소개
Multiversal Finance is a specialized Claude Code skill that enables the creation and management of prediction markets for 'interesting' observations within generative environments. By leveraging Schmidhuber’s curiosity-driven learning principles, the skill measures the value of an observation through compression progress (ΔC)—rewarding agents who successfully predict patterns that reveal new structural information. It utilizes algebraic schemas (ACSets) and ternary logic (GF(3)) to ensure a balanced, deterministic settlement layer across multiple world seeds, making it ideal for autonomous agent ecosystems and topological data analysis.
