red-tables-figures
Use when designing the exhibits of a Review of Economic Dynamics (RED) manuscript — impulse-response functions, calibration tables, moment-matching (model-vs-data) tables, policy-experiment figures, and accuracy diagnostics — so a quantitative dynamic paper communicates its mechanism and fit clearly to the SED readership.
Profile →npx skills add brycewang-stanford/Awesome-Journal-Skills --skill red-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 for RED (red-tables-figures) ## When to trigger - Building the exhibits that carry a quantitative dynamic paper - Deciding how to show model-vs-data fit and the mechanism behind a result - Making IRFs and policy experiments legible at print resolution ## Exhibits that fit RED RED papers live or die on whether the **mechanism** and the **quantitative fit** are visible. Favor: - **Impulse-response functions (IRFs)** — the workhorse figure for dynamic models; plot model responses to the key shocks, overlay alternative parameterizations to isolate the mechanism, and (where relevant) overlay empirical responses. - **Calibration table** — every parameter, value, source/target, and status (calibrated/estimated/assumed), so a reader can audit discipline at a glance. - **Moment-matching table** — targeted and **untargeted** moments side by side, model vs data; untargeted fit is a credibility highlight, so give it prominence. - **Policy / counterfactual experiment figures** — show the magnitude of the dynamic effect and the transition path, not just steady-state comparisons. - **Accuracy diagnostics** — Euler-equation errors or convergence plots where the computation is no
- When to trigger
- Exhibits that fit RED
- Execution bridge (StatsPAI / Stata MCP)
- Checklist
- Anti-patterns
- Exhibit sequence
- Mock moment table (model vs data)
- Exhibit-budget anchor
- Figure-craft pushback
- Supplementary resources
What does the red-tables-figures skill do?
Use when designing the exhibits of a Review of Economic Dynamics (RED) manuscript — impulse-response functions, calibration tables, moment-matching (model-vs-data) tables, policy-experiment figures, and accuracy diagnostics — so a quantitative dynamic paper communicates its mechanism and fit clearly to the SED readership.
How do I install it?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill red-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.