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.
Use sdk-getting-started to validate the environment for SageMaker AI operations by checking the SDK version, AWS region, and execution role.
User-approved starter prompt based on a pinned source version; check current skill requirements before running. Task evidence ↗
SKILL.md
name: sdk-getting-starteddescription: 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.
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 checks
references/execution-role-setup.md — Execution role resolution and validation