stata-results
Fetch and display stored r(), e(), and s() results from the last Stata command.
Profile →npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill stata-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.
Call `stata_get_results(include_matrices=True, as_json=True)`. Present the results in a structured format: - **r() scalars**: name → value pairs (e.g., r(N), r(mean), r(sd)) - **e() scalars**: model-level results (e.g., e(N), e(r2), e(F)) - **e() matrices**: if present, display b (coefficients) and V (variance-covariance) as formatted tables - **s() macros**: string results if any If no results ar
What does the stata-results skill do?
Fetch and display stored r(), e(), and s() results from the last Stata command.
How do I install it?
Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill stata-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.