Exploratory data analysis. Use when users upload .csv/.xlsx/.json/.parquet files or request "explore data", "analyze dataset", "EDA", "profile data". Small files get ydata-profiling HTML/JSON reports; large files (>200MB or >5M rows) get fixed-memory DuckDB/sketch profiling. Also covers near-duplicate row detection, cross-file key overlap ("can these join?"), dataset drift vs a stored baseline, and time-series profiling.
How to install exploring-data?
oaustegard/claude-skills/exploring-data
$npx -y skills add oaustegard/claude-skills --skill exploring-dataInstalls into the current project.
›Prefer a prompt? Paste this to your agent
Run `npx skills use "https://github.com/oaustegard/claude-skills" --skill "oaustegard/claude-skills/exploring-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/oaustegard/claude-skills" that are relevant to the current task. Run `npx skills add "https://github.com/oaustegard/claude-skills"` and select the relevant skills, then follow their instructions.
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