# Stata Publication QA

> Stata Publication QA is an Agent Skill for documents published in the brycewang-stanford/Auto-Empirical-Research-Skills repository on GitHub: a SKILL.md instruction file an AI agent can load to do this task.

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.

- Skill name: `stata-publication-qa`
- Category: [Documents](https://www.openparable.com/skill/documents/1)
- Source: https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/blob/HEAD/skills/64-tmonk-mcp-stata/skills/stata-publication-qa/SKILL.md
- Repository: brycewang-stanford/Auto-Empirical-Research-Skills (2,866 GitHub stars when collected)

## SKILL.md

# 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.

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Source: https://www.openparable.com/skill/documents/stata-publication-qa (OpenParable). Cite the canonical URL above.