Agent skill · Design & Presentation

jet-identification-strategy

Use when hardening the assumptions, results, and proof architecture of a Journal of Economic Theory (JET) paper — the theory analogue of an identification strategy. Make every assumption explicit and load-bearing, architect the proof so two expert referees can verify it, and defend the generality/tractability trade-off; for JET, "identification" means assumption sets and proof exposition, not a causal design.

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

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

Facts
Files in the skill folder: 1
SKILL.md size: 6 KB
Bundled scripts: none
Path: Journal-of-Economic-Theory-Skills/skills/jet-identification-strategy/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

# Assumptions, Results & Proof Architecture (jet-identification-strategy) ## When to trigger - You have a candidate theorem and need to make its assumptions and proof referee-proof - A referee may ask "is assumption X necessary?" or "does this hold in the general case?" - You are choosing between a clean special case and a more general but opaque statement ## Why this replaces a causal "identification strategy" JET is **theory-first**: there is no data design to identify. The credibility of a JET paper rests on **assumptions that are explicit and minimal, results stated precisely, and proofs an expert can check** — refereed single-blind by **at least two** reviewers who will verify each step. ## The theory checklist ### Assumptions - [ ] Every assumption is **stated formally** (domain, regularity: continuity, convexity, single-crossing, finiteness) before it is used - [ ] Each assumption is **load-bearing** — for each one, you can name the step that fails without it - [ ] No **silent** assumption smuggled into a proof (a common referee catch) - [ ] Necessity is addressed: a **counterexample** shows what breaks if a key assumption is dropped ### Results - [ ] The main result is a **

What's inside
Steps it walks through
  1. When to trigger
  2. Why this replaces a causal "identification strategy"
  3. The theory checklist
  4. Assumptions
  5. Results
  6. Proof exposition
  7. Generality vs. tractability
  8. Assumption-set architecture (three tiers)
  9. Proof-spine scaffold
  10. Writing the tightness discussion JET-style
  11. Micro-vignette (decision theory)
  12. Anti-patterns
  13. Output format
More from Awesome-Journal-Skills
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About this skill
What does the jet-identification-strategy skill do?

Use when hardening the assumptions, results, and proof architecture of a Journal of Economic Theory (JET) paper — the theory analogue of an identification strategy. Make every assumption explicit and load-bearing, architect the proof so two expert referees can verify it, and defend the generality/tractability trade-off; for JET, "identification" means assumption sets and proof exposition, not a causal design.

How do I install it?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jet-identification-strategy --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