ectheory-tables-figures
Use for the exhibits in an Econometric Theory (ET) paper — Monte Carlo size/power/coverage tables, finite-sample and limit-behavior plots, with self-contained notes, ET figure-format specs (TIFF/EPS/PDF), and legibility at 50% reduction.
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill ectheory-tables-figures --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Tables & Figures (ectheory-tables-figures) ## When to trigger - Turning Monte Carlo output into publication tables (size, power, coverage, bias, RMSE) - Building plots of finite-sample distributions, convergence to the limit, or rejection curves - Preparing figure files to ET's format and resolution specs - Checking that exhibits are self-contained and legible after print reduction ## What ET exhibits look like ET is a theory journal, so most exhibits are **simulation tables and diagnostic plots that illustrate the asymptotics**, not empirical-result tables. Common exhibits: - **Size/power tables** — empirical rejection rates under the null (vs nominal level) and under alternatives, across DGPs and sample sizes. - **Coverage / bias / RMSE tables** — for estimators, across n and DGP, against a benchmark method. - **Distribution / convergence plots** — empirical vs limiting density (e.g., normal, mixed-normal, Brownian functional); QQ plots; rejection curves as a function of the alternative. - **Rate plots** — a statistic against n on a scale that reveals the convergence rate. ## Construction standards - **Self-contained notes.** Each table/figure note states the DGP, sample sizes,
- When to trigger
- What ET exhibits look like
- Construction standards
- Checklist
- Anti-patterns
- Exhibit pass for Econometric Theory
- Output format
What does the ectheory-tables-figures skill do?
Use for the exhibits in an Econometric Theory (ET) paper — Monte Carlo size/power/coverage tables, finite-sample and limit-behavior plots, with self-contained notes, ET figure-format specs (TIFF/EPS/PDF), and legibility at 50% reduction.
How do I install it?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill ectheory-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.