Agent skill · Data & Analytics

jar-tables-figures

Use when finalizing the descriptive, results, and identification exhibits for a Journal of Accounting Research (JAR) manuscript — the summary-statistics table, correlation matrix, main regression tables, and identification plots that an empirical-archival accounting paper lives or dies on. Builds the exhibits; it does not run the estimation (jar-data-analysis) or polish prose (jar-writing-style).

brycew6m878★ · +32/wk · 1 repos on radarProfile →
claude-codeMIT
Install
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jar-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: 5 KB
Bundled scripts: none
Path: Journal-of-Accounting-Research-Skills/skills/jar-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 (jar-tables-figures) ## When to trigger - Tables are cluttered, inconsistent, or not self-explanatory - A referee cannot tell the sample, units, or SE clustering from the table notes - You need the standard JAR exhibit set assembled in house style - Identification needs a figure (pre-trends, RD plot) to be believed ## The standard JAR exhibit set An empirical-archival JAR paper is read through its tables. Build, in order: 1. **Sample construction table** — from the raw population to the final N, line by line, with each screen and the observations lost. Referees expect to trace the sample. 2. **Descriptive statistics** — N, mean, SD, and key percentiles for every variable; state winsorization (e.g., 1/99%). 3. **Correlation matrix** — Pearson (and often Spearman) among the main variables; flag significance. 4. **Main results** — the central regression(s): coefficients with t-/z-stats or standard errors beneath, the **SE clustering stated in the note**, fixed effects indicated, and N and R² (or pseudo-R²) reported. 5. **Identification & robustness** — first-stage (IV), DiD dynamics, RD estimates, falsification/placebo, alternative measures, and cross-sectional (cha

What's inside
Steps it walks through
  1. When to trigger
  2. The standard JAR exhibit set
  3. House-style discipline
  4. Figures that earn their place
  5. Execution bridge (StatsPAI / Stata MCP)
  6. Checklist
  7. Anti-patterns
  8. Output format
  9. Resources
More from Awesome-Journal-Skills
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About this skill
What does the jar-tables-figures skill do?

Use when finalizing the descriptive, results, and identification exhibits for a Journal of Accounting Research (JAR) manuscript — the summary-statistics table, correlation matrix, main regression tables, and identification plots that an empirical-archival accounting paper lives or dies on. Builds the exhibits; it does not run the estimation (jar-data-analysis) or polish prose (jar-writing-style).

How do I install it?

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