概要
This active diagnostic tool provides a comprehensive framework for evaluating skill prompts, identifying critical issues like vague descriptions or overlapping triggers that prevent skills from working as intended. It offers actionable suggestions to minimize token waste—such as removing over-politeness, redundant prose, and bloated structures—and detects failures in clarity or logic that hinder performance. By applying rigorous checks across dimensions like trigger patterns, token efficiency, and example quality, it helps developers refine their skills for better reliability, lower costs, and professional-grade implementation.
