The key idea: SkillOpt does not make the deployed agent larger. It trains a reusable external skill artifact offline, then ships only the improved procedure. That is a very different adaptation layer than fine-tuning, prompting, or adding more inference-time calls.

→ View original post on X — @montreal_ai