AI-specific design patterns and system tactics — Feature Store, Champion-Challenger, Shadow Deployment, Drift Detection, Explainability Wrapper, Canary Deployment, Bulkhead, and traditional patterns adapted for AI. This skill should be used when the user asks to "select AI design patterns", "apply ML patterns", "design drift detection", "implement feature store", "plan shadow deployment", "design champion-challenger", "select availability tactics for AI", or mentions AI anti-patterns, maintainability tactics, fault recovery for models, or pattern selection for ML systems.

AI-specific design patterns and system tactics — Feature Store, Champion-Challenger, Shadow Deployment, Drift Detection, Explainability Wrapper, Canary Deployment, Bulkhead, and traditional patterns adapted for AI. This skill should be used when the user asks to "select AI design patterns", "apply ML patterns", "design drift detection", "implement feature store", "plan shadow deployment", "design champion-challenger", "select availability tactics for AI", or mentions AI anti-patterns, maintainability tactics, fault recovery for models, or pattern selection for ML systems.

Concept of Operations (CONOPS) for AI systems — system vision, stakeholder mapping, AI-human interaction spectrum, business value assessment, success metrics, and operational modes. This skill should be used when the user asks to "define the AI operational concept", "map AI stakeholders", "design AI-human interaction levels", "assess AI business value", "define AI success metrics", "plan AI operational modes", or mentions CONOPS, IEEE 1362, AI autonomy levels, AI value matrix, or AI system vision.

Concept of Operations (CONOPS) for AI systems — system vision, stakeholder mapping, AI-human interaction spectrum, business value assessment, success metrics, and operational modes. This skill should be used when the user asks to "define the AI operational concept", "map AI stakeholders", "design AI-human interaction levels", "assess AI business value", "define AI success metrics", "plan AI operational modes", or mentions CONOPS, IEEE 1362, AI autonomy levels, AI value matrix, or AI system vision.

AI Center services discovery — AI readiness assessment using MetodologIA AI SCALE methodology, use case portfolio prioritization, data readiness evaluation, model inventory, AI governance assessment, infrastructure evaluation, MetodologIA AI product integration, and AI adoption roadmap. Use when the user asks to "assess AI readiness", "evaluate AI maturity", "AI discovery", "AI use case prioritization", "MLOps assessment", "AI governance evaluation", "AI adoption roadmap", "AI strategy assessment", "evaluate AI infrastructure", "AI product fit", or mentions "AI SCALE", "responsible AI", "AI pilots", "ML pipeline", "AI Center of Excellence", "LLM adoption", "generative AI strategy".

AI Center services discovery — AI readiness assessment using MetodologIA AI SCALE methodology, use case portfolio prioritization, data readiness evaluation, model inventory, AI governance assessment, infrastructure evaluation, MetodologIA AI product integration, and AI adoption roadmap. Use when the user asks to "assess AI readiness", "evaluate AI maturity", "AI discovery", "AI use case prioritization", "MLOps assessment", "AI governance evaluation", "AI adoption roadmap", "AI strategy assessment", "evaluate AI infrastructure", "AI product fit", or mentions "AI SCALE", "responsible AI", "AI pilots", "ML pipeline", "AI Center of Excellence", "LLM adoption", "generative AI strategy".

Guides implementation of AI system architectures — technology selection, pipeline implementation, model serving setup, monitoring deployment, and CI/CD automation. This skill should be used when the user asks to "implement AI architecture", "build ML pipeline", "set up model serving", "deploy AI system", "implement MLOps", "configure drift monitoring", "set up feature store", or mentions AI implementation plan, ML infrastructure setup, model deployment guide, RAG implementation, or agent framework setup.

Guides implementation of AI system architectures — technology selection, pipeline implementation, model serving setup, monitoring deployment, and CI/CD automation. This skill should be used when the user asks to "implement AI architecture", "build ML pipeline", "set up model serving", "deploy AI system", "implement MLOps", "configure drift monitoring", "set up feature store", or mentions AI implementation plan, ML infrastructure setup, model deployment guide, RAG implementation, or agent framework setup.

Audits existing AI system architectures against best practices — structural integrity, AI quality attributes, pattern adherence, anti-pattern detection, security compliance, and technical debt inventory. This skill should be used when the user asks to "audit AI architecture", "review ML system quality", "assess AI technical debt", "evaluate AI compliance", "detect AI anti-patterns", "review AI security posture", or mentions AI architecture review, AI system assessment, AI quality audit, drift monitoring audit, or AI governance review.

Audits existing AI system architectures against best practices — structural integrity, AI quality attributes, pattern adherence, anti-pattern detection, security compliance, and technical debt inventory. This skill should be used when the user asks to "audit AI architecture", "review ML system quality", "assess AI technical debt", "evaluate AI compliance", "detect AI anti-patterns", "review AI security posture", or mentions AI architecture review, AI system assessment, AI quality audit, drift monitoring audit, or AI governance review.

Use when the user asks to "assess agile maturity", "evaluate agile practices", "run agile readiness check", "benchmark Scrum adoption", or "audit agile capabilities". Activates when a stakeholder needs to measure agile adoption level, evaluate Scrum maturity, diagnose agile anti-patterns, compare agile readiness across teams, or baseline agile capability before a transformation initiative.

Use when the user asks to "assess agile maturity", "evaluate agile practices", "run agile readiness check", "benchmark Scrum adoption", or "audit agile capabilities". Activates when a stakeholder needs to measure agile adoption level, evaluate Scrum maturity, diagnose agile anti-patterns, compare agile readiness across teams, or baseline agile capability before a transformation initiative.

Adoption strategy design producing communication plan, training roadmap, resistance management tactics, and reinforcement mechanisms. Use when the user asks to "design adoption strategy", "plan change adoption", "communication plan", "training needs analysis", "resistance management", "adoption roadmap", "change communication", or mentions "post-implementation adoption", "user onboarding strategy", "technology adoption plan".

Adoption strategy design producing communication plan, training roadmap, resistance management tactics, and reinforcement mechanisms. Use when the user asks to "design adoption strategy", "plan change adoption", "communication plan", "training needs analysis", "resistance management", "adoption roadmap", "change communication", or mentions "post-implementation adoption", "user onboarding strategy", "technology adoption plan".

WCAG 2.1/2.2 compliance assessment — a11y testing strategy, remediation priorities, inclusive design. Use when the user asks to "audit accessibility", "assess WCAG compliance", "evaluate a11y", "review inclusive design", or mentions screen readers, ARIA, color contrast, keyboard navigation.

WCAG 2.1/2.2 compliance assessment — a11y testing strategy, remediation priorities, inclusive design. Use when the user asks to "audit accessibility", "assess WCAG compliance", "evaluate a11y", "review inclusive design", or mentions screen readers, ARIA, color contrast, keyboard navigation.

Genera playbooks HTML branded con metodologia vivida (13 flujos AI-native, 4 katas, adopcion progresiva, VR-AID, semaforo de valor). Use when the user asks to "crear playbook", "generar playbook", "playbook HTML", "cartilla de adopcion", "playbook de workflows", "generar cartilla".

Genera playbooks HTML branded con metodologia vivida (13 flujos AI-native, 4 katas, adopcion progresiva, VR-AID, semaforo de valor). Use when the user asks to "crear playbook", "generar playbook", "playbook HTML", "cartilla de adopcion", "playbook de workflows", "generar cartilla".

This skill should be used when the user asks to "generar canonico", "derivar documento", "verificar catalogo", "proponer servicio", "auditar texto comercial", "crear version ejecutiva/comercial/inexperto", "revisar precios", "verificar brand safety", "generar servicio a medida", "innovar servicio", "verificar compromisos legales", or mentions any document of the MetodologIA service catalog (canonicos, derivadas, guias, anexos). Orchestrates ALL operations on the MetodologIA service catalog: creation, derivation, verification, innovation, legal/commercial safety review, and brand compliance. Use this skill whenever the user references MetodologIA services, catalog documents, pricing, editorial guidelines, service proposals, or any combination thereof — even if they don't say "catalogo" explicitly.

Motor de propuestas comerciales MetodologIA — universal (Claude Desktop, Claude Code, Cowork). ACTIVAR cuando el usuario mencione: propuesta, cotización, oferta, presupuesto para cliente, armar pitch, presentación comercial, servicio nuevo, variante de servicio, "diseñar algo a medida", "innovar un servicio", "adaptar para este cliente", "atender este requerimiento", o cualquier solicitud de documento comercial o creación de servicio. Opera en DOS MODOS: — MODO ESTÁNDAR: propuesta basada en servicios existentes del catálogo — MODO INNOVACIÓN: diseño de servicio nuevo o variante a medida, partiendo del catálogo como base Por DEFAULT genera paquete bilingüe completo ES+EN en todos los formatos simultáneamente: HTML · DOCX · XLSX (pricing) · PPTX · Markdown Incluye verificación legal y de marca antes de toda entrega. Nunca compromete lo que no está en el canónico. Nunca sobre-expone legalmente. Siempre atractivo, siempre vendedor, siempre dentro del marco.