Agent Skills
› brycewang-stanford/Awesome-Journal-Skills
› ectheory-tables-figures
ectheory-tables-figures
GitHub用于计量理论论文蒙特卡洛模拟结果的处理。涵盖生成大小/功效表、收敛性绘图，确保图表自包含、50%缩小后清晰可读，并符合ET期刊TIFF/EPS/PDF格式规范及排版标准。
Trigger Scenarios
将蒙特卡洛输出转换为发表用表格（如大小、功效、覆盖率）
构建有限样本分布或极限行为的诊断图
准备符合计量理论期刊规范的图形文件
检查图表在打印缩小后的可读性和自包含性
Install
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill ectheory-tables-figures -g -y
SKILL.md
Frontmatter
{
"name": "ectheory-tables-figures",
"description": "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."
}
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, number of replications, nominal level, and what each column/curve is — readable without the main text.
- Honest contrast. Put your method beside the natural competitor in the same table; do not hide the comparison.
- Legibility. Exhibits must be legible at 50% reduction; avoid chartjunk, 3D, and dense color. Keep table precision sensible (e.g., 3 decimals for rejection rates).
- Figure files (ET specs). Supply TIFF (line art >=600 dpi, greyscale >=300 dpi), EPS (fonts embedded), or PDF. Embed fonts; vector output for line art.
- Numbering. Tables and figures numbered and called out in order in the text.
Checklist
- Each exhibit note states DGP, n, replications, nominal level, and column/curve definitions
- Size reported against the nominal level; power against stated alternatives
- Benchmark method shown alongside, not omitted
- Plots show convergence/limit behavior clearly; rate legible where claimed
- Legible at 50% reduction; no chartjunk; sensible decimal precision
- Figure files in TIFF/EPS/PDF with fonts embedded, at required resolution
- All exhibits numbered and referenced in order
Anti-patterns
- A size table without the nominal level, so over-/under-rejection cannot be judged
- Notes that require the reader to hunt through the text to decode the columns
- Cherry-picked DGPs hiding the regime where the method underperforms
- Raster figures at low dpi that blur at print reduction
- 3D bars or rainbow palettes obscuring a simple size/power comparison
Exhibit pass for Econometric Theory
Treat this skill as an executable review pass, not a prose hint. First lock the primitive assumptions, theorem statement, proof route, and example showing why the result matters; then judge whether the current manuscript answers the venue's real reader: econometric theorists who read for assumptions, theorem novelty, proof architecture, and relation to known asymptotics.
- Do the pass: For every table or figure, state the estimand or object, sample or case base, uncertainty display, and one sentence the exhibit proves for the venue audience.
- Return a ledger: give
claim / evidence / risk / manuscript locationrows, so the next agent can edit rather than rediscover the issue. - Sibling guard: compare against Journal of Econometrics for applied-method reach, Quantitative Economics for theoretical economics, Econometrica for general theory-plus-economics contribution; if a sibling owns the contribution, recommend re-routing before polishing format.
- Stop condition: do not give submission-ready advice until the pack's
resources/official-source-map.mdhas been checked for volatile rules and the manuscript has one concrete fix for the largest venue-specific risk.
Output format
【Exhibit】size / power / coverage / bias-RMSE / distribution / rate plot
【Self-contained note】DGP + n + reps + level stated? [Y/N]
【Benchmark shown】[Y/N]
【Legible at 50%】[Y/N]
【File format】TIFF / EPS / PDF, fonts embedded? [Y/N]
【Next step】ectheory-writing-style
Version History
- 1839142 Current 2026-07-05 12:52
