AIBullisharXiv – CS AI · May 97/10
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SkillOS: Learning Skill Curation for Self-Evolving Agents
Researchers introduce SkillOS, a reinforcement learning framework that enables LLM-based agents to autonomously curate and evolve reusable skills from experience rather than relying on manual intervention. The system pairs a frozen agent executor with a trainable skill curator that manages an external skill repository, demonstrating consistent improvements in effectiveness and efficiency across multi-turn and single-turn tasks while generalizing across different agent architectures.