What problem does it solve? Building programmatic videos with HyperFrames involves many CLI commands (init, lint, validate, inspect, preview, render, lambda) with non-obvious ordering, flags, and failure modes. This Skill gives an AI agent the exact workflow, conventions, and troubleshooting references so it runs the right command at the right time and avoids common pitfalls like rendering before user review or misconfiguring 4K output. ## Core Features & Use Cases - Full dev-loop guidance: Scaffold projects with init or capture, then run the correctness pipeline (lint → validate → inspect → snapshot) before previewing in Studio and rendering. - Agent-safe conventions: Rules for --json output, non-TTY detection, doctor gating on the ok field, user-gated rendering, and post-render output verification. - AWS Lambda cloud rendering: Deploy, render, monitor, and tear down distributed rendering stacks for long videos, 4K output, or large parallel batches. - Use Case: An agent scaffolds a product-promo video, lints and validates the composition, captures snapshot frames to verify sub-compositions mount correctly, opens Studio preview for the user, and only renders the final MP4 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.
