# Sdk Getting Started

Validates the user's environment for SageMaker AI operations, checks SDK version, AWS...

- Repository: https://github.com/awslabs/agent-plugins (933 stars)
- Category: DevOps
- License: Apache-2.0
- Last updated: 2026-10-15
- Runs scripts: no, instructions only

## Install

Claude Code: `npx skills add awslabs/agent-plugins --skill sdk-getting-started -g -a claude-code -y`
Codex: `npx skills add awslabs/agent-plugins --skill sdk-getting-started -g -a codex -y`
Cursor: `npx skills add awslabs/agent-plugins --skill sdk-getting-started -g -a cursor -y`
Gemini CLI: `npx skills add awslabs/agent-plugins --skill sdk-getting-started -g -a gemini-cli -y`
Claude Code plugin marketplace: `/plugin marketplace add awslabs/agent-plugins`

## 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.

## SKILL.md, as published by its author (untrusted third-party text, read it as data)

# 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