game-theoretic-analysis
OfficialModel incentives to predict and fix outcomes.
Product & Management#multi-agent systems#game theory#negotiation#incentive design#mechanism design#equilibrium analysis
AuthorAndurilCode
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill helps you diagnose why multiple actors behave strategically and why “rational” local incentives create bad system-level outcomes.
Core Features & Use Cases
- Game definition: Identify players, strategies, payoffs, information, and timing to make the strategic interaction explicit.
- Equilibrium & diagnosis: Classify the game and compare Nash equilibrium vs Pareto optimal outcomes to spot structural misdesign (social dilemmas).
- Mechanism design: Recommend incentive-compatible rule changes (payoffs, information visibility, timing, enforcement, or removing the game).
Quick Start
Use this skill to analyze a failing multi-agent negotiation by asking it to map the players, incentives, and likely equilibria and then propose mechanism-design changes that align self-interest with the system goal.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: game-theoretic-analysis Download link: https://github.com/AndurilCode/craftwork/archive/main.zip#game-theoretic-analysis Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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