SDK Getting Started
SkillCloud & infraValidates 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.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the SDK Getting Started skill
What this skill tells your AI
The instructions your AI receives, as published by awslabs/agent-plugins in plugins/sagemaker-ai/skills/sdk-getting-started/SKILL.md and read by ahel’s review.
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-setup.md.
References
references/sagemaker-python-sdk-setup.md- SageMaker Python SDK version, region, and execution role checksreferences/execution-role-setup.md— Execution role resolution and validation
Signals
- GitHub stars
- 893
- Forks
- 153
- Last commit
- Sep 2026
Advanced
- Catalog kind
- skill
- Gateway key
sdk-getting-started- Source
- github.com/awslabs/agent-plugins