Dataset Transformation

by awslabs

Dataset Transformation is an AI Engineering skill for Claude Code, published by awslabs in agent-plugins.

867 stars145 forkson awslabs/agent-pluginsAdded 2026/08/22Repository updated 2026/08/21

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agent-pluginsagent-skillsagentsawscoding-agent-skillscoding-agents

Install in seconds

Install Dataset Transformation

Copy Dataset Transformation into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.

terminal

npx degit https://github.com/awslabs/agent-plugins/tree/main/plugins/sagemaker-ai/skills/dataset-transformation ~/.claude/skills/dataset-transformation

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/awslabs/agent-plugins.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file: plugins/sagemaker-ai/skills/dataset-transformation/SKILL.md in awslabs/agent-plugins
Installs to: ~/.claude/skills/dataset-transformation
Collection: One of 25 skills cataloged from this repository
Category: AI Engineering — 2451 skills

What Dataset Transformation does

Dataset Transformation generates code to convert datasets between ML training and evaluation schemas. Use it when a dataset needs to be reformatted for OpenAI, SageMaker, HuggingFace, Bedrock Nova, VERL, or custom JSONL outputs.

Dataset Transformation is cataloged under AI Engineering on DirSkills. Dataset Transformation comes from a repository tagged agent-plugins, agent-skills, agents, aws and coding-agent-skills.

Documentation

README

Excerpt

Dataset Transformation Agent

Transforms a data set provided by the user into their desired format.

When to Use

User needs to generate code for transforming datasets for SageMaker model training or model evaluation.
A dataset requires processing, cleaning, or formatting before training or evaluation.
Workflow requires a formal review and approval cycle before execution.

Prerequisites

The SDK environment has been verified (SDK version, region, execution role). If not done, activate the sdk-getting-started skill first.

Principles

This is the opening of the README. Read the full README on GitHub.

Frequently asked about Dataset Transformation

What else does awslabs publish alongside Dataset Transformation?
Dataset Transformation is one of 25 skills that DirSkills catalogs from awslabs/agent-plugins, the repository it ships in. Its siblings there include AWS Architecture Diagram, AWS Lambda and AWS Lambda Durable Functions. Each one is a separate skill with its own page in this directory, installs the same way Dataset Transformation does, and is maintained by awslabs in that same repository. The rest of the collection is listed on the awslabs/agent-plugins page.
How does Dataset Transformation compare to other AI Engineering skills?
Dataset Transformation ranks #1514 by stars among the 2451 AI Engineering skills in this catalog. The most-starred ones next to it are Architecture Decision Records, AI-First Engineering and Agentic OS. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Dataset Transformation against them. Open each page to compare what they document and how they install.