ectj-tables-figures
Use when compressing The Econometrics Journal (EctJ) tables, figures, Monte Carlo displays, empirical-application exhibits, theorem summaries, and appendix references under a roughly 20-page printed-paper constraint.
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill ectj-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.
# EctJ Tables And Figures Use this when exhibits are doing too little work or consuming too much space. ## Exhibit rules - Every main-text exhibit must support the leading case, the empirical application, or a decisive simulation diagnostic. - Use compact simulation panels rather than long grids of redundant parameter settings. - Put implementation details and expanded robustness tables in the online supplement, while keeping proof-critical or application-critical results in the printed paper or printed appendix. - Use self-contained notes: sample, estimator, tuning, uncertainty, and units should be legible without hunting through the appendix. - Prefer figures for estimator behavior, coverage, bias, RMSE, or power curves when patterns matter more than exact cells. ## Exhibit budget Assign every main-text exhibit to exactly one job: - **Theorem consequence**: makes a limiting result or approximation behavior visible. - **Monte Carlo stress test**: shows size, power, bias, RMSE, coverage, or computation under the most revealing boundary cases. - **Applied-value proof**: shows the empirical conclusion, decision, or interval that changes relative to incumbents. - **Diagnostic safeguar
- Exhibit rules
- Exhibit budget
- Main-text compression rule
- Monte Carlo display conventions referees check first
- Worked compression pass
- Theorem-adjacent exhibits
- Execution bridge (StatsPAI / Stata MCP)
- Output format
What does the ectj-tables-figures skill do?
Use when compressing The Econometrics Journal (EctJ) tables, figures, Monte Carlo displays, empirical-application exhibits, theorem summaries, and appendix references under a roughly 20-page printed-paper constraint.
How do I install it?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill ectj-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.