소개
The Coequalizers skill provides a formal mathematical framework for identifying and merging redundant behavioral paths within Claude's skill architecture. By leveraging categorical coequalizers and bisimulation techniques, it allows Claude to recognize when distinct sequences of actions result in functionally identical outcomes, streamlining the overall skill graph. This is essential for advanced multi-agent coordination and high-integrity system design where 'GF(3) conservation'—the balancing of generative, ergodic, and validating behaviors—is required to maintain consistent state across distributed computational environments.
