survey-data-processing
Clean, recode, and prepare survey response data for analysis
Profile →npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill survey-data-processing --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.
# Survey Data Processing A skill for cleaning, recoding, and preparing survey response data for statistical analysis. Covers handling common survey data issues such as incomplete responses, attention check failures, reverse-coded items, scale construction, open-ended response coding, and export to analysis-ready formats compatible with SPSS, Stata, and R. ## Survey Data Quality Assessment ### Init
What does the survey-data-processing skill do?
Clean, recode, and prepare survey response data for analysis
How do I install it?
Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill survey-data-processing --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.