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From sagemaker-ai
Preflight checks for SageMaker AI environment: validates SDK version, AWS region, and execution role. Run this first when setting up or configuring SageMaker/Bedrock operations.
How this skill is triggered — by the user, by Claude, or both
Slash command
/sagemaker-ai:sdk-getting-startedThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
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.
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 validationclaude plugin install sagemaker-ai@claude-plugins-officialEnsures a usable SageMaker execution role exists before deploying or training, preventing failures from missing IAM permissions.
Provides end-to-end MLOps guidance on AWS: platform selection, training, inference, pipelines, monitoring, and cost optimization. Activates on queries about SageMaker, MLflow, Kubeflow, model deployment, or MLOps setup.
Validates development environment before coding starts: checks OS, runtime versions, tools, ports, env vars, and disk space to prevent 'works on my machine' bugs.