What problem does it solve? Teams often create new Agent Skills without checking whether the model already handles the task, whether an existing Skill should be updated or merged instead, or whether the design is grounded in real behavioral evidence. This Skill enforces an evidence-first design process that decides the right intervention before any implementation begins. ## Core Features & Use Cases - Intervention Decision: Compares no durable guidance, local instructions, updating or merging an existing Skill, splitting an overloaded Skill, or creating a new one, based on real task evidence and baselines. - Responsibility and Trigger Design: Defines a coherent responsibility unit, trigger boundary, exclusions, and drafts name and description metadata with negative boundaries to prevent collisions. - Evaluation-First Planning: Maps each material claim to a plausible failure, scenario, and grading method before extensive authoring, and produces an implementation-ready handoff without editing files. - Use Case: When two installed Skills both activate for the same task, use this Skill to decide whether to merge them, keep them split, or rescope, including coexistence risks and evaluation cases. ## Quick Start Ask the agent to decide whether a proposed new Skill is the right intervention and to produce a design with responsibility, trigger boundary, and evaluation plan before any implementation.