sdk-getting-started
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.
Install
With your agent
Install OMGSkills skill "awslabs/agent-plugins:plugins/sagemaker-ai/skills/sdk-getting-started" into this agent's normal skills directory: call the OMGSkills MCP get_install_plan tool for your agent and run the script it returns (it installs only the pinned commit and verifies SKILL.md), and stop if MCP or the pin is unavailable. Do not overwrite or change existing skills without asking me.
Manual command
git clone https://github.com/awslabs/agent-plugins /tmp/agent-plugins && ln -s /tmp/agent-plugins/plugins/sagemaker-ai/skills/sdk-getting-started ~/.claude/skills/sdk-getting-startedFrom README
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- .md. References references/sagemaker-python-sdk- .md - SageMaker Python SDK version, region, and execution role checks references/execution-role- .md — Execution role resolution and validation
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