Agent skill · Workflow & Productivity

geb-tables-figures

Use when building exhibits for a Games and Economic Behavior (GEB) manuscript — payoff matrices, extensive-form game trees, equilibrium/result tables, and experimental plots. Makes strategic structure and results readable to a game-theory audience.

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

# Tables & Figures (geb-tables-figures) ## When to trigger - A game's structure is described in prose instead of shown as a tree or matrix - A results/comparison table is dense or hard to map to the theorems - Experimental plots do not show convergence, distributions, or uncertainty clearly - You are preparing exhibits for the elsarticle-formatted version ## What exhibits do at GEB GEB papers are

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About this skill
What does the geb-tables-figures skill do?

Use when building exhibits for a Games and Economic Behavior (GEB) manuscript — payoff matrices, extensive-form game trees, equilibrium/result tables, and experimental plots. Makes strategic structure and results readable to a game-theory audience.

How do I install it?

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

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