* refactor(skills): consolidate 15 skills into 3 for better trigger reliability Merge 9 GSAP skills (core, timeline, scrolltrigger, plugins, utils, react, frameworks, performance, effects) and 6 HyperFrames skills (compose, captions, tts, audio-reactive, marker-highlight, cli) into 3 consolidated skills: - `gsap` — core API + timelines + performance in SKILL.md; scrolltrigger, plugins, utils, react, frameworks, effects in references/ - `hyperframes` — composition authoring rules in SKILL.md; captions, tts, audio-reactive, marker-highlight in references/ - `hyperframes-cli` — CLI commands (init, lint, preview, render, etc.) Why: With 15 separate skills, agents must correctly trigger the right subset for any task. "Create an animated video with captions" needed 6+ skills to fire — each with ~90% trigger accuracy means ~53% chance of getting all of them. With 3 skills, that same task needs just `hyperframes` + `gsap` (~90% both fire). Progressive disclosure still works via references/ files loaded on demand. Also fixes: CLAUDE.md referenced `window.__GSAP_TIMELINE` (incorrect) — corrected to `window.__timelines`. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * feat(cli): add --skip-skills flag to init command Allow skipping the AI coding skills installation prompt during `hyperframes init` with `--skip-skills`. Useful when skills are already installed or when the user wants to scaffold without them. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * fix(skills): address code review feedback on consolidation Restore content lost during over-compression: - captions: fix overflow to `visible` (not hidden — clips glow effects), add container pattern warning, scale headroom formula, and self-lint placement guidance - audio-reactive: restore sampling frequency pattern (per-frame tl.call loop vs single tween) and textShadow-on-container gotcha - effects/typewriter: restore word rotation, appending words, spacing with static text, and multi-line cursor handoff patterns - effects/audio-visualizer: restore spatial mapping conventions, fetch vs inline loading, WebGL/DOM rendering approaches, and canvas layering - hyperframes-cli: restore --strict-all flag in render flags table Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * fix(cli): update build:copy and template for consolidated skill names - build:copy: reference skills/hyperframes, skills/hyperframes-cli, skills/gsap instead of the old 15 skill directory names - _shared/CLAUDE.md template: update skill table to consolidated names Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> --------- Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
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Audio-Reactive Animation
Drive visuals from music, voice, or sound. Any GSAP-animatable property can respond to pre-extracted audio data.
Audio Data Format
var AUDIO_DATA = {
fps: 30,
totalFrames: 900,
frames: [{ bands: [0.82, 0.45, 0.31, ...] }, ...]
};
frames[i].bands[]— frequency band amplitudes, 0-1. Index 0 = bass, higher = treble.- Each band normalized independently across the full track.
Mapping Audio to Visuals
| Audio signal | Visual property | Effect |
|---|---|---|
| Bass (bands[0]) | scale |
Pulse on beat |
| Treble (bands[12-14]) | textShadow, boxShadow |
Glow intensity |
| Overall amplitude | opacity, y, backgroundColor |
Breathe, lift, color shift |
| Mid-range (bands[4-8]) | borderRadius, width |
Shape morphing |
Any GSAP-tweenable property works — clipPath, filter, SVG attributes, CSS custom properties.
Content, Not Medium
Audio provides timing and intensity. The visual vocabulary comes from the narrative.
Never add: equalizer bars, spectrum analyzers, waveform displays, musical notes clip art, generic particle systems, rainbow color cycling, strobing white on beats, abstract pulsing orbs.
Instead: Let content guide the visual and audio drive its behavior. Bass makes warmth swell. Treble sharpens contrast. The visual choice comes from "what does this piece feel like?"
Sampling Pattern
Audio reactivity requires per-frame sampling via a for loop with tl.call(), not a single tween:
// ✅ Correct — sample every frame
for (var f = 0; f < AUDIO_DATA.totalFrames; f++) {
tl.call(
(function (frame) {
return function () {
draw(frame);
};
})(AUDIO_DATA.frames[f]),
[],
f / AUDIO_DATA.fps,
);
}
// ❌ Wrong — single tween, doesn't react to audio
gsap.to(".el", { scale: 1.2, duration: totalDuration });
Without per-frame sampling, the composition doesn't actually react to audio.
textShadow Gotcha
textShadow on a parent container with semi-transparent children (e.g., inactive caption words at rgba(255,255,255,0.3)) renders a visible glow rectangle behind all children. Fix: apply scale to the container for beat pulse, but apply textShadow to individual active words only.
Guidelines
- Subtlety for text — 3-6% scale variation, soft glow. Heavy pulsing makes text unreadable.
- Go bigger on non-text — backgrounds and shapes can handle 10-30% swings.
- Match the energy — corporate = subtle; music video = dramatic.
- Deterministic — pre-extracted data, no Web Audio API, no runtime analysis.
Constraints
- All audio data must be pre-extracted (use
extract-audio-data.pyfrom the gsap skill's scripts/) - No
Math.random()orDate.now() - Audio reactivity runs on the same GSAP timeline as everything else