ai agent skills.
371 skills · 21–40
This skill reads encounter notes and operative reports and picks CPT codes and HCPCS Level II codes for the procedures in them. It lists each billable service, looks up codes with lookup tools, and outputs codes ready for a claim.
This skill reads a clinical note and picks the billable ICD-10-CM diagnosis codes for a claim. It decides which diagnoses should be billed, codes each one as specifically as the note allows, and looks up the exact code through an ICD-10 connector before a final check.
This skill audits an app's listing on the App Store or on Google Play and scores it across weighted areas such as title, keywords, screenshots, and ratings. It adjusts scoring for brand maturity and can compare the listing with competitors. The output lists fixes to raise visibility and conversion.
Builds audit context—architecture, trust boundaries, and assets—before deep security review.
This skill reviews the security rules for Firestore and Cloud Storage, looking for weak spots, red-team style. Its checklist covers privilege escalation, role bypasses, mismatched create and update logic, resource exhaustion, type checks, and size limits. Each rule set gets a score from 1 to 5.
This skill looks over the motion and animation code in a codebase without changing it. It ranks what to improve and writes standalone plans that other agents can carry out. The plans are confirmed with you before they are written.
Builds Amazon Machine Images with Packer's amazon-ebs builder.
Works with Azure AI Search, Speech, OpenAI, and Document Intelligence, including vector and hybrid search.
Configures Azure API Management as an AI gateway for models, MCP tools, and agents.
Assesses cross-cloud workloads for Azure migration and produces reports plus code-conversion paths.
Runs Azure compliance and security audits with azqr and checks Key Vault secret expiration.
Routes Azure VM/VMSS work—sizing, provisioning, and compute recommendations—correctly.
Queries, forecasts, and optimizes Azure spend to find waste and cost drivers.
Debugs Azure production issues with AppLens, Monitor, resource health, and safe triage.
Architects enterprise Azure infrastructure from workload descriptions into provisionable plans.
Plans and configures production-ready Azure Kubernetes Service (AKS) clusters.
Troubleshoots Azure Event Hubs and Service Bus SDK connections, authentication, message locks, and AMQP errors.
Configures and operates Azure Blob, File, Queue, Table, and Data Lake storage services.
Manages BigQuery datasets, tables, jobs, and basic SQL analysis workflows.
Writes engineering blog posts in Sentry's voice—structure, examples, and editorial quality.
An agent skill is a portable pack of instructions that gives an agent specialized know-how for a task. In the open Agent Skills format (from Anthropic, now widely adopted), that pack is a folder with a SKILL.md file and optional scripts or references the agent can load when needed.
SKILL.md is the required main file in a skill folder. It starts with simple metadata (name and description) plus the instructions. Agents use the metadata to decide when a skill applies, then read the full file — and any linked files — only when the task needs them.
Open the listing and follow the source link — usually a GitHub SKILL.md. Install with your agent’s skill flow, or add the repo the way that product documents. When this site shows the skill text, Copy is on the page.
A prompt is paste-in text for one chat turn (or a short thread). A skill is a reusable file pack an agent can discover and load across a task, sometimes with code attached. Prompts live in the prompt directory; skills usually live on GitHub and we link out.
Each skill uses one sitewide category — the same set as the rest of the directory (Coding agent, Marketing, Document intelligence, and so on). Hops filter to categories that already have skills.
Yes. Submit with a public GitHub SKILL.md URL, or attach a skill as part of a method on a use case. An editor reviews it before it appears here.