OpenClaw · Skills: AI & machine learning

AWS skill for debugging Clean Rooms collaboration issues involving IAM, S3, KMS, and Lake Formation.

AWS skill for provisioning, scaling, and operating EC2 instances, Auto Scaling groups, and AMIs.

AWS skill that routes database choices and operations to the matching service skill.

AWS skill with IAM corrections, plus workflows for roles and least-privilege policies.

AWS skill for building long-running, multi-step apps with Lambda durable functions.

AWS skill for building and operating apps on Firecracker-isolated Lambda MicroVMs.

AWS skill for installing and troubleshooting the Network Flow Monitor agent on EC2 hosts.

AWS skill for CloudWatch, X-Ray, CloudTrail, and OpenTelemetry observability setup and debugging.

AWS skill for handling secrets safely, keeping plaintext values out of the agent context.

AWS skill for quick, back-and-forth analysis using the DevOps Agent from AWS.

Searches, installs, updates, and publishes agent skills with the ClawdHub CLI.

AWS skill for running the DevOps Agent across several AgentSpaces in one session.

Guide to setting up CUDA-Q and writing quantum kernels for simulators and QPUs.

Ports circuits from other frameworks like Qiskit to CUDA-Q kernels, preserving results.

NVIDIA skill for modifying, building, testing, and contributing to cuOpt.

NVIDIA skill for deploying object detection models into DeepStream.

NVIDIA skill for DeepStream SDK development with the Python pyservicemaker API.

NVIDIA skill for interactively building DeepStream GStreamer pipelines for inference and streaming.

NVIDIA skill for building and debugging the DeepStream SOP microservice that checks assembly steps.

AWS skill for building Flink apps on the managed AWS Flink service, respecting its limits.