jcf-tables-figures
Use when building the tables and figures for a Journal of Corporate Finance (JCF) empirical paper — summary statistics, main regression tables with fixed effects and clustering disclosed, event-study/CAR plots, and self-contained notes. It shapes the exhibits; pair with jcf-data-analysis for the underlying estimates.
Profile →npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jcf-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 (jcf-tables-figures) ## When to trigger - Designing the summary-statistics, main-result, and robustness tables - Building event-study or CAR figures with confidence bands - Writing self-contained table/figure notes a reviewer can read without the text ## Table conventions (empirical corporate finance) - **Summary statistics**: N, mean, SD, key percentiles; flag winsorizing and units. Match the sample to the regression sample. - **Main regression tables**: coefficients with standard errors (or t-stats) clearly labeled; report the **fixed effects included**, the **clustering level**, N, and within/adjusted R². Show **economic magnitude** (e.g., a 1-SD change) near the headline coefficient. - **Robustness tables**: vary one thing per panel/column (definition, subsample, FE, estimator) so the reader sees what moves the result. - Use a consistent decimal precision; do not hide the dependent variable's scaling. ## Figure conventions - **Event-study / CAR plots**: plot coefficients (or cumulative abnormal returns) with **confidence bands**; mark the event date; show **pre-event leads** to support parallel trends. - Binned scatters for nonlinearity; avoid 3D, gradients,
- When to trigger
- Table conventions (empirical corporate finance)
- Figure conventions
- Self-contained notes (required)
- Formatting and policy
- Exhibit architecture (calibration, hedged)
- Worked headline-table sketch
- Exhibit pushback and the fix
- Execution bridge (StatsPAI / Stata MCP)
- Anti-patterns
- Output
What does the jcf-tables-figures skill do?
Use when building the tables and figures for a Journal of Corporate Finance (JCF) empirical paper — summary statistics, main regression tables with fixed effects and clustering disclosed, event-study/CAR plots, and self-contained notes. It shapes the exhibits; pair with jcf-data-analysis for the underlying estimates.
How do I install it?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jcf-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.