What problem does it solve? Turning a vague request like "make me a video" into a finished, rendered video requires choosing the right production workflow, gathering the right inputs, and coordinating many moving parts. This Skill acts as the entry point that inspects project state, captures intent through a structured interview, and routes each request to the correct HyperFrames workflow. ## Core Features & Use Cases - State-aware routing: Detects whether a request is a fresh creation, an edit, a project operation (validate, preview, render, publish), or a Remotion port, and resumes from BRIEF.md or project files when they exist. - Intent interview and pitch round: Converts unformed requests into a confirmed BRIEF.md through memory lookups, recipe adoption, five-concept pitch sampling, and run-shape questions (storyboard, automation vs companion). - Workflow and domain skill orchestration: Routes to ten workflows (product-launch-video, faceless-explainer, pr-to-video, music-to-video, motion-graphics, slideshow, embedded-captions, talking-head-recut, remotion-to-hyperframes, general-video) and lazy-installs them plus domain skills via the HyperFrames CLI. - Use Case: A user says "turn this GitHub PR into a changelog video." The Skill routes to pr-to-video, reads the PR size with gh to recommend a length, confirms angle and audience, writes BRIEF.md, installs the workflow, and hands off execution. ## Quick Start Ask the assistant to create a video from your website URL, GitHub PR, music track, or footage, and it will route the request to the right HyperFrames workflow.