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Get Started Free →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.
.claude/skills/awslabs-sdk-getting-started/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-03 | ✗→✓ | ▲ Improved | -38% | 0% |
| case-04 | ✗→✓ | ▲ Improved | -23% | 0% |
| case-05 | ✗→✓ | ▲ Improved | 192% | 0% |
| case-07 | ✗→✓ | ▲ Improved | -2% | 0% |
| case-09 | ✗→✓ | ▲ Improved | 37% | 0% |
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.
Read and follow references/sagemaker-python-sdk-setup.md.
references/sagemaker-python-sdk-setup.md - SageMaker Python SDK version, region, and execution role checksreferences/execution-role-setup.md — Execution role resolution and validationOther measured skills in the registry, with their headline benchmark lift.