Darwin Skill 2.0: autonomous evaluator and optimizer for Agent SKILL.md workflows
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Updated
Jun 2, 2026 - HTML
Darwin Skill 2.0: autonomous evaluator and optimizer for Agent SKILL.md workflows
A Codex skill that researches and learns unfamiliar domains before building.
Obsidian + Hermes agent intelligence economy kit: clippings harvest, skill optimization, token efficiency, verification, loop scoring.
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
EvoSkillOpt — When SkillOpt Meets Evolutionary Game Theory (EGT) and Reinforcement Learning (GRPO)
A Claude Code skill that researches and learns unfamiliar domains before implementation.
Self-improving memory for coding agents.
Codex plugin for freebuff2api with a SkillOpt self-improvement loop
Train agent skills like neural networks — with epochs, batch size, learning rates, and validation gates — without touching model weights. Based on Microsoft SkillOpt.
Optimize local AI agent workflows and system prompts using an iterative evaluate-and-refine process while keeping your model weights frozen.
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