Agent skill · Design & Presentation

jpam-tables-figures

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.

brycew6m878★ · +32/wk · 1 repos on radarProfile →
claude-codeMIT
Install
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jpam-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: 6 KB
Bundled scripts: none
Path: Journal-of-Policy-Analysis-and-Management-Skills/skills/jpam-tables-figures/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 909 · +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 (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 review

What's inside
Steps it walks through
  1. When to trigger
  2. What the exhibit set should contain
  3. Craft standards
  4. Execution bridge (StatsPAI / Stata MCP)
  5. Checklist
  6. Anti-patterns
  7. Calibration anchors (hedged)
  8. Worked micro-example (illustrative)
  9. Output format
  10. Supplementary resources
More from Awesome-Journal-Skills
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About this skill
What does the jpam-tables-figures skill do?

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.

How do I install it?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jpam-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 909 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