A skill your agent uses when building tables and figures for a Journal of Policy Analysis and Management (JPAM) manuscript — self-contained, decision-legible exhibits that show the policy effect…

MITAuto-check passedResearch & Science

Install Jpam Tables Figures

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

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

GitHub CLI
$ gh skill install brycewang-stanford/Awesome-Journal-Skills jpam-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-Policy-Analysis-and-Management-Skills/skills/jpam-tables-figures .claude/skills/jpam-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
jpam-tables-figures
GitHub stars
1.2k
Token cost
~1.5k tokens
SKILL.md length
652 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 Policy Analysis and Management (JPAM) manuscript — self-contained, decision-legible exhibits that show the policy effect…

  • Works in 4 steps: The headline effect, clearly. A main… → Design-validity exhibits. The evidence… → Heterogeneity / mechanism. A figure… → …
  • Building tables and figures for a Journal of Policy Analysis and Management (JPAM) manuscript — self-contained
  • SKILL.md covers When to trigger, What the exhibit set should…, Craft standards and Execution bridge (StatsPAI /…, plus 6 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Jpam Tables Figures is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when building tables and figures for a Journal of Policy Analysis and Management (JPAM) manuscript — self-contained, decision-legible exhibits that show the policy effect, its uncertainty, the design's validity, and cost-benefit / distributional results. Designs exhibits; it does not run the estimation.

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 Journal of Policy Analysis and Management (JPAM) manuscript — self-contained
  • Decision-legible exhibits that show the policy effect
  • Its uncertainty
  • The designs validity

Example prompts

  • “/jpam-tables-figures”

Workflow steps

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

  1. The headline effect, clearly. A main results table or a coefficient/effect figure in policy-
  2. Design-validity exhibits. The evidence that the identification holds: an **event-study /
  3. Heterogeneity / mechanism. A figure showing effects by the theory-driven subgroups.
  4. Cost-benefit / distributional. Where central, an exhibit that shows the benefit-cost result and

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

Jpam Tables Figures loads about 1.5k tokens when it runs. Until then it costs about 82 tokens; SKILL.md has 652 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~82
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). 652 words, ~1,487 tokens.

Download SKILL.mdSave it as .claude/skills/jpam-tables-figures/SKILL.md (or your agent's skills folder).
name
jpam-tables-figures
description
Use when building tables and figures for a Journal of Policy Analysis and Management (JPAM) manuscript — self-contained, decision-legible exhibits that show the policy effect, its uncertainty, the design's validity, and cost-benefit / distributional results. Designs exhibits; it does not run the estimation.

Tables & Figures (jpam-tables-figures)

JPAM exhibits serve a mixed audience — economists, political scientists, public-management scholars, and practitioners — so they must be self-contained and decision-legible: a policymaker should grasp the main result, its uncertainty, and who it affects without reading the methods section. Lead with the exhibit that shows the policy effect and its credibility, not a wall of coefficients.

When to trigger

  • Designing the main results table/figure and the design-validity exhibits
  • A reviewer found tables unreadable, or the key result hard to locate
  • Presenting cost-benefit or distributional results visually
  • Preparing exhibits for the (double-blind) submission

What the exhibit set should contain

  1. The headline effect, clearly. A main results table or a coefficient/effect figure in policy- relevant units, with confidence intervals — not just significance stars.
  2. Design-validity exhibits. The evidence that the identification holds: an event-study / pre-trends plot for DiD, an RD plot with binned means and the fitted discontinuity, a balance table for an RCT, a synthetic-control fit plot. These often persuade reviewers more than the point estimate.
  3. Heterogeneity / mechanism. A figure showing effects by the theory-driven subgroups.
  4. Cost-benefit / distributional. Where central, an exhibit that shows the benefit-cost result and its sensitivity, or the distribution of gains and costs across groups.

Craft standards

  • Self-contained captions: define the sample, the estimator, the units, the inference (what the error bars/SEs are and the clustering), and the time window — readable without the text.
  • Confidence intervals over stars in figures; report SEs and the clustering level in tables.
  • Policy-relevant units on axes and in cells (dollars, percentage points, per-recipient).
  • Accessible design: colorblind-safe palettes, legible in grayscale, vector output for print.
  • Honest scaling: do not truncate axes to exaggerate an effect; show the zero line where relevant.

Execution bridge (StatsPAI / Stata MCP)

Generate exhibits from the fitted result, not by retyping numbers. Full map: execution-with-mcp. JPAM is policy analysis — program evaluation is the core; DiD/IV/RDD and the policy-relevant magnitude are decisive.

  • 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.

Checklist

  • Main effect in policy-relevant units with CIs, locatable at a glance
  • A design-validity exhibit (event-study / RD plot / balance / SC fit) included
  • Heterogeneity exhibit matches the pre-specified subgroups
  • Cost-benefit / distributional result shown where it is central
  • Captions self-contained: sample, estimator, units, inference, window
  • Colorblind-safe, grayscale-legible, vector format
  • Every exhibit number/value matches the deposited replication output
Show full SKILL.md (234 more words)Show less

Anti-patterns

  • A dense regression table with stars and no confidence intervals or units
  • Hiding the parallel-trends / RD-validity evidence in an appendix the reviewer must hunt for
  • Captions that require the methods section to interpret
  • Truncated or rescaled axes that overstate the effect
  • A cost-benefit conclusion in prose only, with no exhibit or sensitivity shown
  • Exhibits whose numbers drift from the replication package

Calibration anchors (hedged)

  • For a DiD or RD paper, the design-validity figure often does more persuasive work than the point estimate — a clean pre-trends or RD plot pre-empts the cross-disciplinary referee's first objection.
  • A mixed APPAM audience reads exhibits before prose; if the headline effect and its uncertainty are not legible from the figure alone, the paper feels harder than it is.
  • Confidence intervals communicate policy precision better than stars — a wide CI is itself information a decision-maker needs.

Worked micro-example (illustrative)

For a staggered-adoption DiD, the strong exhibit set is: (1) an event-study figure with confidence bands showing flat pre-trends and the post-policy effect; (2) a main table reporting the heterogeneity-robust estimate in dollars with the clustering level named; (3) a subgroup figure for the pre-specified populations; and (4) a benefit-cost panel with sensitivity bars. A reviewer can verify the identification, read the magnitude, and see the policy bottom line without leaving the figures. (Illustrative.)

Output format

【Headline exhibit】main effect + CI in policy units
【Design-validity exhibit】event-study / RD / balance / SC fit
【Heterogeneity / mechanism】subgroup figure
【Cost-benefit / distribution】exhibit + sensitivity (if central)
【Accessibility】colorblind-safe, grayscale, vector? [Y/N]
【Next】jpam-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-Policy-Analysis-and-Management-Skills/skills/jpam-tables-figures of brycewang-stanford/Awesome-Journal-Skills.

Open the folder on GitHubat commit 932eb23

Compare with similar skills

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Questions about Jpam Tables Figures

What does Jpam Tables Figures do?

A skill your agent uses when building tables and figures for a Journal of Policy Analysis and Management (JPAM) manuscript — self-contained, decision-legible exhibits that show the policy effect…. Jpam Tables Figures is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when building tables and figures for a Journal of Policy Analysis and Management (JPAM) manuscript — self-contained, decision-legible exhibits that show the policy effect, its uncertainty, the design's validity, and cost-benefit / distributional results.

When should I use Jpam Tables Figures?

Jpam Tables Figures fits situations like: building tables and figures for a Journal of Policy Analysis and Management (JPAM) manuscript — self-contained; decision-legible exhibits that show the policy effect; its uncertainty; the designs validity.

How do I install Jpam Tables Figures in Claude Code?

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

How do I install Jpam Tables Figures in Codex?

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

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

What does Jpam Tables Figures need to run?

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

Does Jpam 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 Jpam 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 Jpam Tables Figures use?

Jpam 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 Jpam Tables Figures use?

About 1.5k tokens (SKILL.md is roughly 5.9k 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 Jpam Tables Figures?

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