aer-paper-body
Use when drafting or revising the body sections of an AER, AER:Insights, or AEJ manuscript — institutional background, data, empirical strategy, results, mechanisms, and conclusion. Covers equation conventions, results-paragraph narration, magnitude interpretation, and back-of-envelope policy calculations. Apply after the empirics are stable and before or alongside aer-introduction.
Profile →npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill aer-paper-body --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.
# AER Paper Body ## Overview The introduction decides whether the editor sends the paper out; the **body sections decide what the referees write**. Referees live in Data, Empirical Strategy, and Results, checking that the estimand is defined, the assumption stated, the magnitudes interpreted, and the prose matched to the tables. Draft the body **before** the introduction — the introduction summari
What does the aer-paper-body skill do?
Use when drafting or revising the body sections of an AER, AER:Insights, or AEJ manuscript — institutional background, data, empirical strategy, results, mechanisms, and conclusion. Covers equation conventions, results-paragraph narration, magnitude interpretation, and back-of-envelope policy calculations. Apply after the empirics are stable and before or alongside aer-introduction.
How do I install it?
Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill aer-paper-body --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/Auto-Empirical-Research-Skills, a repository with 3,244 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.