Agent skill

geb-topic-selection

Use when judging whether a game-theory result is the right fit and scale for Games and Economic Behavior (GEB) — does it advance the frontiers of game theory and its applications? Tests the idea against GEB's specialist-but-general-interest bar before the paper is built out.

brycew6m4,252★ · +31/wk · 3 repos on radarProfile →
claude-codeMIT
Install
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill geb-topic-selection --agent claude-code

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

Facts
Files in the skill folder: 1
SKILL.md size: 4 KB
Bundled scripts: none
Path: Games-and-Economic-Behavior-Skills/skills/geb-topic-selection/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 984 · +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

# Topic Selection (geb-topic-selection) ## When to trigger - You have a model or experiment but are unsure it is "GEB-sized" - The result is correct but feels incremental over a known theorem - You are deciding between GEB and a field outlet (theory, behavioral, CS/EC venue) - A referee or colleague said "true, but so what?" ## The GEB fit bar GEB is the **leading specialist game-theory journal** and an official journal of the **Game Theory Society** (Elsevier; founded 1989 by Ehud Kalai; chief editor Hervé Moulin since 2021). The defining test is not general-economics policy interest — it is whether the work **significantly advances the frontiers of game theory and its applications**. The scope is deliberately broad across **methods**: equilibrium theory, mechanism and market design, behavioral game theory, learning and dynamics, and experimental/empirical work — and broad across **fields** that use game theory: economics, political science, biology, computer science, mathematics, and psychology. The audience is a general game-theory readership, so the contribution must be legible and interesting beyond one narrow sub-literature. Selectivity is explicit and high: about **one-third

What's inside
Steps it walks through
  1. When to trigger
  2. The GEB fit bar
  3. Fit tests (a GEB paper usually clears several)
  4. Anti-patterns
  5. Fit pass for Games and Economic Behavior
  6. Output format
More from Awesome-Journal-Skills
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About this skill
What does the geb-topic-selection skill do?

Use when judging whether a game-theory result is the right fit and scale for Games and Economic Behavior (GEB) — does it advance the frontiers of game theory and its applications? Tests the idea against GEB's specialist-but-general-interest bar before the paper is built out.

How do I install it?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill geb-topic-selection --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 984 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