skills/2000s-visualization-expert/SKILL.md
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.
npx skillsauth add curiositech/windags-skills 2000s-visualization-expertInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Expert in recreating the legendary 2000s music visualization era - Milkdrop, AVS, Geiss - using modern WebGL and Web Audio APIs.
✅ Use for:
❌ NOT for:
| 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.
butterchurn, butterchurn-presetsimport 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
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.
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.
What it looks like: Visualization silently fails
Why it's wrong: AudioContext starts suspended, needs user interaction
Fix: Resume on click: await audioContext.resume()
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)
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
What it looks like: Memory leaks, multiple render loops
Fix: Store animation ID, call cancelAnimationFrame on unmount
What it looks like: Blurry on retina, wrong aspect ratio
Fix: Multiply by devicePixelRatio, handle resize events
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
Psychedelic/Trippy:
Flexi, martin + geiss - dedicated to the sherwin maxawowRovastar - FractopiaSmooth/Chill:
Flexi - predator-prey-spiralsGeiss - Cosmic Strings 2High Energy:
Flexi + Martin - disconnectedshifter - tumbling cubestextureRatio: 0.5will-change: transform on canvas→ 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
data-ai
license: Apache-2.0 NOT for unrelated tasks outside this domain.
development
Use when designing caching strategies (cache-aside, write-through, write-behind), implementing distributed locks, building rate limiters, leaderboards, real-time streams (XADD/consumer groups), pub/sub, or tuning eviction policies. Triggers: thundering-herd on cache miss, dogpile on key expiry, Redlock vs SET-NX-PX choice, sliding-window rate limiter, hot-key on a single cluster slot, big-key blowup, MULTI/EXEC across slots, KEYS in production. NOT for Redis Cluster operations/admin (different domain), embedded KV (SQLite, leveldb), in-process LRU caches, or Memcached.
tools
Drawing the `'use client'` boundary correctly in React Server Components apps (Next.js App Router, RSC frameworks) — leaf-pushing, slot composition, serialization rules, and environment poisoning prevention. Grounded in react.dev and Next.js 16 docs.
development
Use when designing rate limiting for an API, choosing between token bucket / sliding window / leaky bucket / fixed window, implementing it in Redis, deciding edge (Cloudflare/Upstash) vs origin enforcement, sizing per-user vs per-IP vs per-endpoint quotas, returning the right 429 response with Retry-After, or fixing the boundary-burst bug in fixed-window limiters. Triggers: 429 too many requests, INCR + EXPIRE, ZADD + ZREMRANGEBYSCORE + ZCARD, X-RateLimit-Remaining header, Cloudflare WAF rate limiting rules, Upstash @upstash/ratelimit, leaky bucket shaping vs policing, distributed rate limiter consistency. NOT for DDoS mitigation specifically (different scale), CAPTCHA / bot management, full WAF design, or per-user quota billing.