Microsoft Research's SkillOpt Proposes a Text-Space Optimizer for Self-Evolving Agent Skills

devFlokers·medium signal

Microsoft Research published SkillOpt, an 'executive strategy' framework that updates an agent's skills as external, text-space state rather than retraining weights. The optimizer iteratively rewrites and improves the agent's skill set based on outcomes, pushing self-improvement into the prompt/skill layer. It's a research-grade complement to the practical skills-packaging trend (e.g., awesome-claude-skills) and relevant to anyone building self-improving harnesses.