SkillOpt: Agent skills as trainable parameters

The post explains that AI agents often underperform when their instructions or skills are manually tweaked without assurance of improvement. SkillOpt turns skill editing into a training process, enabling more reliable agent behavior without altering the underlying model weights.

Summary written by Kernelia from the original article by Microsoft Research. The story and its rights belong to its author.