aer-robustness
Use when the main empirical results exist but the manuscript lacks the robustness, heterogeneity, mechanism, and placebo checks that AER referees will demand. Apply after aer-identification and before aer-introduction so that the value-added paragraph can reference these tests.
Profile →npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill aer-robustness --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 Robustness ## Overview A modern AER referee report contains three predictable demands: 1. **Robustness** — does the result survive specification changes? 2. **Heterogeneity** — where does the effect concentrate, and is that consistent with the proposed channel? 3. **Mechanism** — *why* does X cause Y? This skill anticipates all three so that the referee finds the answer already in the paper.
What does the aer-robustness skill do?
Use when the main empirical results exist but the manuscript lacks the robustness, heterogeneity, mechanism, and placebo checks that AER referees will demand. Apply after aer-identification and before aer-introduction so that the value-added paragraph can reference these tests.
How do I install it?
Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill aer-robustness --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.