Agent skill

geb-literature-positioning

Use when positioning a game-theory manuscript against the existing literature for Games and Economic Behavior (GEB) — staking what is new relative to known solution concepts, theorems, mechanisms, and prior experiments. Sharpens the contribution; it is not a standalone survey.

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

# Literature Positioning (geb-literature-positioning) ## When to trigger - The relation to prior game-theory results is vague ("related to a large literature") - You cannot name the two or three papers you most directly generalize or beat - A reviewer might say "this is already known" or "this is just a special case of X" - The paper reads as a survey with a result attached, instead of a result with placement ## The GEB positioning bar GEB is a **specialist** journal, so its referees and Advisory Editors are game-theory experts who know the canonical results cold. Positioning here is sharper than at a general-economics journal: you are not explaining game theory to outsiders, you are convincing insiders that your theorem, mechanism, or experiment is **not implied by what they already know**. Because the chief editor routes your paper to an **anonymous Advisory Editor** (one of ~45) who selects referees, the people judging novelty are likely to include authors of the nearest prior work — position honestly and precisely. GEB also spans **economics, political science, biology, computer science, mathematics, and psychology**, so the "nearest neighbor" to your result may live in a CS/EC

What's inside
Steps it walks through
  1. When to trigger
  2. The GEB positioning bar
  3. How to stake the contribution
  4. Anti-patterns
  5. Positioning 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-literature-positioning skill do?

Use when positioning a game-theory manuscript against the existing literature for Games and Economic Behavior (GEB) — staking what is new relative to known solution concepts, theorems, mechanisms, and prior experiments. Sharpens the contribution; it is not a standalone survey.

How do I install it?

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