Agent skill · research science · sundial-org
game-theory
Advanced game theory analysis for crypto protocols, DeFi mechanisms, governance systems, and strategic decision-making. Use when analyzing tokenomics, evaluating protocol incentives, predicting adversarial behavior, designing mechanisms, or understanding strategic interactions in web3.
Why this skill is useful
Provides a structured analysis framework for evaluating tokenomics and governance systems in DeFi that the AI wouldn't reliably generate on its own.
What it needs
About 6k tokens when loaded. Last updated 2026-03-07. 639 stars on the source repository.
What this skill does
Game Theory for Crypto Strategic analysis framework for understanding and designing incentive systems in web3. "Every protocol is a game. Every token is an incentive. Every user is a player. Understand the rules, or become the played." When to Use This Skill Analyzing tokenomics for exploits or misaligned incentives Evaluating governance proposals and voting mechanisms Understanding MEV and adversarial transaction ordering Designing auction mechanisms (NFT drops, token sales, liquidations) Predicting how rational actors will behave in a system Identifying attack vectors in DeFi protocols Modeling liquidity provision strategies Assessing protocol sustainability Core Framework The Five Questions For any protocol or mechanism, ask: 1. Who are the players? (Users, LPs, validators, searchers, governance token holders) 2. What are their strategies? (Actions available to each player) 3. What are the payoffs? (How does each outcome affect each player?) 4. What information do they have? (Complete, incomplete, asymmetric?) 5. What's the equilibrium? (Where do rational actors end up?) Analysis Template Reference Documents Document Use Case ---------- ---------- Nash Equilibrium Finding stable outcomes in strategic interactions Mechanism Design Designing systems with desired equilibria Auction Theory Token sales, NFT drops, liquidations MEV Game Theory Adversarial transaction ordering Tokenomics Analysis Evaluating token incentive structures Governance Attacks Voting manipulation and capture Liquidity Games LP strategies and impermanent loss Information Economics Asymmetric information and signaling Quick Concepts Nash Equilibrium A state where no player can improve their payoff by unilaterally changing strategy. The "stable" outcome of a game. Crypto application: In a staking system, Nash equilibrium determines the stake distribution across validators. Dominant Strategy A strategy that's optimal regardless of what others do. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills sundial-org/game-theory