关于
Skill Evolution provides a framework for managing a 'living' repository of AI capabilities by applying evolutionary pressure and rigorous fitness metrics. It allows developers to maintain a high-performing ecosystem of skills through automated mutation, selection based on usage data, and cross-platform validation. By measuring token efficiency, activation rates, and GF(3) compositional coherence, it ensures that only the most effective, concise, and compatible patterns survive across successive agent generations.
