How does this skill use Markov Blankets?

It uses Markov Blankets to define the boundary between an agent's internal model and the external world, determining whether to update beliefs (perceptual inference) or change the world (active inference).

Which programming languages are supported for implementation?

The skill provides ready-to-use implementation patterns and code snippets for Babashka (Clojure), Julia, and DuckDB SQL.

What is the connection to Paradigm's Multiverse Finance?

This skill implements Multiverse Finance logic to manage assets across parallel probability 'verses,' allowing for value extraction upon verse resolution and risk-free borrowing within specific outcomes.

Can this skill be used for network optimization?

Yes, it calculates spectral gaps and Ramanujan expander properties to bound the Price of Anarchy in network routing, influence propagation, and information flow.

What is World Extractable Value (WEV)?

WEV is a metric that quantifies the inefficiency in a system by measuring the gap between selfish equilibrium (Nash) and the socially optimal state, often expressed as PoA - 1.

World Extractable Value (WEV)

Name: World Extractable Value (WEV)
Author: plurigrid

byplurigrid

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데이터 과학 및 ML

Quantifies and extracts economic value from coordination inefficiencies and world transitions using Markov blanket arbitrage and Multiverse Finance.

The World Extractable Value (WEV) skill is a specialized tool for Claude Code designed to analyze and exploit the gap between Nash equilibria and optimal system states. By integrating Tim Roughgarden’s Price of Anarchy with Karl Friston’s Free Energy Principle and Paradigm’s Multiverse Finance thesis, this skill enables developers to model parallel financial outcomes ('verses'), compute spectral gaps in networks, and implement active inference strategies. It is particularly useful for building decentralized coordination mechanisms, optimizing network routing, and managing risk in complex, multi-state financial environments through topological modeling.

주요 기능

01Maps coordination mechanisms like Correlated Equilibrium and Stackelberg games to WEV reduction

02Provides standardized DuckDB schemas and Babashka/Julia snippets for WEV tracking

03Integrates Paradigm’s Multiverse Finance for parallel universe asset management

04Calculates Price of Anarchy (PoA) and spectral gaps for d-regular Ramanujan expanders

052 GitHub stars

06Implements Markov Blanket logic to automate perceptual vs. active inference decisions

사용 사례

01Designing algorithmic game theory mechanisms that minimize coordination waste in DAOs

02Modeling complex financial insurance and liquidity protocols using Multiverse Finance verses

03Optimizing network topology for maximal information propagation and minimal surprise

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add plurigrid/asi world-extractable-value

For use in Claude.ai and ChatGPT

Download Skill