/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,
$ npx -y skills add awslabs/agent-plugins --skill sdk-getting-started --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
- Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
- You can call itInvoke it directly when you want it.
- Slash command
/sdk-getting-started
Context preview
The summary Claude sees to decide when to auto-load this skill.
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,
SKILL.md
sdk-getting-started.SKILL.mdname: sdk-getting-started description: 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
1. **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
Read this in other languages: 日本語 Generative AI can make mistakes. You should consider reviewing all output and costs generated by your chosen AI model and agentic coding assistant. See AWS Responsible AI Policy.
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