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.