stata-publication-qa
Review regression outputs, tables, and graphs for publication readiness. Use when the user asks whether a result is ready for a paper, appendix, seminar, referee response, or coauthor review.
Profile →npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill stata-publication-qa --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.
# Publication QA Use this skill when editorial quality matters. 1. Re-run or inspect the relevant model or graph. 2. Review statistical clarity, labeling, sample consistency, and visual presentation. 3. Distinguish required fixes from optional polish. Read `references/checklist.md` for the review checklist and use `scripts/graph_qa_checklist.py` when generating a graph-specific QA pass.
What does the stata-publication-qa skill do?
Review regression outputs, tables, and graphs for publication readiness. Use when the user asks whether a result is ready for a paper, appendix, seminar, referee response, or coauthor review.
How do I install it?
Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill stata-publication-qa --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.