data-cleaning

Installation
SKILL.md

Data cleaning

Treat cleaning as a controlled transformation of an observed dataset, not cosmetic editing. Preserve raw input, state the target use and grain, make every lossy decision explicit, and prove that the cleaned output satisfies a contract.

When a model proposes data transformations, load the AI boundary workflow and use the companion record.

Route by task

Installs
52
GitHub Stars
136
First Seen
Aug 20, 2026