A skill your agent uses 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…

MITAuto-check passedResearch & Science

Install Jpart Tables Figures

skills CLI
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jpart-tables-figures -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install brycewang-stanford/Awesome-Journal-Skills jpart-tables-figures --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/Journal-of-Public-Administration-Research-and-Theory-Skills/skills/jpart-tables-figures .claude/skills/jpart-tables-figures && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
jpart-tables-figures
GitHub stars
1.2k
Token cost
~1.7k tokens
SKILL.md length
675 words
Files
1
Skills in repo
2,387
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses 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…

  • Works in 5 steps: Self-contained. A reader should… → Show effects, not stars.… → Mechanism exhibits. A… → …
  • Building tables and figures for a Journal of Public Administration Research and Theory (JPART) manuscript so exhibits are self-contained
  • SKILL.md covers When to trigger, Principles, PA-specific exhibits and Theory-to-exhibit trace, plus 6 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Jpart Tables Figures is an agent skill from brycewang-stanford/Awesome-Journal-Skills. 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.

Its SKILL.md is about 1.7k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Research & Science. The repository describes itself as: Journal-specific Claude Code/Codex skill packs covering mainstream journals — AER, QJE, Nature, Cell, 管理世界, 经济研究 & 200+ more — your fast track to getting published. | 覆盖主流期刊的… The licence is MIT.

When your agent uses it

  • Building tables and figures for a Journal of Public Administration Research and Theory (JPART) manuscript so exhibits are self-contained
  • 000-word budget that counts tables and references

Example prompts

  • “/jpart-tables-figures”

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

  1. Self-contained. A reader should understand each exhibit from its title, labels, and note alone —
  2. Show effects, not stars. Coefficient/forest plots, marginal-effects and predicted-probability
  3. Mechanism exhibits. A first-stage/mediation panel, a heterogeneity plot keyed to a scope
  4. Accessible. Colorblind-safe palettes; legible in grayscale; no chartjunk or 3D.
  5. Reproducible. Each exhibit is generated by the master script; values match the deposited package

What it can do on your machine

Read from SKILL.md and the folder at commit 932eb23. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Jpart Tables Figures loads about 1.7k tokens when it runs. Until then it costs about 91 tokens; SKILL.md has 675 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~91
When it runs · the whole SKILL.md, loaded when a task matches
~1.7k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from brycewang-stanford/Awesome-Journal-Skills at commit 932eb23, republished under its MIT licence (© brycewang-stanford). 675 words, ~1,703 tokens.

Download SKILL.mdSave it as .claude/skills/jpart-tables-figures/SKILL.md (or your agent's skills folder).
name
jpart-tables-figures
description
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.

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 heterogeneity plot keyed to a scope condition, or a balance/manipulation-check table — make the theory visible, not just the top line.
  4. Accessible. Colorblind-safe palettes; legible in grayscale; no chartjunk or 3D.
  5. Reproducible. Each exhibit is generated by the master script; values match the deposited package exactly (the data and code are public — see jpart-transparency-and-data).

PA-specific exhibits

  • Multilevel results: report ICCs and variance components, not just fixed-effect coefficients.
  • Survey-experiment treatment-effect plots; conjoint AMCE/marginal-means plots.
  • Representative-bureaucracy: passive→active representation shown as an interaction/marginal-effects plot.
  • Descriptive table of the public-employee/citizen sample with attention/attrition flags.

Theory-to-exhibit trace

Before keeping an exhibit in the article, write a one-line trace:

public-management construct -> observable measure -> exhibit -> theoretical implication

Examples:

  • Representative bureaucracy: passive representation -> agency/client subgroup match -> marginal-effects plot -> when passive representation translates into active representation.
  • Red tape: administrative burden -> process-step count or perceived burden scale -> mechanism figure with subgroup heterogeneity -> why rules constrain behavior rather than merely correlate with outcomes.
  • Performance information: information cue -> treatment arm or information-use measure -> predicted response plot -> whether citizens/managers use performance data as accountability or learning signals.

If the trace ends at "interesting pattern" rather than a public-management mechanism, move the exhibit to the supplement or cut it. JPART reviewers should be able to infer the theory move from the exhibit title, axis labels, and note before reading the surrounding prose.

Show full SKILL.md (294 more words)Show less

Main-exhibit budget

Use a tight main-text budget:

SlotPurposeKeep in article only if...
Descriptive tableShows the PA setting, sample, and key imbalance/attrition risksIt changes how readers interpret external validity or design credibility
Main effect figure/tableDelivers the headline claimIt reports magnitude, uncertainty, units, and estimand without prose rescue
Mechanism or scope exhibitConnects evidence to theoryIt distinguishes competing public-management mechanisms
Robustness exhibitProtects the central claimIt answers a predictable reviewer objection that cannot wait for the supplement

Full model grids, alternative coding schemes, balance details, and exploratory heterogeneity belong in the online supplement unless they are necessary for the theory contribution.

Fit the word cap (limit includes tables + references)

  • Move balance tables, full specifications, and extended robustness grids to the online supplement.
  • Keep the few exhibits that carry the argument and the mechanism in the article.
  • Prefer one decisive marginal-effects figure to three redundant coefficient tables.

Execution bridge (StatsPAI / Stata MCP)

Generate exhibits from the fitted result, not by retyping numbers. Full map: execution-with-mcp. JPART is public management — observational and experimental designs on public organizations; identification + clustered/multilevel inference.

  • Tables: etable (multi-model) or did_summary_to_latex straight from the result_id.
  • Figures: plot_from_result / enhanced_event_study_plot / event_study_table — axis units and the SE/clustering note baked in.
  • Every note names the estimator + clustering and states the magnitude in interpretable units.

See a full fitted-result → exhibit chain in the JF execution walkthrough.

Anti-patterns

  • Tables that require the prose to be intelligible (not self-contained)
  • Significance stars with no effect size or interval
  • Cramming every robustness check into the main text (blows the budget that counts tables/refs)
  • Color-only encoding that fails in grayscale or for colorblind readers
  • Exhibit numbers/values that don't match the deposited public code output

Output format

【Main exhibit】what it shows + why a figure/table
【Mechanism visible?】scope condition / mediation / first stage shown? [Y/N]
【Self-contained?】title + labels + note + N/units + inference present? [Y/N]
【Theory-to-exhibit trace】construct -> measure -> exhibit -> implication
【Main-text slot】descriptive / main effect / mechanism-scope / necessary robustness
【Accessible?】grayscale-legible + colorblind-safe? [Y/N]
【Article vs supplement】split decided, word-budget impact noted
【Reproducible?】generated by master script, matches package? [Y/N]
【Next】jpart-writing-style

Supplementary resources

© brycewang-stanford, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in Journal-of-Public-Administration-Research-and-Theory-Skills/skills/jpart-tables-figures of brycewang-stanford/Awesome-Journal-Skills.

Open the folder on GitHubat commit 932eb23

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Questions about Jpart Tables Figures

What does Jpart Tables Figures do?

A skill your agent uses 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…. Jpart Tables Figures is an agent skill from brycewang-stanford/Awesome-Journal-Skills. 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.

When should I use Jpart Tables Figures?

Jpart Tables Figures fits situations like: building tables and figures for a Journal of Public Administration Research and Theory (JPART) manuscript so exhibits are self-contained; 000-word budget that counts tables and references.

How do I install Jpart Tables Figures in Claude Code?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jpart-tables-figures -a claude-code`. Or copy the skill folder (Journal-of-Public-Administration-Research-and-Theory-Skills/skills/jpart-tables-figures in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/jpart-tables-figures in your project. Claude Code loads it when a task matches its description.

How do I install Jpart Tables Figures in Codex?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jpart-tables-figures -a codex`. Or copy the skill folder (Journal-of-Public-Administration-Research-and-Theory-Skills/skills/jpart-tables-figures in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/jpart-tables-figures in your project. Codex loads it when a task matches its description.

Can I use Jpart Tables Figures in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jpart-tables-figures -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/jpart-tables-figures, .gemini/skills/jpart-tables-figures, .github/skills/jpart-tables-figures and .opencode/skills/jpart-tables-figures in your project.

What does Jpart Tables Figures need to run?

SKILL.md names no scripts, command-line tools or credentials: Jpart Tables Figures is instructions for the agent only.

Does Jpart Tables Figures access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Jpart Tables Figures safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Jpart Tables Figures use?

Jpart Tables Figures is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Jpart Tables Figures use?

About 1.7k tokens (SKILL.md is roughly 6.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Jpart Tables Figures?

Skills that share tags, products or a category with Jpart Tables Figures: Hypothesis Generation (spacering-net/codeg, 3.9k stars), GitHub Deep Research (bytedance/deer-flow, 84k stars), Nature Paper Card (Yuan1z0825/nature-skills, 47k stars) and Content Research Writer (weapp-tailwindcss/weapp-tailwindcss, 1.9k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Jpart Tables Figures?

brycewang-stanford (a GitHub user) maintains it in brycewang-stanford/Awesome-Journal-Skills, which has 1,231 GitHub stars. The repository holds 2,387 skills in this directory. The repository was last updated on September 27, 2026.

Source: brycewang-stanford/Awesome-Journal-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.