aejmac-tables-figures
Use when building or revising exhibits for an American Economic Journal: Macroeconomics (AEJ: Macro) manuscript — impulse-response figures, fan charts, model-fit overlays, and regression/moment tables — to AEA house standards and macro conventions. Formatting and clarity; it does not generate the underlying estimates.
Profile →npx skills add brycewang-stanford/Awesome-Journal-Skills --skill aejmac-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 (aejmac-tables-figures) ## When to trigger - IRF figures lack confidence bands, units, or a clear horizon axis - Tables are dense, mislabeled, or report coefficients without the macro quantity of interest - A model-fit comparison (data vs. simulated moments) is asserted in text but not shown - Exhibits do not stand alone — the reader needs the body text to decode them ## The AEJ
What does the aejmac-tables-figures skill do?
Use when building or revising exhibits for an American Economic Journal: Macroeconomics (AEJ: Macro) manuscript — impulse-response figures, fan charts, model-fit overlays, and regression/moment tables — to AEA house standards and macro conventions. Formatting and clarity; it does not generate the underlying estimates.
How do I install it?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill aejmac-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.