Darwin Skill 2.0: autonomous evaluator and optimizer for Agent SKILL.md workflows
-
Updated
Jun 2, 2026 - HTML
Darwin Skill 2.0: autonomous evaluator and optimizer for Agent SKILL.md workflows
EvoSkillOpt — When SkillOpt Meets Evolutionary Game Theory (EGT) and Reinforcement Learning (GRPO)
Systematic methodology for optimizing agent skills using deep-learning-style approach. Based on arXiv:2605.23904
Bilingual SkillOpt-inspired Codex skill writer for SKILL.md creation, validation gates, bounded edits, and agent skill optimization
Self-improving memory for coding agents.
Codex plugin for freebuff2api with a SkillOpt self-improvement loop
Optimize local AI agent workflows and system prompts using an iterative evaluate-and-refine process while keeping your model weights frozen.
Add a description, image, and links to the skillopt topic page so that developers can more easily learn about it.
To associate your repository with the skillopt topic, visit your repo's landing page and select "manage topics."