Python · By awslabs

Create a new CAO (CLI Agent Orchestrator) plugin. An agent skill from awslabs/cli-agent-orchestrator.

awslabs/cli-agent-orchestrator

Find and select the best installed CAO agent profile for a task before delegating with assign or handoff.

awslabs/cli-agent-orchestrator

Scaffold and build cloud-native applications on AWS using @aws/nx-plugin generators.

awslabs/nx-plugin-for-aws

Contribute changes to the CAO (CLI Agent Orchestrator) codebase — the local dev loop, the CI gate map, and the pre-PR checklist.

awslabs/cli-agent-orchestrator

Author and run CAO Python workflow scripts — multi-step, parameterized, fan-out orchestrations executed by cao workflow run.

awslabs/cli-agent-orchestrator

Check and compare software component versions on SageMaker HyperPod cluster nodes - NVIDIA drivers, CUDA toolkit, cuDNN, NCCL, EFA, AWS OFI NCCL, GDRCopy, MPI, Neuron SDK (Trainium/Inferentia)…

awslabs/agent-plugins

Generates python code that evaluates SageMaker models. An agent skill from awslabs/agent-plugins.

awslabs/agent-plugins

Build resilient, long-running, multi-step applications with AWS Lambda durable functions with automatic state persistence, retry logic, and orchestration for long-running executions.

awslabs/agent-plugins

Validates the user's environment for SageMaker AI operations — checks SDK version, AWS region, and execution role.

awslabs/agent-plugins