stata-data-cleaning
Clean and transform messy data in Stata with reproducible workflows
Profile →npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill stata-data-cleaning --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.
# Stata Data Cleaning ## Purpose This skill helps economists clean, transform, and prepare datasets for analysis in Stata. It emphasizes reproducibility, proper documentation, and handling common data quality issues found in economic research. ## When to Use - Cleaning raw survey or administrative data - Merging multiple data sources - Handling missing values, duplicates, and outliers - Creating a
What does the stata-data-cleaning skill do?
Clean and transform messy data in Stata with reproducible workflows
How do I install it?
Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill stata-data-cleaning --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.