About sdk-getting-started
A skill that runs preflight checks for SageMaker AI operations, resolving the region and execution role before asking for user input. It records the results in conversation context for later skills.
Key features
- 01SageMaker Python SDK version checks
- 02Programmatic region resolution
- 03Execution role validation
- 04Results stored for downstream skills
Use cases
- 01Check environment readiness before SageMaker operations
- 02Resolve an execution role for later workflows
Install
Copy the command and run it in a terminal.
$
npx skills add https:/ / github.com/ awslabs/ agent-plugins --skill sdk-getting-startedAfter installing, type/sdk-getting-startedin Claude Code to confirm it loaded.
Bundled filesreferences/execution-role-setup.mdreferences/sagemaker-python-sdk-setup.md
Details
From the project READMESDK 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
Comments
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