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.
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.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# 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
- When to trigger
- The GEB positioning bar
- How to stake the contribution
- Anti-patterns
- Positioning pass for Games and Economic Behavior
- Output format
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.