What problem does it solve? Creators struggle to systematically turn existing videos into new short-form content: picking which moments of a long video deserve to become shorts, and figuring out why a viral video worked so its formula can be reused without copying it. This Skill provides the decision framework for both directions. ## Core Features & Use Cases - Long-to-Short Selection (Direction A): Scores 8-12 candidate segments from a word-level transcript on five weighted dimensions (hook strength, standalone coherence, emotional intensity, value density, payoff quality), requires human approval before rendering, snaps cut boundaries to sentence and silence points, and decides vertical reframing strategy per content type. - Viral Breakdown & Formula Migration (Direction B): Deconstructs viral videos into a four-part evidence package (source keyframes, speaker-attributed transcript, hook/beat analysis, comment resonance), extracts the transferable emotion formula as state-mechanism-state chains, and writes a content_anchor that migrates the formula to a new topic without copying surface content. - Use Case: Given a 40-minute podcast episode, transcribe it, score candidate 15-55 second clips, present them in a table for approval, snap boundaries to natural pauses, and produce a vertical reframe plan for each approved segment. ## Quick Start Analyze this long video and select the strongest segments to turn into vertical short clips, then wait for my approval before rendering.
