What problem does it solve? Building programmatic videos with HyperFrames involves many CLI commands (init, lint, validate, inspect, preview, render, lambda) with subtle flags, gating rules, and failure modes. This Skill gives an AI agent the exact command sequences, conventions, and troubleshooting paths so video projects are scaffolded, checked, and rendered correctly without trial and error. ## Core Features & Use Cases - Full dev-loop orchestration: Scaffold projects with init or capture, then run the correctness pipeline (lint → validate → inspect → snapshot) before previewing in Studio and rendering. - Cloud rendering on AWS Lambda: Deploy a SAM stack and drive distributed renders with lambda deploy / render / progress / destroy, including IAM policy validation and cost tracking. - Environment diagnosis: Use doctor and browser to verify Node.js >= 22, FFmpeg, and the pinned Chrome build when renders or previews fail. - Use Case: An agent scaffolds a product-promo video, lints and validates the composition, captures snapshot frames to verify sub-composition mounting, opens Studio preview for user review, and renders the final MP4 at high quality only after approval. ## Quick Start Ask the agent to scaffold a new HyperFrames video project and run lint, validate, and inspect before opening the Studio preview.
