arXiv cs.CL
· Papers
SkillProx: Self-Evolving Agent Skills via Proximal Textual Gradient Descent
arXiv:2608.07449v1 Announce Type: cross Abstract: LLM agents increasingly adapt to recurring tasks by accumulating procedural knowledge in skills. These skills are lightweight, reusable textual artifacts that are loaded into the agent's context without weight updates. Recent methods refine skills through iterative task