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dataset-transformation

Skill

Generates code that transforms datasets between ML schemas for model training or evaluation. Use when the user says "transform", "convert", "reformat", "change the format", or when a dataset's schema needs to change to match the target format — always use this skill for format changes rather than wr

0Machine Learning

Install

git clone https://github.com/awslabs/agent-plugins.git ~/.claude/skills/dataset-transformation

What is dataset-transformation?

Generates code that transforms datasets between ML schemas for model training or evaluation. Use when the user says "transform", "convert", "reformat", "change the format", or when a dataset's schema needs to change to match the target format — always use this skill for format changes rather than writing inline transformation code. Supports OpenAI chat, SageMaker SFT/DPO/RLVR/RLAIF, HuggingFace preference, Bedrock Nova, VERL, and custom JSONL formats from local files or S3.

What this can do

Capabilities declared in this component's own frontmatter — not inferred.

Inherit all session tools

Declares no tool restrictions — inherits every session tool

~120 tokens of context used while enabled, before you invoke anything

Documentation

README · ~10 min read

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

  1. One thing at a time. Each response advances exactly one decision. Never combine multiple questions or recommendations in a single turn.

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