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Experto en Visualización Musical de los 2000s

Experto en visualización musical de los años 2000 (Milkdrop, AVS, Geiss) e implementaciones modernas en WebGL. Se especializa en integración con Butterchurn, datos FFT del AnalyserNode de Web Audio API, shaders GLSL para visuales reactivos al audio y arte generativo psicodélico.

¿Qué es Experto en Visualización Musical de los 2000s?

Este skill capacita a agentes de IA para recrear la legendaria era de visualización musical de los 2000s utilizando tecnologías web modernas. Cubre la integración con la librería Butterchurn (un clon de Milkdrop en WebGL), la extracción de datos FFT y de forma de onda mediante la Web Audio API, y la escritura de shaders GLSL para efectos visuales reactivos al audio. Es útil para desarrolladores que deseen implementar visualizaciones psicodélicas inmersivas, sistemas de transición entre preajustes y detección de ritmo en tiempo real, evitando errores comunes como el ignorar el estado del AudioContext o la representación lineal de frecuencias. El skill proporciona ejemplos de código, listas de verificación de integración y recomendaciones de preajustes para Butterchurn.

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

¿Qué hace Experto en Visualización Musical de los 2000s?

Experto en recrear la legendaria era de visualización musical de los 2000s - Milkdrop, AVS, Geiss - utilizando WebGL y Web Audio APIs modernas.

Cuándo Usarlo

✅ Úsalo para:

  • Implementar visualizaciones psicodélicas al estilo Milkdrop
  • Integración de la librería Butterchurn (Milkdrop en WebGL)
  • Extracción de FFT/formas de onda del AnalyserNode de Web Audio API
  • Shaders GLSL de fragmentos para efectos reactivos al audio
  • Experiencias musicales inmersivas en pantalla completa
  • Detección de ritmo y análisis de audio en tiempo real
  • Sistemas de preajustes y transiciones de visualización

❌ NO para:

  • Gráficos de barras de espectro simples (usa Canvas 2D)
  • Visualizaciones estáticas de formas de onda
  • Edición o procesamiento de video
  • Arte generativo no basado en audio
  • Problemas de reproducción/streaming de audio (usa habilidades de ingeniero de audio)

La Era Dorada (Resumen)

ÉpocaSoftware ClaveInnovación
1998-2000GeissEfectos de plasma simples, DirectX
2001-2007Milkdrop 1 y 2Ecuaciones por píxel, sistema de preajustes
2007-2015DecliveAuge de servicios de streaming
2018-PresenteButterchurnRenacimiento en WebGL

La magia de Milkdrop: Superponer efectos simples - desenfoque, zoom, rotación, cambio de color - con parámetros reactivos al audio.

→ Consulta references/butterchurn-guide.md para la historia completa e integración.

Tecnologías Clave

Butterchurn (Milkdrop en WebGL)

  • 1.7k estrellas en GitHub, licencia MIT
  • Compatibilidad total con preajustes del Milkdrop original
  • 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 de transición

FFT de Web Audio API

const analyser = audioContext.createAnalyser();
analyser.fftSize = 2048;
analyser.smoothingTimeConstant = 0.8;
const frequencyData = new Uint8Array(analyser.frequencyBinCount);
analyser.getByteFrequencyData(frequencyData);

Crítico: ¡Los bins FFT son lineales pero la audición es logarítmica! Usa mapeo logarítmico.

→ Consulta references/web-audio-fft.md para la extracción de bandas de frecuencia.

Shaders GLSL

Pasa los datos de audio como textura 1D, usa uniforms para graves/medios/agudos:

uniform float u_bass;
float glow = smoothstep(0.5 - u_bass * 0.3, 0.0, dist);

→ Consulta references/glsl-shaders.md para patrones completos.

Anti-Patrones a Evitar

1. Ignorar el Estado del AudioContext

Cómo se ve: La visualización falla silenciosamente Por qué está mal: AudioContext comienza suspendido, necesita interacción del usuario Solución: Reanudar al hacer clic: await audioContext.resume()

2. Visualización Lineal de Frecuencias

Cómo se ve: Los graves dominan, los agudos son invisibles Por qué está mal: Los bins FFT son lineales; los primeros 100 bins pueden ser 0-2kHz Solución: Usar mapeo logarítmico de bins (código en referencias)

3. Sin Suavizado

Cómo se ve: Visuales nerviosos y que inducen convulsiones Por qué está mal: Los datos FFT brutos son ruidosos entre fotogramas Solución: analyserNode.smoothingTimeConstant = 0.7

4. requestAnimationFrame Sin Limpieza

Cómo se ve: Fugas de memoria, múltiples bucles de renderizado Solución: Almacenar el ID de animación, llamar a cancelAnimationFrame al desmontar

5. Tamaño de Lienzo Hardcodeado

Cómo se ve: Borroso en retina, relación de aspecto incorrecta Solución: Multiplicar por devicePixelRatio, manejar eventos de redimensionamiento

6. Bloquear el Hilo Principal

Cómo se ve: Audio entrecortado, fotogramas perdidos Por qué está mal: Compilación pesada de shaders en el hilo de la UI Solución: Compilar shaders durante la carga, no durante la reproducción

Recomendaciones de Preajustes

Psicodélico/Trippy:

  • Flexi, martin + geiss - dedicated to the sherwin maxawow
  • Rovastar - Fractopia

Suave/Relajado:

  • Flexi - predator-prey-spirals
  • Geiss - Cosmic Strings 2

Alta Energía:

  • Flexi + Martin - disconnected
  • shifter - tumbling cubes

Lista de Verificación de Integración

  • AudioContext creado y reanudado con interacción del usuario
  • AnalyserNode conectado a la fuente de audio
  • Canvas con tamaño correcto (considerar devicePixelRatio)
  • Bucle de renderizado con requestAnimationFrame
  • Limpieza al desmontar (cancelAnimationFrame)
  • Carga de preajustes con tiempo de transición
  • Manejo de redimensionamiento
  • Soporte de pantalla completa con ESC para salir
  • Superposición de información de pista (z-index sobre el canvas)
  • Ocultar cursor después de inactividad

Consejos de Rendimiento

  1. Reducir la relación de textura para GPUs antiguas: textureRatio: 0.5
  2. Reducir fftSize si no es necesario: 512 o 1024 en lugar de 2048
  3. Usar will-change: transform en el canvas
  4. Evitar actualizaciones del DOM durante el bucle de renderizado
  5. Perfilar con la línea de tiempo de GPU de Chrome DevTools

Referencias

→ references/butterchurn-guide.md - Integración completa de Butterchurn → references/web-audio-fft.md - Extracción FFT y análisis de frecuencias → references/glsl-shaders.md - Patrones de shaders reactivos al audio


Este skill cubre: Butterchurn/Milkdrop | FFT de Web Audio | Shaders GLSL | Visualización en pantalla completa | Arte reactivo al audio

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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