Agent skill

jae-tables-figures

Use when building the exhibits for a Journal of Accounting and Economics (JAE) manuscript — variable-definition appendix, sample-construction table, descriptive statistics and correlations, regression tables with clustered standard errors, and event-study/DiD figures — in Elsevier house style so each exhibit is self-contained and reproducible.

brycew6m4,252★ · +31/wk · 3 repos on radarProfile →
claude-codeMIT
Install
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jae-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-Accounting-and-Economics-Skills/skills/jae-tables-figures/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 984 · +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 for JAE (jae-tables-figures) ## When to trigger - Regression output is pasted in raw and not yet reader-ready - Tables do not state the sample, the SE clustering, or variable definitions - A reviewer cannot tell which coefficients are the test of the hypothesis - You need a variable-definition appendix or a sample-waterfall table ## The standard JAE exhibit set Archival JAE papers carry a recognizable table sequence; build it deliberately: 1. **Variable definitions** (often an appendix): every variable, its construction, and the data source (Compustat/CRSP/I/B/E/S/Execucomp/DealScan/Audit Analytics). Reviewers check this first. 2. **Sample construction**: the waterfall from population to final N with counts at each exclusion. 3. **Descriptive statistics**: N, mean, median, SD, and key percentiles; note winsorization (e.g., 1%/99%). 4. **Correlation matrix**: Pearson (and often Spearman) correlations among main variables. 5. **Main regressions**: the hypothesis tests, with the coefficient of interest visually identifiable. 6. **Cross-sectional / mechanism tables**: partitions showing the effect concentrates where the friction is severe. 7. **Robustness tables**: a

What's inside
Steps it walks through
  1. When to trigger
  2. The standard JAE exhibit set
  3. Reporting conventions reviewers expect
  4. Figures
  5. Elsevier house style
  6. Execution bridge (StatsPAI / Stata MCP)
  7. Checklist
  8. Anti-patterns
  9. Exhibit pass for Journal of Accounting and Economics
  10. Output format
More from Awesome-Journal-Skills
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About this skill
What does the jae-tables-figures skill do?

Use when building the exhibits for a Journal of Accounting and Economics (JAE) manuscript — variable-definition appendix, sample-construction table, descriptive statistics and correlations, regression tables with clustered standard errors, and event-study/DiD figures — in Elsevier house style so each exhibit is self-contained and reproducible.

How do I install it?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jae-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 984 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.

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