#artificial intelligence
May 2026
SkillRevise: Improving LLM-Authored Agent Skills via Trace-Conditioned Skill Revision
Evaluated across three main benchmarks, two domain-specific studies, and six LLMs, SkillRevise substantially outperforms one-shot baselines, and the revised skills transfer across both executors and task environments, suggesting that SkillRevise captures reusable procedural knowledge beyond any single executor.
Yuxuan Liu, Zhao-Chen Su, Lin Xie et al.
· arXiv.org · 17 citations