What problem does it solve? Turning hours of raw recordings into polished short-form videos requires tedious manual cutting, structuring, and reformatting across many tools. This Skill provides a layered pipeline that uses AI for organization and deterministic tools for execution, so long footage becomes publishable content faster. ## Core Features & Use Cases - Structured Editing Pipeline: Six layers from capture (Screen Studio) through organization (Claude/Codex), deterministic cuts (FFmpeg), programmable composition (Remotion), generated assets (ElevenLabs/fal.ai), and final polish (Descript/CapCut). - FFmpeg Automation: Batch cutting from edit decision lists, concatenation, proxy creation, audio normalization, scene detection, and silence-based auto-cutting. - Platform Reframing: Convert footage between 16:9, 9:16, and 1:1 aspect ratios for YouTube, TikTok, Instagram, and X using FFmpeg crops or VideoDB smart reframe. - Use Case: Given a 4-hour recording transcript, identify the 8 strongest segments for a 24-minute vlog, generate FFmpeg cut commands, add Remotion title overlays, and produce a vertical TikTok version. ## Quick Start Ask the assistant to analyze your recording transcript and generate FFmpeg cut commands for the strongest segments of your video.