Skills for Real Engineers. Straight from my .agents directory.
39 skills
sdk-getting-started
Agent skill from
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 to install sdk-getting-started
install sdk-getting-started
# install the agent-plugins pack with the skills CLI
npx skills add awslabs/agent-plugins# or add only this skill to Claude Code: copy the folder
plugins/sagemaker-ai/skills/sdk-getting-started/
# into
~/.claude/skills/sdk-getting-started/ (all projects)
.claude/skills/sdk-getting-started/ (one project)
1# SDK Getting Started23Preflight 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.45## Principles671. **Don't ask for what you can look up.** Resolve region and role programmatically before asking the user.89## Workflow1011Read and follow `references/sagemaker-python-sdk-setup.md`.1213## References1415- `references/sagemaker-python-sdk-setup.md` - SageMaker Python SDK version, region, and execution role checks16- `references/execution-role-setup.md` — Execution role resolution and validation
Excerpt shown under the repository's Apache-2.0 license.
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