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curiositech/windags-skills

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.

¿Qué es windags-skills?

windags-skills is a Cursor agent skill that 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.

Compatible con~Claude Code~Codex CLI✓Cursor
npx skills add https://github.com/curiositech/windags-skills/tree/HEAD/skills/2000s-visualization-expert

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Documentación

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)

EraKey SoftwareInnovation
1998-2000GeissSimple plasma effects, DirectX
2001-2007Milkdrop 1 & 2Per-pixel equations, preset system
2007-2015DeclineStreaming services rise
2018-PresentButterchurnWebGL 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

Individual skills in this repo

This repo contains 20 individual skills — each has its own dedicated page.

curiositech/windags-skills

Expert legal research agent for finding and scraping expungement data state by state. Knows authoritative sources, URL patterns, Firecrawl configuration, and 2026 legal landscape.

curiositech/windags-skills

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).

curiositech/windags-skills

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).

curiositech/windags-skills

Time-blind friendly planning, executive function support, and daily structure for ADHD brains. Specializes in realistic time estimation, dopamine-aware task design, and building systems that actually work for neurodivergent minds.

curiositech/windags-skills

Designs digital experiences for ADHD brains using neuroscience research and UX principles. Expert in reducing cognitive load, time blindness solutions, dopamine-driven engagement, and compassionate design patterns. Activate on 'ADHD design', 'cognitive load', 'accessibility', 'neurodivergent UX', 'time blindness', 'dopamine-driven', 'executive function'. NOT for general accessibility (WCAG only), neurotypical UX design, or simple UI styling without ADHD context.

curiositech/windags-skills

>- 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.

curiositech/windags-skills

Extend and modify the admin dashboard, developer portal, and operations console. Use when adding new admin tabs, metrics, monitoring features, or internal tools. Activates for dashboard development, analytics, user management, and internal tooling.

curiositech/windags-skills

Conversation patterns and interaction protocols for multi-agent systems. Covers request/response, pub/sub, blackboard, delegation chains, debate, critique, consensus, fan-out/fan-in, supervisor-worker, and peer negotiation. Deep analysis of AutoGen conversation patterns, CrewAI delegation, LangGraph state passing, and FIPA-ACL performatives. Teaches how to design what agents say to each other and in what order. Activate on: "agent conversation", "agent protocol", "multi-agent debate", "agent delegation", "supervisor worker pattern", "agent voting", "consensus protocol", "fan-out fan-in", "agent negotiation", "blackboard pattern", "agent dialogue", "conversation topology", "agent handoff". NOT for: wire format or serialization (use agent-interchange-formats), orchestration infrastructure (use agentic-infrastructure-2026), single agent behavior (use agentic-patterns).

curiositech/windags-skills

Meta-agent for creating new custom agents, skills, and MCP integrations. Expert in agent design, MCP development, skill architecture, and rapid prototyping. Activate on 'create agent', 'new skill', 'MCP server', 'custom tool', 'agent design'. NOT for using existing agents (invoke them directly), general coding (use language-specific skills), or infrastructure setup (use deployment-engineer).

curiositech/windags-skills

AI-powered calendar management and agent-based scheduling coordination. Covers calendar APIs (Google Calendar, CalDAV/iCal), AI scheduling assistants (Reclaim, Clockwise, Motion, Cal.com), building custom calendar agents with MCP, multi-calendar merging, timezone management, focus block protection, meeting fatigue detection, and agent-to-agent meeting negotiation protocols. Activate on: "calendar agent", "AI scheduling", "calendar coordination", "meeting scheduling", "calendar API", "focus time protection", "calendar optimization", "Google Calendar MCP", "Reclaim", "Clockwise", "Motion", "Cal.com", "smart scheduling", "calendar-aware agent", "timezone scheduling", "agent negotiation meetings". NOT for: manual calendar UI component design (use form-validation-architect), project management scheduling or Gantt charts (use project-management-guru-adhd), general time-tracking or pomodoro apps (use adhd-daily-planner for time-awareness), building the agent itself from scratch (use agent-creator).

curiositech/windags-skills

Build and adopt production AI agent infrastructure in 2026. Covers framework selection (LangGraph, CrewAI, AutoGen, MCP), orchestration patterns, evaluation, observability, memory systems, and tool use. Also covers the SOCIAL dimension: how to sell agent infrastructure internally, change management, measuring ROI, building trust in autonomous systems, and scaling adoption across teams. Activate on: "agent infrastructure", "agent framework comparison", "which agent framework", "sell AI tools internally", "agent adoption", "agent observability", "agent evaluation", "MCP architecture", "agentic mesh", "enterprise AI agents", "AI change management", "agent ROI". NOT for: building specific agents (use ai-engineer), designing agent behavior patterns (use agentic-patterns), prompt tuning (use prompt-engineer).

curiositech/windags-skills

Fundamental patterns for effective agentic behavior. Teaches decomposition, tool orchestration, error recovery, context management, quality self-assessment, and knowing when to stop. Model-agnostic principles that make any agent more effective regardless of domain. Activate on: "how should I structure this agent", "agentic workflow", "agent patterns", "multi-step task", "tool orchestration", "/agentic-patterns", "decompose this", "agent best practices", "chain of actions", "when should the agent stop", "agent loop design". NOT for: creating agent infrastructure (use agent-creator), building DAGs (use windags-architect), specific tool implementation.

curiositech/windags-skills

Automated discovery and matching of agent skills for dynamic task routing and capability assessment

curiositech/windags-skills

Cryptographic security for agentic systems — zero-trust agent networking, signed message envelopes (JWS/JWE), capability-based security (ocaps), Merkle tree audit trails, WASM sandboxing, and formal verification. Covers CLI dev tool security, mTLS between agents, permission boundaries (least privilege for AI agents), and supply chain security for skills/plugins. Activate on: "agent security", "zero trust agents", "secure agent communication", "capability-based security", "ocap", "signed messages between agents", "agent audit trail", "sandbox agent execution", "agent permissions", "mTLS agents", "cryptographic verification", "agent supply chain", "OWASP agentic", "prove agent did X", "tamper-proof agent logs". NOT for: application-level SAST scanning (use security-auditor), network firewall rules (use infrastructure), SOC2/HIPAA compliance (organizational), or prompt injection defense (use prompt-engineer).

curiositech/windags-skills

Data structures and serialization formats for agent-to-agent communication. Covers message envelopes, structured output schemas, capability declarations, task handoff payloads, error/retry signaling, and context windows as data structures. Deep comparison of A2A protocol, MCP, OpenAI function calling, and LangChain message types. Teaches when to use rigid schemas vs free-form with validation, typed vs untyped, streaming vs batch. Activate on: "agent message format", "agent communication schema", "agent-to-agent protocol", "A2A protocol", "MCP message format", "structured output for agents", "agent interop", "interchange format", "agent serialization", "task handoff format", "capability declaration". NOT for: what agents say to each other (use agent-conversation-protocols), orchestration topology (use multi-agent-coordination), building agent infrastructure (use agentic-infrastructure-2026).

curiositech/windags-skills

Logic-based agent programming language implementing BDI architecture for practical autonomous agent development

curiositech/windags-skills

>- Design AgentSpeak(L)-style BDI agents with context-guarded plans, selection functions, and intention stacks. Use for interruptible autonomy, agent policy, and multi-agent orchestration in dynamic environments. NOT for simple rule engines, static planners, or centralized workflows.

curiositech/windags-skills

Foundational concurrent computation model where actors communicate exclusively through asynchronous message passing

curiositech/windags-skills

Build production-ready LLM applications, advanced RAG systems, and intelligent agents. Implements vector search, multimodal AI, agent orchestration, and enterprise AI integrations. Use PROACTIVELY for LLM features, chatbots, AI agents, or AI-powered applications.

curiositech/windags-skills

license: Apache-2.0 NOT for unrelated tasks outside this domain.

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