New: 98,000+ skills indexed from GitHub repos with 100+ stars · every skill safety-checkedBrowse top skillsTop skills
Esc to closeBrowse all skills
Submit a skillBrowse skills
Submit a skillBrowse skills

Agent skill

Pubar Tables Figures

by brycewang-stanford in brycewang-stanford/Awesome-Journal-Skills

A skill your agent uses when building tables and figures for a Public Administration Review (PAR) manuscript so exhibits are self-contained, accessible, and communicate effect magnitude to scholars…

MITAuto-check passedResearch & Science

Install Pubar Tables Figures

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

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

GitHub CLI
$ gh skill install brycewang-stanford/Awesome-Journal-Skills pubar-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/Public-Administration-Review-Skills/skills/pubar-tables-figures .claude/skills/pubar-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
pubar-tables-figures
GitHub stars
1.2k
Token cost
~1.5k tokens
SKILL.md length
659 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 Public Administration Review (PAR) manuscript so exhibits are self-contained, accessible, and communicate effect magnitude to scholars…

  • Works in 5 steps: Self-contained. A reader should… → Figures over dense tables for effects.… → Accessible. Colorblind-safe palettes;… → …
  • Building tables and figures for a Public Administration Review (PAR) manuscript so exhibits are self-contained
  • SKILL.md covers When to trigger, Principles, PA-specific exhibits and Execution bridge (StatsPAI /…, plus 5 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Pubar Tables Figures is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when building tables and figures for a Public Administration Review (PAR) manuscript so exhibits are self-contained, accessible, and communicate effect magnitude to scholars and practitioners alike. PAR excludes tables/figures/appendices from the 8,000-word count, but exhibits still must earn their space. Designs exhibits; it does not run the analysis.

Its SKILL.md is about 1.5k 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 Public Administration Review (PAR) manuscript so exhibits are self-contained
  • Communicate effect magnitude to scholars and practitioners alike

Example prompts

  • “/pubar-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, axis/column labels, and
  2. Figures over dense tables for effects. Coefficient/forest plots, marginal-effects and
  3. Accessible. Colorblind-safe palettes; legible in grayscale; no chartjunk, no 3D, no needless
  4. Main text vs. supplement. Keep the few exhibits that carry the argument in the article; move
  5. Reproducible. Each exhibit is generated by the master script; numbers match the deposited

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

Pubar Tables Figures loads about 1.5k tokens when it runs. Until then it costs about 95 tokens; SKILL.md has 659 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~95
When it runs · the whole SKILL.md, loaded when a task matches
~1.5k

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). 659 words, ~1,537 tokens.

Download SKILL.mdSave it as .claude/skills/pubar-tables-figures/SKILL.md (or your agent's skills folder).
name
pubar-tables-figures
description
Use when building tables and figures for a Public Administration Review (PAR) manuscript so exhibits are self-contained, accessible, and communicate effect magnitude to scholars and practitioners alike. PAR excludes tables/figures/appendices from the 8,000-word count, but exhibits still must earn their space. Designs exhibits; it does not run the analysis.

Tables & Figures (pubar-tables-figures)

Exhibits are where an expert reviewer checks whether the result is real — and where a practitioner reads the magnitude that drives your Evidence for Practice. At PAR the word count excludes tables, figures, charts, and appendices (检索于 2026-06；以官网为准), so the constraint is clarity, not word budget: every exhibit must communicate a magnitude with its uncertainty, fast.

When to trigger

  • Designing the main results table/figure or a key descriptive exhibit
  • Deciding what belongs in the article vs. an online appendix/supplement
  • A reviewer found an exhibit unclear, mislabeled, or non-self-contained
  • Translating a coefficient into something a public manager can read

Principles

  1. Self-contained. A reader should understand each exhibit from its title, axis/column labels, and note alone. State units, sample, N, the estimator, and what the estimate is.
  2. Figures over dense tables for effects. Coefficient/forest plots, marginal-effects and predicted-probability plots, event-study and RD plots communicate magnitude and uncertainty better than a wall of coefficients. Show intervals — a practitioner needs the effect size, not stars.
  3. Accessible. Colorblind-safe palettes; legible in grayscale; no chartjunk, no 3D, no needless color. Reviewers and practitioner readers must parse it quickly.
  4. Main text vs. supplement. Keep the few exhibits that carry the argument in the article; move balance tables, full specifications, and robustness grids to the online supplement.
  5. Reproducible. Each exhibit is generated by the master script; numbers match the deposited materials exactly (TOP transparency — see pubar-transparency-and-data).

PA-specific exhibits

  • Event-study plots around a reform to show pre-trends and dynamics of an administrative change.
  • Predicted-probability / marginal-effects plots translating a model into managerial terms ("an agency at the 75th percentile of red tape is X points less likely to…").
  • Maps for cross-jurisdiction variation; network diagrams for collaborative-governance structure.
  • For qualitative/mixed work: process timelines, evidence tables linking claims to sources.

Execution bridge (StatsPAI / Stata MCP)

Generate exhibits from the fitted result, not by retyping numbers. Full map: execution-with-mcp. PAR is public administration — survey/observational and some experimental work; identification + clustered/multilevel inference, magnitude for practice.

  • 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.

Show full SKILL.md (285 more words)Show less

Anti-patterns

  • Tables that require the prose to be intelligible (not self-contained)
  • Reporting significance stars with no effect size or interval (practitioners can't act on it)
  • Cramming every robustness check into the main text (use the supplement)
  • Color-only encoding that fails in grayscale or for colorblind readers
  • Exhibit numbers/values that don't match the deposited code output

Output format

【Main exhibit】what it shows + why a figure/table
【Self-contained?】title + labels + note + N/units/estimator present? [Y/N]
【Magnitude legible to a manager?】effect size + interval shown? [Y/N]
【Accessible?】grayscale-legible + colorblind-safe? [Y/N]
【Article vs supplement】split decided
【Reproducible?】generated by master script, matches package? [Y/N]
【Next】pubar-writing-style

Referee-pushback patterns and the PAR fix

  • "I can't read the magnitude — the table is all stars." → Replace stars-only cells with effect sizes and intervals; add a marginal-effects or predicted-probability plot so a practitioner sees the size.
  • "The exhibit isn't self-contained." → Put the sample, N, units, estimator, and what the estimate is into the title and note, so the figure stands alone without the prose.
  • "This figure fails in grayscale / for colorblind readers." → Switch to a colorblind-safe palette and encode with shape/linetype, not color alone; check the grayscale print.
  • "The main text is buried under robustness tables." → Keep the few exhibits that carry the argument in the article and move balance/robustness grids to the online supplement.
  • "Numbers don't match the deposited code." → Regenerate every exhibit from the master script so the printed values and the deposited materials are identical (see pubar-transparency-and-data).

Calibration anchors (hedged)

  • A PAR exhibit serves two readers: an expert checking whether the result is real, and a practitioner reading the magnitude that drives the Evidence for Practice. Design for both.
  • Because the word count excludes tables, figures, charts, and appendices (检索于 2026-06；以官网为准), use the supplement freely for secondary exhibits — but keep the main argument to a few decisive ones.
  • Confirm the current figure/table formatting and file-type requirements on the journal's author page; Wiley production specs evolve.

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 Public-Administration-Review-Skills/skills/pubar-tables-figures of brycewang-stanford/Awesome-Journal-Skills.

Open the folder on GitHubat commit 932eb23

Compare with similar skills

Pubar Tables Figures next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Pubar Tables Figures compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Pubar Tables Figures this skillbrycewang-stanford/Awesome-Journal-Skills1.2k—~1.5kAutomated safety check: PassMIT
Hypothesis Generationspacering-net/codeg3.9k14 repos~3.6kAutomated safety check: NotesMIT
GitHub Deep Researchbytedance/deer-flow84k4 repos~1.3kAutomated safety check: PassMIT
Nature Paper CardYuan1z0825/nature-skills47k2 repos~2.1kAutomated safety check: PassApache-2.0
Content Research Writerweapp-tailwindcss/weapp-tailwindcss1.9k25 repos~3.5kAutomated safety check: PassMIT
Last30daysmvanhorn/last30days-skill64k—~7.9kAutomated safety check: NotesMIT

Similar skills

  • Hypothesis Generation

    spacering-net/codeg

    Structured hypothesis formulation from observations. An agent skill from spacering-net/codeg.

    3.9k GitHub starsUsed in 14 repos~3.6k tokens
    Research & ScienceAuto-check: notes

  • GitHub Deep Research

    bytedance/deer-flow

    Researches a GitHub repository over four rounds using the GitHub API and web search, then writes a structured markdown report with timeline, metrics and Mermaid diagrams.

    84k GitHub starsUsed in 4 repos~1.3k tokens
    Research & ScienceAuto-check passed

  • Nature Paper Card

    Yuan1z0825/nature-skills

    Builds a structured deep-reading card for one scientific paper, covering methods, how experiments support claims, limitations and research ideas, with a script to prepare the source.

    47k GitHub starsUsed in 2 repos~2.1k tokens
    Research & ScienceAuto-check passed

  • Content Research Writer

    weapp-tailwindcss/weapp-tailwindcss

    Assists in writing high-quality content by conducting research, adding citations, improving hooks, iterating on outlines, and providing real-time feedback on each section.

    1.9k GitHub starsUsed in 25 repos~3.5k tokens
    Research & ScienceAuto-check passed

  • Last30days

    mvanhorn/last30days-skill

    Research what people actually say about any topic in the last 30 days.

    64k GitHub stars~7.9k tokensUpdated yesterday
    Research & ScienceAuto-check: notes

  • Peer Review

    spacering-net/codeg

    Structured manuscript/grant review with checklist-based evaluation.

    3.9k GitHub starsUsed in 17 repos~5.9k tokens
    Research & ScienceAuto-check: notes

More from brycewang-stanford/Awesome-Journal-Skills

All 2,387 skills in this repo

  • Aaag Data Analysis

    brycewang-stanford/Awesome-Journal-Skills

    A skill your agent uses when running and reporting the analysis for an Annals of the American Association of Geographers manuscript — spatial statistics and modeling, remote-sensing accuracy, or…

    1.2k GitHub stars~1.3k tokensUpdated 13 days ago
    Auto-check passed

  • Aaag Literature Positioning

    brycewang-stanford/Awesome-Journal-Skills

    A skill your agent uses when positioning an Annals of the American Association of Geographers manuscript in the literature — engaging geographic scholarship across the relevant area and the…

    1.2k GitHub stars~1.3k tokensUpdated 13 days ago
    Auto-check passed

  • Aaag Rebuttal

    brycewang-stanford/Awesome-Journal-Skills

    A skill your agent uses when responding to an Annals of the American Association of Geographers decision letter (major/minor revision) — building a point-by-point response to the subject editor and…

    1.2k GitHub stars~1.4k tokensUpdated 13 days ago
    Auto-check passed

  • Aaag Research Design

    brycewang-stanford/Awesome-Journal-Skills

    A skill your agent uses when defending the research design of an Annals of the American Association of Geographers manuscript — spatial/quantitative analysis and GIScience, remote-sensing and…

    1.2k GitHub stars~1.4k tokensUpdated 13 days ago
    Auto-check passed

  • Aaag Review Process

    brycewang-stanford/Awesome-Journal-Skills

    A skill your agent uses when you need to understand how the Annals of the American Association of Geographers evaluates a manuscript — double-anonymous review routed through a subject editor by…

    1.2k GitHub stars~1.3k tokensUpdated 13 days ago
    Auto-check passed

  • Aaag Submission

    brycewang-stanford/Awesome-Journal-Skills

    A skill your agent uses when running the final pre-submission preflight for the Annals of the American Association of Geographers via ScholarOne Manuscripts — area/article-type selection…

    1.2k GitHub stars~1.6k tokensUpdated 13 days ago
    Auto-check passed

Categories

Questions about Pubar Tables Figures

What does Pubar Tables Figures do?

A skill your agent uses when building tables and figures for a Public Administration Review (PAR) manuscript so exhibits are self-contained, accessible, and communicate effect magnitude to scholars…. Pubar Tables Figures is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when building tables and figures for a Public Administration Review (PAR) manuscript so exhibits are self-contained, accessible, and communicate effect magnitude to scholars and practitioners alike.

When should I use Pubar Tables Figures?

Pubar Tables Figures fits situations like: building tables and figures for a Public Administration Review (PAR) manuscript so exhibits are self-contained; communicate effect magnitude to scholars and practitioners alike.

How do I install Pubar Tables Figures in Claude Code?

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

How do I install Pubar Tables Figures in Codex?

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

Can I use Pubar 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 pubar-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/pubar-tables-figures, .gemini/skills/pubar-tables-figures, .github/skills/pubar-tables-figures and .opencode/skills/pubar-tables-figures in your project.

What does Pubar Tables Figures need to run?

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

Does Pubar 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 Pubar 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 Pubar Tables Figures use?

Pubar 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 Pubar Tables Figures use?

About 1.5k tokens (SKILL.md is roughly 6.1k 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 Pubar Tables Figures?

Skills that share tags, products or a category with Pubar 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 Pubar 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.