SkillProx: Self-Evolving Agent Skills via Proximal Textual Gradient Descent
By Mingxuan Zheng · Paper · cs.AI
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 execution