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Official agent skill

SDK Getting Started

by awslabs in awslabs/agent-plugins

Validates the user's environment for SageMaker AI operations — checks SDK version, AWS region, and execution role.

OfficialApache-2.0Auto-check passedDevOps & Cloud

Install SDK Getting Started

skills CLI
$ npx skills add awslabs/agent-plugins --skill sdk-getting-started -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install awslabs/agent-plugins sdk-getting-started --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/awslabs/agent-plugins.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/sagemaker-ai/skills/sdk-getting-started .claude/skills/sdk-getting-started && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
sdk-getting-started
GitHub stars
915
Used in
1 other repo
Token cost
~248 tokens
SKILL.md length
74 words
Files
3 (incl. references)
Skills in repo
33
Repo updated
First seen
Licence
Apache-2.0

At a glance

Validates the user's environment for SageMaker AI operations — checks SDK version, AWS region, and execution role.

  • The user says set up
  • SKILL.md covers Principles, Workflow and References
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Getting started

What it does

SDK Getting Started is an agent skill from awslabs/agent-plugins, published by the product's own GitHub organization. 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.

Its SKILL.md is about 250 tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files, including reference files (for example `references/execution-role-setup.md` and `references/sagemaker-python-sdk-setup.md`).

It sits in DevOps & Cloud. It works with Amazon SageMaker, Amazon Web Services and Python. The repository describes itself as: Agent Plugins for AWS equip AI coding agents with the skills to help you architect, deploy, and operate on AWS. The licence is Apache-2.0.

When your agent uses it

  • The user says set up
  • Getting started
  • Check my environment
  • As the first step in any plan involving SageMaker/Bedrock training

Example prompts

  • “set up”
  • “getting started”
  • “check my environment”
  • “/sdk-getting-started”

Requirements

  • Python 3

What it can do on your machine

Read from SKILL.md and the folder at commit da51970. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

SDK Getting Started loads about 248 tokens when it runs, and up to ~1.2k if it reads all its reference files. Until then it costs about 81 tokens; SKILL.md has 74 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~81
When it runs · the whole SKILL.md, loaded when a task matches
~248
With references · SKILL.md plus every file in references/, read only if the agent opens them
~1.2k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from awslabs/agent-plugins at commit da51970, republished under its Apache-2.0 licence (© awslabs). 74 words, ~248 tokens.

Download SKILL.mdSave it as .claude/skills/sdk-getting-started/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.
name
sdk-getting-started
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.

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

© awslabs, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 2 other files (references) in plugins/sagemaker-ai/skills/sdk-getting-started of awslabs/agent-plugins.

  • SKILL.md
  • references/execution-role-setup.md
  • references/sagemaker-python-sdk-setup.md

Open the folder on GitHubat commit da51970

Used in 1 other repository

We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in awslabs/agent-plugins, which our catalogue first saw on October 7, 2026.

Compare with similar skills

SDK Getting Started next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

SDK Getting Started compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
SDK Getting Started this skillawslabs/agent-plugins9151 repos~248Automated safety check: PassApache-2.0
SageMaker IAM Role Preflighthuggingface/skills11k1 repos~1.8kAutomated safety check: PassApache-2.0
Python Environment Setup for SageMakerhuggingface/skills11k2 repos~1.7kAutomated safety check: PassApache-2.0
AWS Cdk Developmentzxkane/aws-skills3672 repos~2.5kAutomated safety check: PassMIT
Hf Cloud Sagemaker Iam Preflightwaybarrios/opencode-power-pack533—~1.6kAutomated safety check: PassApache-2.0
Sagemaker AI Ops Reviewaws/tools-for-devops-agent1001 repos~3.9kAutomated safety check: PassApache-2.0

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Works with

Categories

Questions about SDK Getting Started

What does SDK Getting Started do?

Validates the user's environment for SageMaker AI operations — checks SDK version, AWS region, and execution role. SDK Getting Started is an agent skill from awslabs/agent-plugins, published by the product's own GitHub organization. Validates the user's environment for SageMaker AI operations — checks SDK version, AWS region, and execution role.

When should I use SDK Getting Started?

SDK Getting Started fits situations like: the user says set up; getting started; check my environment; as the first step in any plan involving SageMaker/Bedrock training.

How do I install SDK Getting Started in Claude Code?

Run `npx skills add awslabs/agent-plugins --skill sdk-getting-started -a claude-code`. Or copy the skill folder (plugins/sagemaker-ai/skills/sdk-getting-started in awslabs/agent-plugins) into .claude/skills/sdk-getting-started in your project. Claude Code loads it when a task matches its description.

How do I install SDK Getting Started in Codex?

Run `npx skills add awslabs/agent-plugins --skill sdk-getting-started -a codex`. Or copy the skill folder (plugins/sagemaker-ai/skills/sdk-getting-started in awslabs/agent-plugins) into .agents/skills/sdk-getting-started in your project. Codex loads it when a task matches its description.

Can I use SDK Getting Started in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add awslabs/agent-plugins --skill sdk-getting-started -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/sdk-getting-started, .gemini/skills/sdk-getting-started, .github/skills/sdk-getting-started and .opencode/skills/sdk-getting-started in your project.

What does SDK Getting Started need to run?

SKILL.md names no scripts, command-line tools or credentials: SDK Getting Started is instructions for the agent only. Our summary lists: Python 3.

Does SDK Getting Started access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is SDK Getting Started safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does SDK Getting Started use?

SDK Getting Started is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does SDK Getting Started use?

About 248 tokens (SKILL.md is roughly 992 characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 986 tokens, read only when the agent opens those files.

What are the alternatives to SDK Getting Started?

Skills that share tags, products or a category with SDK Getting Started: SageMaker IAM Role Preflight (huggingface/skills, 11k stars), Python Environment Setup for SageMaker (huggingface/skills, 11k stars), AWS Cdk Development (zxkane/aws-skills, 367 stars) and Hf Cloud Sagemaker Iam Preflight (waybarrios/opencode-power-pack, 533 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains SDK Getting Started?

awslabs (a GitHub organization, an official publisher) maintains it in awslabs/agent-plugins, which has 915 GitHub stars. The repository holds 33 skills in this directory. The repository was last updated on October 5, 2026.

Source: awslabs/agent-plugins on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.