YAO is a skill engineering and evaluation framework for AI agents. It transforms rough workflows, prompts, and runbooks into reusable skill packages with clear trigger surfaces, optional evals, and governance controls. The system includes an intent confidence gate for clarifying ambiguous tasks, a GitHub benchmark scan that surfaces conflicts with top repositories, and HTML visualization tools for skill overview and human review.