SkillDAG: Self-Evolving Typed Skill Graphs for LLM Skill Selection at Scale 事件

SkillDAG: Self-Evolving Typed Skill Graphs for LLM Skill Selection at Scale arXiv:2606.03056v1 Announce Type: new Abstract: As LLM agents adopt large skill libraries, selecting the right subset becomes a structural problem rather than a similarity-matching one: skills depend on, conflict with, specialize, or duplicate one another, a structure invisible to both full enumeration and embedding similarity. We present SkillDAG, which models inter-skill relationships as a typed directed graph and exp