Agent skill · Code Review & Quality

stata-table-builder

Build and review paper-ready regression, balance, and summary tables from Stata outputs. Use when the user needs a clean table for a draft, appendix, or coauthor share-out.

brycew6m878★ · +32/wk · 1 repos on radarProfile →
claude-codeships scriptsNOASSERTION
Install
npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill stata-table-builder --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 5
SKILL.md size: 1 KB
Bundled scripts: yes
Path: skills/64-tmonk-mcp-stata/skills/stata-table-builder/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 3,244
Language: Stata
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Table Builder Use this skill when the target output is a table rather than raw console output. 1. Determine the table type and target audience. 2. Extract authoritative stored results. 3. Check labels, notes, sample definitions, and comparability across columns. Read `references/table-patterns.md` and use `scripts/check_table_ready.py` for deterministic readiness checks.

More from Auto-Empirical-Research-Skills
All skills →
About this skill
What does the stata-table-builder skill do?

Build and review paper-ready regression, balance, and summary tables from Stata outputs. Use when the user needs a clean table for a draft, appendix, or coauthor share-out.

How do I install it?

Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill stata-table-builder --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.

Keep going