Agent skill · Data & Analytics

geb-data-analysis

Use when a Games and Economic Behavior (GEB) manuscript involves experimental data or numerical illustration — analyzing strategic-game experiments and building verified worked examples. Adapts analysis to GEB's game-theory nature, where data supports the theory rather than carrying a causal claim.

brycew6m878★ · +32/wk · 1 repos on radarProfile →
claude-codeMIT
Install
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill geb-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: Games-and-Economic-Behavior-Skills/skills/geb-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

# Data & Numerical Analysis (geb-data-analysis) ## When to trigger - You ran a lab/online game experiment and need to analyze choices and play paths - You want numerical examples or simulations to illustrate a theorem - A referee may question your experimental inference or example construction - You are fitting a behavioral model (QRE, level-k, social preferences) to choices ## How analysis works at GEB GEB is primarily a **theory** journal that *also* publishes experimental and computational work advancing game theory. So data analysis here is usually in service of a strategic claim — does observed play match an equilibrium prediction, distinguish solution concepts, or illustrate a mechanism — rather than estimating a treatment effect for its own sake. Keep it lighter and tightly tied to the model. ### A. Experimental game data - **Unit of observation = the session.** Subjects within a session interact and are not independent; cluster standard errors at the **independent-session** level, or use session-level summaries for nonparametric tests. - **Describe play, then test.** Report distributions of actions, convergence over rounds, and deviations from the predicted equilibrium befo

What's inside
Steps it walks through
  1. When to trigger
  2. How analysis works at GEB
  3. A. Experimental game data
  4. B. Numerical examples & simulation (for theory papers)
  5. Anti-patterns
  6. Evidence pass for Games and Economic Behavior
  7. Output format
More from Awesome-Journal-Skills
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About this skill
What does the geb-data-analysis skill do?

Use when a Games and Economic Behavior (GEB) manuscript involves experimental data or numerical illustration — analyzing strategic-game experiments and building verified worked examples. Adapts analysis to GEB's game-theory nature, where data supports the theory rather than carrying a causal claim.

How do I install it?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill geb-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