python-panel-data
Panel data analysis with Python using linearmodels and pandas.
Profile →npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill python-panel-data --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.
# Python Panel Data ## Purpose This skill helps economists run panel data models in Python using `pandas`, `statsmodels`, and `linearmodels`, with correct fixed effects, clustering, and diagnostics. ## When to Use - Estimating fixed effects or random effects models - Running difference-in-differences on panel data - Creating regression tables and plots in Python ## Instructions Follow these steps
What does the python-panel-data skill do?
Panel data analysis with Python using linearmodels and pandas.
How do I install it?
Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill python-panel-data --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.