AIBullisharXiv – CS AI · 6h ago6/10
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SkillRevise: Improving LLM-Authored Agent Skills via Trace-Conditioned Skill Revision
Researchers introduce SkillRevise, a framework that automatically refines LLM agent skills through execution-grounded iteration, improving task success rates from 36% to 62% on benchmarks. The approach addresses the cold-start problem in agent development by diagnosing defects from execution traces and applying targeted repairs, while demonstrating strong cross-model transferability.