An AI skill that provides design intelligence for building professional UI/UX across multiple platforms.
Hyperframes Motion Reel Skill
Claude Code skill for showreel-grade, beat-synced motion graphics with HyperFrames (HTML + GSAP + SVG + Canvas, Apache-2.0) — 120 BPM / 60 FPS to MP4
Install
git clone https://github.com/Sunwood-ai-labs/hyperframes-motion-reel-skillInstall command taken from the project's README or registry entry. Always review code before running it.
README excerpt
Read full README on GitHub →HyperFrames Motion Reel Skill Showreel-grade motion graphics, written as code. A Claude Code skill that turns a one-line theme into a beat-synced, render-ready HyperFrames video.
hyperframes-motion-reel directs Claude Code to act as a senior motion designer and creative coder. From a short theme (plus optional images or voice), it expands a world, copy, design system, beat-by-beat timeline and generated score — then implements, checks, snapshots and renders an MP4 with HyperFrames.
It is the HyperFrames port of remotion-motion-reel: same creative bar, but built only from Apache-2.0 / free tooling, so no Remotion Company License is needed for commercial work at any company size.
✨ Features
- Showreel creative direction — bold typography, fast transitions, depth, parallax, particles and camera moves; plain fade-in chains are banned
- Beat-locked timing — every cut and impact is written as
b(n)on a 120 BPM / 60 FPS grid (1 beat = 0.5 s = 30 frames) - Two-layer animation architecture — one paused GSAP timeline for choreography + a pure
render(t)function for generative Canvas/SVG layers (seek-safe) - Code-generated sound — kick, hi-hat, impact, rise and sub bass written as WAV with Node.js built-ins only, driven by the same beat table as the picture
- Morphing transitions — shapes carry over between scenes (type → line → graph → 3D grid → tunnel → logo) instead of cross-fades
- Deterministic rendering — seeded PRNG, no
Date.now()/Math.random(), stable across parallel render workers - Full verification loop —
lint→check(0 findings) →snapshotreview →render→ffprobe/ffmpegframe spot-checks
🚀 Quick Start
1. Install the skill
git clone https://github.com/Sunwood-ai-labs/hyperframes-motion-reel-skill ~/.claude/skills/hyperframes-motion-reel
On Windows (PowerShell):
git clone https://github.com/Sunwood-ai-labs/hyperframes-motion-reel-skill "$env:USERPROFILE\.claude\skills\hyperframes-motion-reel"
The skill loads the HyperFrames domain skills (/hyperframes-core, /hyperframes-animation, /hyperframes-keyframes, /hyperframes-creative, /hyperframes-registry, /hyperframes-cli, /hyperframes-audio) during the build, so install those alongside it.
2. Requirements
- Node.js (current LTS) and
npx - Google Chrome (used by the HyperFrames renderer)
ffmpeg/ffprobeonPATHfor final verification
3. Run it
/hyperframes-motion-reel Neon Tokyo night drive, 20 seconds, BPM 128
/hyperframes-motion-reel Product launch teaser for an AI camera, vertical 9:16
/hyperframes-motion-reel ./assets/character.png ./assets/voice.wav character intro reel
Durations, BPM, resolution, aspect ratio and assets given in the prompt override the defaults.
⚙️ Default Parameters
| Parameter | Default | Notes |
|---|---|---|
| Duration | 15 s | Snaps to the beat grid; follows voice length when voice is supplied |
| FPS | 60 | npx hyperframes render --fps 60 |
| BPM | 120 | 1 beat = 0.5 s = 30 frames |
| Size | 1920 × 1080 | 1080 × 1920 for vertical, 1080 × 1080 for square |
| Output | MP4 / H.264 | draft and delivery quality presets |
🧭 Workflow
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