SkillOS: Learning Skill Curation for Self-Evolving Agents

ArXiv ID: 2605.06614

Summary: SkillOS addresses the limitations of heuristic-based skill management. By treating skill curation (discovery, pruning, and optimization) as a reinforcement learning problem, it enables agents to learn complex, long-term policies for maintaining their skill libraries. The system optimizes for the "later utility" of a skill across a stream of diverse tasks.


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