AI RESEARCH
SKILL0: In-Context Agentic Reinforcement Learning for Skill Internalization
arXiv CS.LG
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ArXi:2604.02268v1 Announce Type: new Agent skills, structured packages of procedural knowledge and executable resources that agents dynamically load at inference time, have become a reliable mechanism for augmenting LLM agents. Yet inference-time skill augmentation is fundamentally limited: retrieval noise