This skill should be used when the user asks to "run data analysis", "analyze this dataset", "regress Y on X", "run the main regressions", "produce tables and figures", "end-to-end analysis", "write analysis script", "set up panel regression", "exploratory data analysis", or "produce publication-ready output". Provides end-to-end data analysis workflow for social science research in Python (primary) or Stata, from data loading through publication-ready tables and figures.
How to install data-analysis?
haipingxu/social-science-claude-scholar/data-analysis
$npx -y skills add haipingxu/social-science-claude-scholar --skill data-analysisInstalls into the current project.
›Prefer a prompt? Paste this to your agent
Run `npx skills use "https://github.com/haipingxu/social-science-claude-scholar" --skill "haipingxu/social-science-claude-scholar/data-analysis"` 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/haipingxu/social-science-claude-scholar" that are relevant to the current task. Run `npx skills add "https://github.com/haipingxu/social-science-claude-scholar"` and select the relevant skills, then follow their instructions.
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