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SkillRefiner reportedly improves AI agent skills without new rollouts
An alphaXiv post says the method turns past mistakes into targeted skill edits and checks evidence to avoid drawing the wrong lesson.
TLDR
An alphaXiv post describes SkillRefiner as a method for refining an agent’s existing skill using historical traces rather than new rollouts. It says repeated successes are reinforced and repeated failures become guardrails, with an evidence check to avoid wrong lessons. The post reports that SkillRefiner improved the original skill in all eight settings, using 1.4–13x fewer refinement tokens than Trace2Skill and 2.4–42x fewer than GEPA.
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