Agent skill · Testing & QA

jbes-tables-figures

Use when designing the simulation tables and figures for a Journal of Business & Economic Statistics (JBES) methods paper so size, power, coverage, and the empirical results are legible to both statisticians and applied economists. Improves exhibits; it does not change results.

brycew6m878★ · +32/wk · 1 repos on radarProfile →
claude-codeMIT
Install
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jbes-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-Business-and-Economic-Statistics-Skills/skills/jbes-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 (jbes-tables-figures) ## When to trigger - Simulation tables are dense and a reader cannot read off whether the method controls size - Size, power, coverage, bias, and RMSE are scattered instead of side-by-side - Figures lack confidence bands, or compare against no baseline - Exhibit notes do not state the DGP, sample size, replications, or nominal level ## What JBES exhibits must communicate A JBES paper is judged by method experts who read the tables as the evidence. Exhibits carry two distinct jobs: the **Monte Carlo exhibits** that establish the method's statistical properties, and the **empirical exhibits** that establish relevance on real data. Both must be readable by a statistician *and* an applied economist, since the journal bridges the two communities. ## Monte Carlo exhibits - Put **size and power side-by-side** across DGPs and sample sizes; mark the nominal level so over/under-rejection is obvious. - For interval methods, report **coverage and average length** together; for point estimators, **bias and RMSE** together. - Always show the **incumbent baseline** in the same table under identical DGPs. - Figures: size-power curves, coverage-vs-n plots, e

What's inside
Steps it walks through
  1. When to trigger
  2. What JBES exhibits must communicate
  3. Monte Carlo exhibits
  4. Empirical exhibits
  5. Self-contained notes (every exhibit)
  6. Execution bridge (StatsPAI / Stata MCP)
  7. Checklist
  8. Anti-patterns
  9. Worked vignette: a size-and-power table a referee can read
  10. Exhibit-pushback patterns (venue-specific fixes)
  11. Exhibit pass for Journal of Business & Economic Statistics
  12. Output format
More from Awesome-Journal-Skills
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About this skill
What does the jbes-tables-figures skill do?

Use when designing the simulation tables and figures for a Journal of Business & Economic Statistics (JBES) methods paper so size, power, coverage, and the empirical results are legible to both statisticians and applied economists. Improves exhibits; it does not change results.

How do I install it?

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