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darwin-skill

Autoresearch-inspired autonomous skill optimization for Claude Code

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.

Downloads: 4 This Week

Last Update: 2026-09-18
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