crim-tables-figures
Use when building tables and figures for a Criminology (ASC / Wiley) manuscript so exhibits are self-contained, accessible, and communicate crime patterns clearly — age-crime curves, trajectory-group plots, recidivism survival curves, hot-spot maps, and effect plots. Designs exhibits; it does not run the analysis.
Profile →npx skills add brycewang-stanford/Awesome-Journal-Skills --skill crim-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 (crim-tables-figures) Exhibits are where an expert reviewer checks whether the crime result is real. Criminology has its own signature figures — the age–crime curve, trajectory-group plots, survival curves, and crime maps — and each must earn its place and stand on its own. ## When to trigger - Designing the main results table/figure or a key descriptive exhibit - Deciding what belongs in the article vs. an online appendix/supplement - A reviewer found an exhibit unclear, mislabeled, or non-self-contained - Presenting a trajectory model, survival analysis, or spatial pattern ## Principles 1. **Self-contained.** A reader should understand each exhibit from its title, axis/column labels, and note alone. State the crime measure, units (counts vs. rates per 100k), sample, N, and time window. 2. **Figures over dense tables for effects.** Coefficient/forest plots, predicted counts/rate-ratio plots, and marginal-effects plots beat a wall of coefficients. Always show intervals. 3. **Show the curve, not just the coefficient.** Age–crime curves, trajectory-group plots (with group shares and CIs), and Kaplan–Meier / cumulative-incidence recidivism curves communicate the cri
- When to trigger
- Principles
- Criminology-specific exhibits
- Execution bridge (StatsPAI / Stata MCP)
- Anti-patterns
- Exhibit choice for the signature crime objects (decision table)
- Worked micro-example: fixing a misleading hot-spot map (illustrative)
- Exhibit pass for Criminology
- Output format
- Supplementary resources
What does the crim-tables-figures skill do?
Use when building tables and figures for a Criminology (ASC / Wiley) manuscript so exhibits are self-contained, accessible, and communicate crime patterns clearly — age-crime curves, trajectory-group plots, recidivism survival curves, hot-spot maps, and effect plots. Designs exhibits; it does not run the analysis.
How do I install it?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill crim-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.