csv-data-analyzer
Load, explore, clean, and analyze CSV data with statistical summaries
Profile →npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill csv-data-analyzer --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.
# CSV Data Analyzer A comprehensive skill for loading, exploring, cleaning, and analyzing CSV datasets within research workflows. Designed for researchers who need to quickly understand the structure, quality, and statistical properties of tabular data before conducting deeper analysis. ## Overview Research datasets commonly arrive as CSV files from instrument exports, survey platforms, government
What does the csv-data-analyzer skill do?
Load, explore, clean, and analyze CSV data with statistical summaries
How do I install it?
Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill csv-data-analyzer --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.