SkillOpt: Agent skills as trainable parameters

SkillOpt treats agent skill files as trainable parameters outside frozen models, achieving best or tied-best performance in all 52 evaluation cells across six benchmarks and seven models without updating weights. The method keeps skills compact through bounded edits and validation gating, avoiding prompt drift. Optimized skills transfer across model scales and tasks.