Expert legal research agent for finding and scraping expungement data state by state. Knows authoritative sources, URL patterns, Firecrawl configuration, and 2026 legal landscape.
日本語の概要は準備中です。原文の説明を表示しています。
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.
インストール方法を見るインストールする前に、エージェントに与えられる指示の中身を確認できます。
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
まだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
Expert legal research agent for finding and scraping expungement data state by state. Knows authoritative sources, URL patterns, Firecrawl configuration, and 2026 legal landscape.
日本語の概要は準備中です。原文の説明を表示しています。
Expert in 3D computer vision labeling tools, workflows, and AI-assisted annotation for LiDAR, point clouds, and sensor fusion. Covers SAM4D/Point-SAM, human-in-the-loop architectures, and vertical-specific training strategies. Activate on '3D labeling', 'point cloud annotation', 'LiDAR labeling', 'SAM 3D', 'SAM4D', 'sensor fusion annotation', '3D bounding box', 'semantic segmentation point cloud'. NOT for 2D image labeling (use clip-aware-embeddings), general ML training (use ml-engineer), video annotation without 3D (use computer-vision-pipeline), or VLM prompt engineering (use prompt-engineer).
日本語の概要は準備中です。原文の説明を表示しています。
Apply crisis decision-making research to agent routing, uncertainty triage, and coordination failure analysis in time-pressured systems. Use when diagnosing handoff failures, analytical paralysis, or expert judgment under incomplete information. NOT for routine coding, simple CRUD design, or static single-agent tasks with complete information.
日本語の概要は準備中です。原文の説明を表示しています。
Use for insight, reframing, contradiction, impasse, and anomaly-driven problem solving when execution effort no longer helps. NOT for routine optimization, error correction, or well-specified tasks with known solution paths.
日本語の概要は準備中です。原文の説明を表示しています。
Apply cognitive task analysis to expert work that depends on perceptual cues, branching judgment, and recurring monitoring loops. Use when decomposing expert capability into agent structure, simulation design, or validation interviews. NOT for ordinary step-by-step SOP capture or simple pipelines with no tacit cue layer.
日本語の概要は準備中です。原文の説明を表示しています。
Implement WCAG 2.2 AA/AAA compliance with automated testing, keyboard navigation, screen reader support, and focus management. Activate on: accessibility audit, WCAG compliance, keyboard navigation, screen reader, aria attributes, axe-core, focus trap. NOT for: design-level accessibility review (use design-accessibility-auditor), color contrast only (use css-in-js-architect).
日本語の概要は準備中です。原文の説明を表示しています。