interpret-results
Writes academic prose interpreting regression output. Use when describing estimation results in manuscript-ready language.
Profile →npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill interpret-results --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.
# Interpret Regression Results Write academic prose interpreting estimation output, suitable for pasting into `index.qmd`. ## Arguments - `$ARGUMENTS` — regression output (pasted directly), or a notebook cell reference (e.g., "notebook-02#tbl-main-regression") ## Steps 1. Parse the regression output: - If a notebook cell reference is provided, read that notebook and extract the output from the specified cell - If output is pasted directly, parse the coefficients, standard errors, significance levels, and fit statistics 2. Identify key elements: - Dependent variable - Key independent variable(s) of interest (vs. controls) - Significance levels and confidence intervals - R-squared, N, F-statistic - Fixed effects or clustering used 3. Draft 1–3 paragraphs of academic prose covering: - **Statistical significance:** Which coefficients are significant at which levels - **Direction and magnitude:** Sign and size of key coefficients, in interpretable units - **Economic significance:** What the coefficient means in practical terms (e.g., "a one standard deviation increase in X is associated with a Y% change in the outcome") - **Comparison across specifications:** If multiple columns, note h
- Arguments
- Steps
- Error handling
What does the interpret-results skill do?
Writes academic prose interpreting regression output. Use when describing estimation results in manuscript-ready language.
How do I install it?
Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill interpret-results --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.