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.
Profile →npx skills add awslabs/agent-plugins --skill sdk-getting-started --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# 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
- Principles
- Workflow
- References
What does the sdk-getting-started skill do?
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.
How do I install it?
Run `npx skills add awslabs/agent-plugins --skill sdk-getting-started --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From awslabs/agent-plugins, a repository with 850 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.