Sdk Getting Started
awslabs/agent-pluginsOfficial
This handles the boring but essential preflight checks before any SageMaker or Bedrock work: SDK version, AWS region, execution role. It runs the validation directly without generating code, which is smart since you don't want to debug environment setup. The workflow references look comprehensive, covering both basic SDK setup and the trickier execution role resolution. Use it whenever someone says "getting started" or "set up", or just run it first in any SageMaker plan. The "don't ask for what you can look up" principle is good, it'll try to resolve your region and role before prompting you. Saves the back and forth.
- GitHub stars
- 783
- last updated
- Jun 11, 2026
Install
$ npx -y skills add awslabs/agent-plugins --skill sdk-getting-started --agent claude-codeInstalls into .claude/skills of the current project.
Files
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-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
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- Repository
- github.com/awslabs/agent-plugins
- Categories
- AI & Agent Building, Release Management, Productivity & Planning, Cloud & Infrastructure
- License
- Apache-2.0
- First seen
- Jun 11, 2026
