SkillProx: Self-Evolving Agent Skills via Proximal Textual Gradient Descent
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, failure diagnosis, and trajectory-guided text-space updates. However, existing frameworks lack explicit…
We haven't written up this one. arXiv cs.AI has the full story — the link below goes straight to it.
