Agent skill

qje-tables-figures

Use when finalizing the main exhibits of a Quarterly Journal of Economics (QJE) manuscript — making the paper figure-forward, with clean tables and self-contained notes that read well in QJE's single-PDF, author-date format. Designs exhibits; it does not run new analysis.

brycew6m878★ · +32/wk · 1 repos on radarProfile →
claude-codeMIT
Install
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill qje-tables-figures --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 5 KB
Bundled scripts: none
Path: Quarterly-Journal-of-Economics-Skills/skills/qje-tables-figures/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 909 · +31 this week
Language: Stata
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Tables & Figures (qje-tables-figures) ## When to trigger - The main result is a dense table with too many columns - The paper is "table-heavy" when the design would land better as a figure - Table notes are incomplete (sample, units, clustering, significance unclear) - An event-study / RDD / binscatter result is hidden in a table instead of plotted ## QJE aesthetic: figure-forward, self-containe

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About this skill
What does the qje-tables-figures skill do?

Use when finalizing the main exhibits of a Quarterly Journal of Economics (QJE) manuscript — making the paper figure-forward, with clean tables and self-contained notes that read well in QJE's single-PDF, author-date format. Designs exhibits; it does not run new analysis.

How do I install it?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill qje-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.

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