Expert legal research agent for finding and scraping expungement data state by state. Knows authoritative sources, URL patterns, Firecrawl configuration, and 2026 legal landscape.
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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.
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설치 방법 보기설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.
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
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Expert legal research agent for finding and scraping expungement data state by state. Knows authoritative sources, URL patterns, Firecrawl configuration, and 2026 legal landscape.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
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).
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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.
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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.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Apply normative BDI reasoning to agents that must detect norms, choose which commitments to internalize, and resolve conflicts by comparing consequences. Use when obligations, prohibitions, or policies collide in autonomous systems. NOT for simple fixed-priority rules, pure constraint satisfaction, or domains where no real normative conflict exists.
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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.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.