000+ apps through the Composio CLI
Created by openclaw
Up-to-date, version-specific library docs and code examples.
Created by openclaw
Craft: structured docs, tasks, and personal knowledge base.
Created by openclaw
Logs, monitors, dashboards, and incidents from Datadog.
Created by openclaw
Ask questions about any public GitHub repo (Devin's DeepWiki).
Created by openclaw
OpenClaw diagnostics OpenTelemetry exporter for metrics, traces, and logs.
Created by openclaw
OpenClaw diagnostics Prometheus exporter for runtime metrics.
Created by openclaw
OpenClaw diffs viewer syntax highlighting language pack
Created by openclaw
OpenClaw read-only diff viewer plugin and file renderer for agents.
Created by openclaw
OpenClaw Discord channel plugin for channels, DMs, commands, and app events.
Created by openclaw
Search, read, and manage files in Dropbox.
Created by openclaw
Diagram creation and rendering through Excalidraw's official MCP service.
Created by expediagroup
OpenClaw plugin for live hotel and flight search via Expedia Travel Adapter
Created by openclaw
Experimental FaceTime realtime voice carrier for OpenClaw agents
Created by openclaw
OpenClaw Featherless AI provider plugin.
Created by openclaw
OpenClaw Feishu/Lark channel plugin for chats and workplace tools (community maintained by @m1heng).
Created by openclaw
Meeting transcripts, summaries, and action items.
Created by openclaw
OpenClaw Fireworks provider plugin
Created by openclaw
OpenClaw Fish Audio speech plugin.
Created by openclaw
OpenClaw GitHub Copilot agent runtime plugin (registers a `github-copilot` AgentHarness backed by @github/copilot-sdk over JSON-RPC to the GitHub Copilot CLI)
Created by openclaw
GitLab: issues, merge requests, pipelines, and repo context.
Created by openclaw
Ping, traceroute, DNS, and HTTP tests from global probes.
Created by openclaw
OpenClaw GMI Cloud provider plugin.
Created by openclaw
Public domain suggestions and availability through GoDaddy Domains's official MCP service.
Created by openclaw
OpenClaw Google Chat channel plugin for spaces and direct messages.
Created by openclaw
OpenClaw Google Meet participant plugin for joining calls through Chrome or Twilio transports.
Created by openclaw
Query metrics, logs, dashboards, alerts, and incidents from Grafana Cloud.
Created by openclaw
Search meeting notes, summaries, and transcripts from your Granola workspace.
Created by heygen-com
HeyGen Video Agent provider plugin for OpenClaw — first-class avatar/presenter video generation via OpenClaw's video_generate tool.
Created by honcho-ai
Honcho AI-native memory integration for OpenClaw
Created by openclaw
Models, datasets, Spaces, and papers from the Hugging Face Hub.
Created by openclaw
OpenClaw iMessage channel plugin using imsg on a signed-in Mac
Created by openclaw
Search jobs and listings on Indeed.
Created by openclaw
Conversations, tickets, and customer data from Intercom.
Created by openclaw
OpenClaw Inworld speech plugin.
Created by openclaw
OpenClaw IRC channel plugin
Created by openclaw
Kiwi.com flight search: itineraries with direct booking links.
Created by openclaw
Klaviyo marketing: campaigns, flows, segments, and reporting.
Created by openclaw
OpenClaw LINE channel plugin for LINE Bot API chats.
Created by openclaw
Find, create, and update Linear issues, projects, and comments.
Created by openclaw
OpenClaw provider for managed and external llama.cpp servers
Created by openclaw
Lobster workflow tool plugin for typed pipelines and resumable approvals.
Created by openclaw
OpenClaw LongCat provider plugin.
Created by martian-engineering
Lossless Context Management plugin for OpenClaw — DAG-based conversation summarization with threshold compaction
Created by openclaw
OpenClaw Matrix channel plugin for rooms and direct messages.
Created by openclaw
OpenClaw Mattermost channel plugin
Created by mem0
Mem0 memory backend for OpenClaw — platform or self-hosted open-source
Created by openclaw
OpenClaw LanceDB-backed long-term memory plugin with auto-recall, auto-capture, and vector search.
Created by openclaw
OpenClaw Meta provider plugin.
Created by openclaw
Official Microsoft, Azure, and .NET docs and code samples.
Created by openclaw
OpenClaw Microsoft Teams channel plugin for bot conversations.
Created by openclaw
OpenClaw Microsoft Teams browser meeting participant plugin.
Created by openclaw
Read and edit Miro boards, diagrams, and frames.
Created by openclaw
Mixpanel analytics: events, funnels, retention, dashboards.
Created by openclaw
Boards, items, docs, and workflows in monday.com.
Created by openclaw
OpenClaw Moonshot provider plugin
Created by openclaw
MotherDuck: query DuckDB cloud warehouses with SQL.
Created by openclaw
OpenClaw MXC sandbox execution plugin for MXC-capable hosts
Created by openclaw
Neon serverless Postgres: projects, branches, and SQL.
Created by openclaw
Sites, deploys, and env vars via Netlify's hosted MCP.
Created by openclaw
OpenClaw Nextcloud Talk channel plugin for conversations.
Created by openclaw
OpenClaw Nostr channel plugin for NIP-04 encrypted direct messages.
Created by openclaw
Pages and databases from your Notion workspace.
Created by openclaw
Minimal credential-free OCF Fleet plugin-install acceptance fixture.
Created by openclaw
Local ONNX decision models for OpenClaw
Created by openclaw
OpenClaw Arcee provider plugin.
Created by openclaw
OpenClaw BlueBubbles channel plugin
Created by openclaw
OpenClaw BytePlus provider plugin.
Created by openclaw
OpenClaw Cerebras provider plugin.
Created by openclaw
OpenClaw Chutes.ai provider plugin.
Created by openclaw
OpenClaw Cloudflare AI Gateway provider plugin.
Created by openclaw
OpenClaw DeepInfra provider plugin.
Created by openclaw
OpenClaw DeepSeek provider plugin.
Created by openclaw
OpenClaw DuckDuckGo plugin.
Created by openclaw
OpenClaw Exa plugin.
Created by openclaw
OpenClaw Firecrawl plugin.
Created by openclaw
OpenClaw Gradium speech plugin.
Created by openclaw
OpenClaw Groq media-understanding provider.
Created by openclaw
OpenClaw Kilo Gateway provider plugin.
Created by openclaw
OpenClaw Kimi provider plugin.
Created by openclaw
OpenClaw Mistral provider plugin
Created by openclaw
OpenClaw NovitaAI provider plugin
Created by openclaw
OpenClaw Parallel web search plugin.
Created by openclaw
OpenClaw Perplexity plugin.
Created by openclaw
OpenClaw Qianfan provider plugin.
Created by openclaw
OpenClaw Qwen Cloud provider plugin.
Created by openclaw
OpenClaw Synthetic provider plugin.
Created by openclaw
OpenClaw Volcengine provider plugin.
Created by openclaw
OpenClaw Voyage embedding provider plugin.
Created by openclaw
OpenClaw Vydra media provider plugin.
Created by openclaw
OpenClaw Xiaomi provider plugin.
Created by openclaw
OpenClaw OpenCode Zen provider plugin
Created by openclaw
OpenClaw sandbox backend for the NVIDIA OpenShell CLI with mirrored local workspaces and SSH command execution.
Created by openclaw
Meeting transcripts and summaries through Otter.ai's official MCP service.
Created by openclaw
Payments, invoices, and subscriptions via PayPal's hosted MCP.
Created by openclaw
OpenClaw PixVerse video generation provider plugin.
Created by openclaw
Plaid dashboard: integrations, Items, and usage debugging.
Created by openclaw
Product analytics and project data through PostHog's official MCP service.
Created by openclaw
Postman workspaces, collections, environments, and APIs.
Created by openclaw
Create and manage Prisma Postgres databases.
Created by openclaw
OpenClaw QQ Bot channel plugin for group and direct-message workflows.
Created by openclaw
OpenClaw Radius model gateway provider plugin.
Created by openclaw
OpenClaw Raft channel plugin for Raft CLI wake bridges.
Created by openclaw
Railway: projects, services, deployments, and environments.
Created by openclaw
Robinhood agentic trading: portfolio, balances, and orders.
Created by openclaw
OpenClaw SearXNG plugin
Created by openclaw
Scan code for security vulnerabilities with Semgrep.
Created by openclaw
Issues, stack traces, and error context from Sentry.
Created by openclaw
OpenClaw offline local text-to-speech plugin using sherpa-onnx.
Created by shopify
Shopify AI Toolkit — agent skills to search Shopify docs, generate and validate GraphQL, Liquid, and UI extension code, and manage stores through the Shopify CLI.
Created by openclaw
OpenClaw Signal channel plugin
Created by openclaw
OpenClaw Slack channel plugin for channels, DMs, commands, and app events.
Created by openclaw
OpenClaw Slack huddle browser meeting participant plugin.
Created by openclaw
OpenClaw SMS/MMS channel plugin for Twilio messages.
Created by openclaw
Catalog, orders, and payments via Square's hosted MCP.
Created by openclaw
OpenClaw StepFun provider plugin.
Created by openclaw
Payments, customers, and invoices via Stripe's hosted MCP.
Created by openclaw
Database, auth, and storage from your Supabase projects.
Created by openclaw
Synology Chat channel plugin for OpenClaw channels and direct messages.
Created by openclaw
OpenClaw Tavily plugin
Created by openclaw
OpenClaw team activity reports plugin (GitHub org + Discord activity with model summaries)
Created by openclaw
OpenClaw Tencent Cloud provider plugin (TokenHub + Token Plan)
Created by openclaw
OpenClaw Tlon/Urbit channel plugin for chat workflows.
Created by openclaw
Manage Todoist tasks and projects.
Created by openclaw
OpenClaw tokenjuice exec output compaction plugin
Created by openclaw
trivago hotel search: compare prices by city and dates.
Created by openclaw
Stocks, forex, and crypto market data from Twelve Data.
Created by openclaw
Twilio developer docs search (public beta, read-only).
Created by openclaw
OpenClaw Twitch channel plugin for chat and moderation workflows.
Created by openclaw
OpenClaw TypeSafe typed decision provider
Created by openclaw
Freelance work and account information through Upwork's official MCP service.
Created by openclaw
OpenClaw Venice provider plugin
Created by openclaw
Deployments, logs, and projects via Vercel's hosted MCP.
Created by openclaw
OpenClaw Vercel AI Gateway provider plugin
Created by openclaw
OpenClaw voice-call plugin for Twilio, Telnyx, and Plivo phone calls.
Created by openclaw
Sites, CMS collections, and pages via Webflow's hosted MCP.
Created by openclaw
OpenClaw WhatsApp channel plugin for WhatsApp Web chats.
Created by openclaw
Wolfram|Alpha computation, math, and curated knowledge.
Created by openclaw
WordPress.com: posts, pages, drafts, stats, and comments.
Created by youdotcom-oss
You.com OpenClaw plugin — MCP setup metadata and web intelligence skills
Created by openclaw
OpenClaw Z.AI provider plugin
Created by openclaw
OpenClaw Zalo channel plugin for bot and webhook chats.
Created by openclaw
OpenClaw Zalo Personal Account plugin via native zca-js integration.
Created by openclaw
OpenClaw Zoom browser meeting participant plugin.
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