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.
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
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
tools
Building resilient distributed systems with circuit breakers, retries with full-jitter exponential backoff, retry budgets (per-request 3-attempt + per-client 10% ratio per Google SRE), deadline propagation, and the cascading-failure math (4 layers × 3 retries = 64x amplification). Grounded in Resilience4j, Microsoft Cloud Patterns, AWS Architecture Blog (Marc Brooker), and Google SRE Book.
testing
Designing HTTP cache headers that work correctly across browsers, CDNs, and shared proxies — `Cache-Control` directives per RFC 9111, `stale-while-revalidate` and `stale-if-error` per RFC 5861, the Vary header for varying responses, and surrogate keys for tag-based purging. Grounded in IETF RFCs and Cloudflare/Fastly docs.
development
Use when designing or fixing a Content Security Policy on a real site, choosing between nonce-based and hash-based CSP, adding strict-dynamic, debugging "Refused to execute inline script" errors, deploying CSP in report-only mode first, configuring report-to / report-uri, or auditing an existing policy for unsafe-inline / unsafe-eval / wildcards. Triggers: "CSP blocks legitimate inline script", strict-dynamic, nonce-{RANDOM}, sha256-{HASH}, object-src none, base-uri none, frame-ancestors, Trusted Types, X-Content-Security-Policy obsolete, report-only vs enforced. NOT for general HTTP security headers (HSTS, COOP/COEP), Trusted Types deep dive, CORS configuration, or building a WAF.
tools
Choosing and operating an HTTP API versioning strategy that doesn't break clients — Stripe's date-based pinned versions, the Deprecation/Sunset header pair (RFC 9745 + RFC 8594), URI vs header vs media-type approaches, and the version-transformer pattern. Grounded in Stripe's published architecture and IETF RFCs.