Agent skill · Data & Analytics

jet-data-analysis

Use when handling numerical, computational, or empirical content in a Journal of Economic Theory (JET) paper — JET is theory-first, so examples, simulations, and computed equilibria must stay subordinate to the theorem and reproducible.

brycew6m878★ · +32/wk · 1 repos on radarProfile →
claude-codeMIT
Install
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jet-data-analysis --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: Journal-of-Economic-Theory-Skills/skills/jet-data-analysis/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

# Numerical & Computational Content (jet-data-analysis) ## When to trigger - Your theory paper includes a worked numerical example, a simulation, a computed equilibrium, or (rarely) empirical/experimental evidence - You want to know how much computational content JET will accept and how to present it - You need to keep a computation from overshadowing the theorem ## The JET rule: theory-first, computation subordinate JET publishes **rigorous, original theoretical results**. Empirical, experimental, quantitative, and computational work is welcome **only when firmly grounded in theory** — i.e., as the **illustration or test of a theoretical contribution that is itself the paper's point**, never as a stand-alone empirical or computational paper. This skill is deliberately **light**: most JET papers are pure theory, so the default is *minimal* numerical content. ## How to present numerical content - **Make it serve the theorem.** A numerical example should make an assumption bite, exhibit the characterized object, or show tightness of a bound — not stand alone as a finding. - **Keep examples small and transparent.** A 2x2 game, a two-type screening problem, or a three-agent matching ma

What's inside
Steps it walks through
  1. When to trigger
  2. The JET rule: theory-first, computation subordinate
  3. How to present numerical content
  4. Picking the smallest environment that makes the point
  5. Minimal verification script (template)
  6. Where computation sits in an accepted JET paper
  7. Anti-patterns
  8. Output format
More from Awesome-Journal-Skills
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About this skill
What does the jet-data-analysis skill do?

Use when handling numerical, computational, or empirical content in a Journal of Economic Theory (JET) paper — JET is theory-first, so examples, simulations, and computed equilibria must stay subordinate to the theorem and reproducible.

How do I install it?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jet-data-analysis --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