What problem does it solve? Creators often force trendy hook templates onto videos without checking whether their material can support them, producing openings that promise results the body never delivers. This Skill inventories your available evidence first, then selects exactly one opening structure that the script body can actually fulfill. ## Core Features & Use Cases - Material Inventory: Audits target audience, deliverable results, proof, comparable contrasts, real objections, and event records before any writing begins. - Conditional Branch Selection: Chooses one of four opening modes—promise-proof-why, strong-weak contrast, objection-response-demo, or event-led—only when its required evidence exists, otherwise downgrades to a plain question or opinion opening. - Fulfillment Check: Traces every claim in the opening to a specific evidence, demonstration, or explanation location in the body, with stop conditions for unverifiable numbers, fabricated enemies, or unauthorized sensitive material. - Use Case: You have a school-promotion video listing facilities. The Skill detects a real customer concern ("students will quit after class"), selects the objection-response branch, and drafts an opening that the demo footage can answer. ## Quick Start Ask the AI to read SKILL.md and WORKFLOW_PROTOCOL.md, then say: help me choose the right opening structure for my video about [topic] given this material: [your notes], and stop to ask if any required evidence is missing.
