Agent skill

jpart-tables-figures

Use when building tables and figures for a Journal of Public Administration Research and Theory (JPART) manuscript so exhibits are self-contained, accessible, and fit the 12,000-word budget that counts tables and references. JPART rewards exhibits that show mechanism and magnitude, not stars. Designs exhibits; it does not run the analysis.

brycew6m4,252★ · +31/wk · 3 repos on radarProfile →
claude-codeMIT
Install
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jpart-tables-figures --agent claude-code

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

Facts
Files in the skill folder: 1
SKILL.md size: 7 KB
Bundled scripts: none
Path: Journal-of-Public-Administration-Research-and-Theory-Skills/skills/jpart-tables-figures/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 984 · +31 this week
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

# Tables & Figures (jpart-tables-figures) Exhibits are where an expert public-management reviewer checks whether the result — and the mechanism — are real. At JPART they also **cost words**: the manuscript limit (~12,000 words) *includes tables and references*, so every exhibit must earn its space. Numbers must match the public data-and-code package. ## When to trigger - Designing the main results table/figure or a key descriptive exhibit - Deciding what belongs in the article vs. the online appendix/supplement - A reviewer found an exhibit unclear, mislabeled, or not self-contained - Trimming to the word cap by moving exhibits to the appendix ## Principles 1. **Self-contained.** A reader should understand each exhibit from its title, labels, and note alone — state units, sample, N, the estimand, and the inference (CI, clustering level). No hunting in prose. 2. **Show effects, not stars.** Coefficient/forest plots, marginal-effects and predicted-probability plots, AMCE plots for conjoints, event-study/RD plots — these communicate magnitude and uncertainty better than a wall of coefficients. Always show intervals. 3. **Mechanism exhibits.** A first-stage/mediation panel, a heterogen

What's inside
Steps it walks through
  1. When to trigger
  2. Principles
  3. PA-specific exhibits
  4. Theory-to-exhibit trace
  5. Main-exhibit budget
  6. Fit the word cap (limit includes tables + references)
  7. Execution bridge (StatsPAI / Stata MCP)
  8. Anti-patterns
  9. Output format
  10. Supplementary resources
More from Awesome-Journal-Skills
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About this skill
What does the jpart-tables-figures skill do?

Use when building tables and figures for a Journal of Public Administration Research and Theory (JPART) manuscript so exhibits are self-contained, accessible, and fit the 12,000-word budget that counts tables and references. JPART rewards exhibits that show mechanism and magnitude, not stars. Designs exhibits; it does not run the analysis.

How do I install it?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jpart-tables-figures --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/Awesome-Journal-Skills, a repository with 984 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.

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