Sdk getting started
Skill awslabs/agent-plugins/plugins/sagemaker-ai/skills/sdk-getting-started
Agent Plugins for AWS equip AI coding agents with the skills to help you architect, deploy, and operate on AWS.
npx -y skills add awslabs/agent-plugins --skill sdk-getting-startedAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
What its author says it does
Copied from the file, not written here
Validates the user's environment for SageMaker AI operations — checks SDK version, AWS region, and execution role. Use when the user says "set up", "getting started", "check my environment", "configure SDK", or as the first step in any plan involving SageMaker/Bedrock training, evaluation, or deployment.
SKILL.md
1.0 KB, as published. Nobody here has run it
SDK Getting Started
Preflight checks to verify the user's environment can run SageMaker AI operations. The agent runs these checks directly (no code generation) and stores results in conversation context for downstream skills.
Principles
- Don't ask for what you can look up. Resolve region and role programmatically before asking the user.
Workflow
Read and follow references/sagemaker-python-sdk-setup.md.
References
references/sagemaker-python-sdk-setup.md- SageMaker Python SDK version, region, and execution role checksreferences/execution-role-setup.md— Execution role resolution and validation