Agent skill · Code Review & Quality

aeri-identification

Use when the identification argument is the bottleneck for an American Economic Review: Insights (AER: Insights) short-format manuscript — causal identification in an empirical design, parameter identification in a structural model, or treatment-effect identification in an experiment. Stress-tests the strategy so it is clean enough to defend in a few pages, before exhibits are finalized.

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

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

Facts
Files in the skill folder: 1
SKILL.md size: 7 KB
Bundled scripts: none
Path: AER-Insights-Skills/skills/aeri-identification/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

# Identification — Clean Enough to Defend Short (aeri-identification) ## When to trigger - The single headline result rests on OLS + controls, or TWFE on staggered timing - A structural parameter is estimated but it is unclear *what in the data* identifies it - An experiment's estimand or assumptions are not pinned down - You are unsure the identification is clean enough to carry a *short* paper ## The AER: Insights identification bar A short paper has **no room to rescue a weak design** with pages of robustness. The identification must be **clean, transparent, and self-contained** — the central exhibit and one or two sentences should make a non-specialist believe the headline number. Because AER: Insights papers are one insight at AER-level importance, the design is held to AER credibility but expressed with extreme economy: state the **data-to-object mapping in one sentence**, show the **single most convincing diagnostic in-text**, and move the rest to the Supplemental Appendix. AEA house style: report **standard errors / confidence sets**, not significance asterisks, and make everything reproducible for the AEA Data Editor. ## Branch paths ### Branch A: Empirical causal design (

What's inside
Steps it walks through
  1. When to trigger
  2. The AER: Insights identification bar
  3. Branch paths
  4. Branch A: Empirical causal design (the most common AER: Insights paper)
  5. Branch B: Experiment (own data)
  6. Branch C: Structural / parameter identification
  7. Branch D: New fact / measurement
  8. Choosing the single in-text diagnostic
  9. Execution bridge (StatsPAI / Stata MCP)
  10. Checklist
  11. Anti-patterns
  12. Referee pushback mapped to the fix
  13. Output format
More from Awesome-Journal-Skills
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About this skill
What does the aeri-identification skill do?

Use when the identification argument is the bottleneck for an American Economic Review: Insights (AER: Insights) short-format manuscript — causal identification in an empirical design, parameter identification in a structural model, or treatment-effect identification in an experiment. Stress-tests the strategy so it is clean enough to defend in a few pages, before exhibits are finalized.

How do I install it?

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

Keep going