Tencent/SkillHone

EvoSkill — An open-source framework that automatically discovers and synthesizes reusable agent skills from failed trajectories to improve coding agent performance.

达尔文.skill —— 一个让你的Skill无限进化的系统：评估→改进→测试→保留或回滚 | Autoresearch-inspired autonomous skill optimization for Claude Code. Evaluate, improve, test, keep or revert.

Let Skills Evolve Collectively with Agentic Evolver

SkillOpt-Lite and HarnessOpt: Optimize your skill or harness with one line of vibe

SkillsVote: Lifecycle Governance of Agent Skills from Collection, Recommendation to Evolution

You don't write AGENTS.md. You train it with gradient descent.

🧠 Make your agents learn from experience. Now available as a hosted solution at kayba.ai

The meta-skill that builds and improves all your skills, including itself. Watches your work sessions (autonomous or human-led), captures patterns, corrections and judgement calls, and turns them into skill improvements and new skill candidates for your review. Practical application of the Augmented Expertise methodology. Open source: CC BY 4.0.

Architecture-first skill lifecycle for AI agents. BinEval binary scoring with threshold-blind, cross-family-calibrated judges, gated self-update loop, pressure testing, 10 authoring principles grounded in empirical research.