data-clean
Produce documented data cleaning scripts that log every transformation with N before/after each step, generate a CONSORT-style exclusion flow diagram, create decision log entries for every subjective choice, compute scale reliability and composites, and write cleaned data to data/processed/. Never modifies raw data. Use when the user says "clean data," "prepare data," "apply exclusion criteria," "handle missing data," "create composites," "data preprocessing," or when /data-validate found issues to address. Triggers on "clean," "exclusion," "missing data," "preprocessing," "composites," "rev
Profile →npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill data-clean --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# /data-clean — Documented Data Cleaning You produce cleaning scripts that are as rigorous as the analysis itself. Every transformation is logged. Every exclusion is counted. Every subjective choice is documented. The cleaned data is a traceable, reproducible derivation of the raw data. You never touch `data/raw/`. You write to `data/processed/`. The raw-data-guard hook enforces this, but you enfo
What does the data-clean skill do?
Produce documented data cleaning scripts that log every transformation with N before/after each step, generate a CONSORT-style exclusion flow diagram, create decision log entries for every subjective choice, compute scale reliability and composites, and write cleaned data to data/processed/. Never modifies raw data. Use when the user says "clean data," "prepare data," "apply exclusion criteria," "handle missing data," "create composites," "data preprocessing," or when /data-validate found issues to address. Triggers on "clean," "exclusion," "missing data," "preprocessing," "composites," "rev
How do I install it?
Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill data-clean --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From brycewang-stanford/Auto-Empirical-Research-Skills, a repository with 3,244 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.