Building a skill optimization loop

An automated feedback loop can be created for an AI agent to optimize its own "Skills." This process uses an "observer" skill to automatically grade how well an "inner" skill performs on a given task. Using the example of a skill that replatforms websites, the observer runs the skill, builds the new site, and examines it for visual and behavioral differences compared to the original. The observer then synthesizes these results, identifies failure patterns, and creates a code diff to update and improve the inner skill for future use. This iterative improvement loop is facilitated by an orchestration platform that can manage multiple agents and interact with a computer's desktop environment.