regression-table
Formats estimation output as a publication-quality regression table with stars, SEs, and fit statistics. Use when creating a results table.
Profile →npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill regression-table --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.
# Format Regression Table Create a publication-quality regression table from estimation output in a notebook. ## Arguments - `$ARGUMENTS` — a notebook reference and/or description of the table (e.g., "notebook-02 OLS results" or "main regression table with 3 specifications") ## Steps 1. Identify the source notebook and the estimation output: - If a notebook name is provided, read that notebook - I
What does the regression-table skill do?
Formats estimation output as a publication-quality regression table with stars, SEs, and fit statistics. Use when creating a results table.
How do I install it?
Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill regression-table --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.