clean-data
byaperivue· 57 skills
Interactive data profiling and cleaning assistant for medical research. Three-stage workflow (profile, flag, code-generate) with user approval gates at each step. Handles missing values, outliers, duplicates, and type mismatches in CSV/Excel clinical data. Does NOT auto-clean — all decisions require researcher confirmation.
How to install clean-data?
aperivue/medsci-skills/clean-data
$npx -y skills add aperivue/medsci-skills --skill clean-dataInstalls into the current project.
›Prefer a prompt? Paste this to your agent
Run `npx skills use "https://github.com/aperivue/medsci-skills" --skill "aperivue/medsci-skills/clean-data"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/aperivue/medsci-skills" that are relevant to the current task. Run `npx skills add "https://github.com/aperivue/medsci-skills"` and select the relevant skills, then follow their instructions.
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