Individual skill
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.
plugins/sagemaker-ai/skills/dataset-transformation/SKILL.md
Source commit fbefb3764e67558fe10ac834dd85db49734aa9b6
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- Yes
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- Yes
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- No
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- Observed behavior
- Network or broad shell
- Last checked
- Nov 4, 2026
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Repository context
- Repository stars (not skill ratings)
- 937
- Repository last updated
- Nov 5, 2026
- License
- Apache-2.0
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- agent-skills Repository topic
- agents Repository topic
- coding-agent-skills Repository topic
- coding-agents Repository topic
- agent-plugins Repository topic
- aws Repository topic
- writing Derived category
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SKILL.mdcore · 14,161 bytesSKILL.mdcore · 14,161 bytesSKILL.mdcore · 14,161 bytesSKILL.mdcore · 14,161 bytesSKILL.mdcore · 14,161 bytesSKILL.mdcore · 14,161 bytesSKILL.mdcore · 14,161 bytesSKILL.mdcore · 14,161 bytesSKILL.mdcore · 14,161 bytescode_templates/transformation.pyruns · 1,536 bytesreferences/code_output_guide.mddoc · 2,902 bytesreferences/dataset_transformation_code.mddoc · 5,302 bytesreferences/sagemaker_dataset_formats.mddoc · 2,945 bytesscripts/transformation_tools.pyruns · 4,901 bytes
Read 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.
