ouerf-man

Kinetic Editorial Skill — Development skill for Claude Code

Development community

Claude Code skill: word-by-word kinetic caption reels (9:16) built with HyperFrames + Three.js — storyboard, asset prep, offline SFX, build & preview.

How to install Kinetic Editorial Skill

This entry records only its repository, not the path inside it, so there is no exact command to give. Open ouerf-man/kinetic-editorial-skill and copy the folder into ~/.claude/skills/, or the file into ~/.claude/agents/.

What Kinetic Editorial Skill does

Claude Code skill: word-by-word kinetic caption reels (9:16) built with HyperFrames + Three.js — storyboard, asset prep, offline SFX, build & preview.

Alternatives in Development

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  • iOS Marketing Capture — Automate Multi-Locale asset creation for your iOS app 256 ★

README

kinetic-editorial-reel

A [Claude Code](https://claude.com/claude-code) skill that turns a topic, script or voiceover into a vertical (9:16) **kinetic editorial reel**. Every spoken word appears on screen as it's said, with one red keyword per line and a literal hero object for each phrase. Scenes alternate between warm cream paper and black glow, with slam hits, camera pushes and sound effects. It's built with [HyperFrames](https://hyperframes.heygen.com) and Three.js.

What the skill does

  1. Intake: asks for the topic or message, the voiceover and transcript, the edit speed (calm / standard / rapid), the assets and the sound (SFX only, or with music).
  2. Storyboard: writes a frame-by-frame plan, with an image-generation prompt list if assets are missing. You approve it before anything is built.
  3. Preparation: subagents handle two jobs in parallel:
    • Generate an offline sound-effect pack (scripts/make_sfx.py).
    • Measure anchor points on your images so props land exactly where they should.
    • Meanwhile the main session prepares assets, word timings and fonts:
      • Assets: transparent PNGs are used as-is. Normal images get plain backgrounds removed (scripts/prep_assets.py).
      • Word timings: estimated from the voice's loudness envelope, with no speech-to-text model (scripts/word_timing.py).
  4. Build: one HyperFrames composition with word-by-word captions, a GSAP timeline and Three.js layers where 3D helps. Sound effects are placed automatically (scripts/place_sfx.py).
  5. Verify and preview: lint, snapshots, hyperframes check, then the Studio preview. It renders only when you say so.

Requirements

  • Claude Code
  • The HyperFrames skills: npx hyperframes skills update general-video
  • Node.js (for npx hyperframes), ffmpeg, and Python 3 with numpy, scipy, Pillow: pip install numpy scipy pillow

Install

Clone into a skills folder:

# for one project only
git