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.
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.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# 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
- When to trigger
- How analysis works at GEB
- A. Experimental game data
- B. Numerical examples & simulation (for theory papers)
- Anti-patterns
- Evidence pass for Games and Economic Behavior
- Output format
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.