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2000s-visualization-expert

Expert in 2000s-era music visualization (Milkdrop, AVS, Geiss) and modern WebGL implementations. Specializes in Butterchurn integration, Web Audio API AnalyserNode FFT data, GLSL shaders for audio-rea

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Imported from curiositech/some_claude_skills (.claude/skills/2000s-visualization-expert/SKILL.md). Install upstream with npx skills add curiositech/some_claude_skills --skill 2000s-visualization-expert. Copyright stays with the author.

2000s Music Visualization Expert

Expert in recreating the legendary 2000s music visualization era - Milkdrop, AVS, Geiss - using modern WebGL and Web Audio APIs.

When to Use

Use for:

  • Implementing Milkdrop-style psychedelic visualizations
  • Butterchurn library integration (WebGL Milkdrop)
  • Web Audio API AnalyserNode FFT/waveform extraction
  • GLSL fragment shaders for audio-reactive effects
  • Full-screen immersive music experiences
  • Real-time beat detection and audio analysis
  • Preset systems and visualization transitions

NOT for:

  • Simple spectrum bar charts (use Canvas 2D)
  • Static audio waveform displays
  • Video editing or processing
  • Non-audio generative art
  • Audio playback/streaming issues (use audio-engineer skills)

The Golden Era (Summary)

Era Key Software Innovation
1998-2000 Geiss Simple plasma effects, DirectX
2001-2007 Milkdrop 1 & 2 Per-pixel equations, preset system
2007-2015 Decline Streaming services rise
2018-Present Butterchurn WebGL renaissance

Milkdrop's magic: Layering simple effects - blur, zoom, rotation, color shift - with audio-reactive parameters.

→ See references/butterchurn-guide.md for full history and integration.

Core Technologies

Butterchurn (WebGL Milkdrop)

  • 1.7k GitHub stars, MIT licensed
  • Full preset compatibility with original Milkdrop
  • npm: butterchurn, butterchurn-presets
import butterchurn from 'butterchurn';
const visualizer = butterchurn.createVisualizer(audioContext, canvas, {
  width: window.innerWidth,
  height: window.innerHeight,
  pixelRatio: window.devicePixelRatio || 1,
});
visualizer.connectAudio(audioNode);
visualizer.loadPreset(preset, 2.0);  // 2s blend

Web Audio API FFT

const analyser = audioContext.createAnalyser();
analyser.fftSize = 2048;
analyser.smoothingTimeConstant = 0.8;
const frequencyData = new Uint8Array(analyser.frequencyBinCount);
analyser.getByteFrequencyData(frequencyData);

Critical: FFT bins are linear but hearing is logarithmic! Use logarithmic mapping.

→ See references/web-audio-fft.md for frequency band extraction.

GLSL Shaders

Pass audio data as 1D texture, use uniforms for bass/mid/treble:

uniform float u_bass;
float glow = smoothstep(0.5 - u_bass * 0.3, 0.0, dist);

→ See references/glsl-shaders.md for complete patterns.

Anti-Patterns to Avoid

1. Ignoring AudioContext State

What it looks like: Visualization silently fails Why it's wrong: AudioContext starts suspended, needs user interaction Fix: Resume on click: await audioContext.resume()

2. Linear Frequency Display

What it looks like: Bass dominates, treble invisible Why it's wrong: FFT bins are linear; first 100 bins might be 0-2kHz Fix: Use logarithmic bin mapping (code in references)

3. No Smoothing

What it looks like: Jittery, seizure-inducing visuals Why it's wrong: Raw FFT data is noisy frame-to-frame Fix: analyserNode.smoothingTimeConstant = 0.7

4. requestAnimationFrame Without Cleanup

What it looks like: Memory leaks, multiple render loops Fix: Store animation ID, call cancelAnimationFrame on unmount

5. Hardcoded Canvas Size

What it looks like: Blurry on retina, wrong aspect ratio Fix: Multiply by devicePixelRatio, handle resize events

6. Blocking Main Thread

What it looks like: Choppy audio, dropped frames Why it's wrong: Heavy shader compilation on UI thread Fix: Compile shaders during loading, not during playback

Preset Recommendations

Psychedelic/Trippy:

  • Flexi, martin + geiss - dedicated to the sherwin maxawow
  • Rovastar - Fractopia

Smooth/Chill:

  • Flexi - predator-prey-spirals
  • Geiss - Cosmic Strings 2

High Energy:

  • Flexi + Martin - disconnected
  • shifter - tumbling cubes

Integration Checklist

  • AudioContext created and resumed on user interaction
  • AnalyserNode connected to audio source
  • Canvas sized correctly (account for devicePixelRatio)
  • Render loop with requestAnimationFrame
  • Cleanup on unmount (cancelAnimationFrame)
  • Preset loading with blend time
  • Resize handling
  • Full-screen support with ESC to exit
  • Track info overlay (z-index above canvas)
  • Cursor hiding after inactivity

Performance Tips

  1. Lower texture ratio for older GPUs: textureRatio: 0.5
  2. Reduce fftSize if not needed: 512 or 1024 vs 2048
  3. Use will-change: transform on canvas
  4. Avoid DOM updates during render loop
  5. Profile with Chrome DevTools GPU timeline

References

references/butterchurn-guide.md - Complete Butterchurn integration → references/web-audio-fft.md - FFT extraction and frequency analysis → references/glsl-shaders.md - Audio-reactive shader patterns


This skill covers: Butterchurn/Milkdrop | Web Audio FFT | GLSL shaders | Full-screen visualization | Audio-reactive art

Use it

Copy one of these into your project. Installing also returns the manifest and these snippets.

yaml
targets:
  - https://api.opensmartroute.ai/api/v1/registry/curiositech-some-claude-skills-2000s-visualization-expert/manifest   # or paste the manifest below

Manifest

An Open Capability Manifest: the router reads it to know what this does, what it costs and when to pick it.

curiositech-some-claude-skills-2000s-visualization-expert.ocm.jsonjson
{
  "ocm": "1",
  "id": "curiositech-some-claude-skills-2000s-visualization-expert",
  "kind": "skill",
  "name": "2000s-visualization-expert",
  "description": "Expert in 2000s-era music visualization (Milkdrop, AVS, Geiss) and modern WebGL implementations. Specializes in Butterchurn integration, Web Audio API AnalyserNode FFT data, GLSL shaders for audio-reactive visuals, and psychedelic generative art. Activate on \"Milkdrop\", \"music visualization\", \"WebGL visualizer\", \"Butterchurn\", \"audio reactive\", \"FFT visualization\", \"spectrum analyzer\". NOT for simple bar charts/waveforms (use basic canvas), video editing, or non-audio visuals.",
  "publisher": "curiositech",
  "version": "1.0.0",
  "capabilities": {
    "domains": [
      "coding"
    ],
    "tags": [
      "skill-md",
      "audio",
      "webgl",
      "visualization",
      "shaders",
      "music",
      "skills-sh"
    ],
    "languages": [
      "en"
    ]
  },
  "quality_prior": 0.6,
  "examples": [
    "Expert in 2000s-era music visualization (Milkdrop, AVS, Geiss) and modern WebGL implementations. Specializes in Butterchurn integration, Web Audio API AnalyserNode FFT data, GLSL shaders for audio-reactive visuals, and psychedelic generative art. Activate on \"Milkdrop\", \"music visualization\", \"WebGL visualizer\", \"Butterchurn\", \"audio reactive\", \"FFT visualization\", \"spectrum analyzer\". NOT for simple bar charts/waveforms (use basic canvas), video editing, or non-audio visuals."
  ],
  "primary": false,
  "metadata": {
    "source": {
      "provider": "skills.sh",
      "repository": "https://github.com/curiositech/some_claude_skills",
      "path": ".claude/skills/2000s-visualization-expert/SKILL.md",
      "ref": "HEAD",
      "url": "https://github.com/curiositech/some_claude_skills/blob/HEAD/.claude/skills/2000s-visualization-expert/SKILL.md",
      "key": "curiositech/some_claude_skills/.claude/skills/2000s-visualization-expert/SKILL.md"
    },
    "allowed_tools": [
      "Read,Write,Edit,Bash,WebFetch"
    ]
  },
  "instructions": "# 2000s Music Visualization Expert\n\nExpert in recreating the legendary 2000s music visualization era - Milkdrop, AVS, Geiss - using modern WebGL and Web Audio APIs.\n\n## When to Use\n\n✅ **Use for:**\n- Implementing Milkdrop-style psychedelic visualizations\n- Butterchurn library integration (WebGL Milkdrop)\n- Web Audio API AnalyserNode FFT/waveform extraction\n- GLSL fragment shaders for audio-reactive effects\n- Full-screen immersive music experiences\n- Real-time beat detection and audio analysis\n- Preset systems and visualization transitions\n\n❌ **NOT for:**\n- Simple spectrum bar charts (use Canvas",
  "cost": {
    "context_tokens": 1259
  }
}

Fetch it by URL: GET /api/v1/registry/curiositech-some-claude-skills-2000s-visualization-expert/manifest?version=1.0.0

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