self-evolution

Iteratively evolve any measurable artifact (prompt, skill, code, idea, configuration, document, benchmarked experiment) through autonomous mutation-evaluate-gate loops. Supports both GT case suites and autoresearch-style scalar metric loops where a fixed command prints one score. Uses 8-phase iteration, 3-layer evaluation, deterministic keep/discard gates, trace-driven diagnosis, and layered mutation. Trigger on "evolve this", "optimize iteratively", "self-improve", "train this prompt", "iterate on this code", "make this better through iteration", "run evolution loop", "self-evolution", "evolve this skill", "train this skill", "optimize skill quality", "autonomous research", "autoresearch", or whenever the user has a measurable artifact that needs data-driven improvement with automatic keep/revert decisions.

适合你，如果希望用自动化循环持续改进提示词、技能或代码质量。