Search Results for "multi-objective optimization"

darwin-skill is an experimental framework designed to automatically improve AI agent “skills” through iterative evaluation and optimization loops inspired by machine learning training processes. Instead of treating prompts or skill definitions as static assets, the system applies a continuous improvement cycle that evaluates performance, proposes changes, tests outcomes, and either retains or reverts modifications. The framework introduces a scoring system across multiple dimensions,...

...It automates development workflows via pre- and post-operation hooks, providing seamless coordination, code formatting, validation, and performance optimization.