AI RESEARCH
SkillMaster: Toward Autonomous Skill Mastery in LLM Agents
arXiv CS.AI
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ArXi:2605.08693v1 Announce Type: new Skills provide an effective mechanism for improving LLM agents on complex tasks, yet in existing agent frameworks, their creation, refinement, and selection are typically governed by external teachers, hand-designed rules, or auxiliary modules. As a result, skills remain external resources to be invoked, rather than capabilities that agents can develop, adapt, and internalize through experience. To endow LLM agents with autonomous skill mastery, we propose SkillMaster, a.