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.

Vendor evaluation and selection framework — RFP/RFI design, scoring matrices, TCO analysis, contract risk. Use when the user asks to "evaluate vendors", "design RFP", "compare platforms", "assess TCO", or mentions vendor selection, build-vs-buy, technology evaluation, procurement strategy.

Use when the user asks to "create a budget", "estimate costs", "define contingency reserves", "build cost breakdown structure", or "establish a cost baseline for EVM". Activates when a stakeholder needs to produce a cost baseline, aggregate bottom-up estimates, calculate contingency and management reserves, generate a time-phased budget with S-curve, or define cost accounts for earned value tracking.

Mini Apps and Low-Code discovery — citizen developer readiness, platform assessment (Power Platform, OutSystems, Mendix, Retool), use case identification and prioritization, governance model, integration architecture, and low-code adoption roadmap. Use when the user asks to "evaluate low-code platforms", "assess citizen developer readiness", "mini apps strategy", "Power Platform assessment", "low-code governance", "no-code evaluation", "automation apps discovery", or mentions "citizen development", "low-code adoption", "mini apps".

Mobile app architecture -- native vs cross-platform, offline-first, state management, release management. Use when the user asks to "design mobile architecture", "choose between native and cross-platform", "implement offline-first", "plan mobile CI/CD", "optimize app performance", or mentions Flutter, React Native, KMP, MVVM, SwiftUI, Jetpack Compose, or app store deployment.

AS-IS assessment for mobile apps -- performance, compliance, dependency health, UX metrics. Use when the user asks to "assess the mobile app", "audit app health", "review app dependencies", "check app store compliance", "measure app performance", or mentions crash rate, ANR, app size, cold start time, or mobile tech debt.

Unified mobile platform assessment — merges former mobile-architecture and mobile-assessment into one skill. Covers cross-platform vs native strategy, store compliance, app vitals, architecture patterns, offline-first design, performance optimization, dependency health, and remediation roadmaps. Use when the user asks to "assess mobile architecture", "evaluate mobile platform", "audit app health", "choose between native and cross-platform", "check store compliance", "optimize mobile performance", "review app dependencies", or mentions Flutter, React Native, KMP, MVVM, crash rate, ANR, app size, cold start time, or mobile tech debt.

Use when the user asks to "track budget", "monitor costs", "review budget variance", "check contingency burn", or "forecast remaining project costs". Activates when a stakeholder needs to analyze cost variances against baseline, monitor contingency reserve consumption, update budget forecasts, generate burn rate analysis, or produce corrective action recommendations for cost overruns.

Use when the user asks to "run Monte Carlo", "simulate schedule risk", "probabilistic cost analysis", "confidence intervals", "forecast completion probability", or mentions Monte Carlo simulation, probabilistic analysis, schedule confidence, cost confidence. Triggers on: executes probabilistic schedule simulation, generates cost confidence curves, calculates contingency reserves from P-values, identifies sensitivity drivers via tornado diagram, produces S-curves with confidence levels.

Use when the user asks to "plan capacity", "forecast resource demand", "analyze resource availability", "match supply to demand", or "model resource scenarios". Activates when a stakeholder needs to analyze resource supply vs demand, identify capacity gaps, detect over-allocations, build time-phased capacity models, or plan proactive hiring and cross-training decisions before bottlenecks impact delivery.

Use when the user asks to "design ceremonies", "plan meeting cadence", "create facilitation guides", "define ceremony templates", or "optimize meeting calendar". Activates when a stakeholder needs to design a complete ceremony calendar, define time-boxes and agendas per ceremony, create facilitation guides, identify ceremony anti-patterns, or measure ceremony effectiveness across the project lifecycle.

Deep feasibility validation across 7 dimensions by a Council of Seven Sages (Think Tank). Postdoctoral-level research rigor applied to scenario validation. Validates technical claims, quantitative assumptions, systemic risks, technology maturity, infrastructure limits, integration feasibility, and economic viability. Use when validating approved scenarios before roadmap commitment, when stakeholders need confidence in technical achievability, or when "Phase 3b" / "feasibility" / "think tank" / "7 sabios" is mentioned.

Observability architecture — logging, tracing, metrics, alerting, SLO/SLI, incident response. Use when the user asks to "design observability", "set up monitoring", "implement tracing", "configure alerting", "define SLOs", "design incident response", or mentions OpenTelemetry, Prometheus, Grafana, ELK, correlation IDs, burn rate, runbooks.

Use when the user asks to "create onboarding plan", "plan knowledge transfer", "design team onboarding", "reduce ramp-up time", "capture institutional knowledge", or mentions onboarding playbook, knowledge transfer, new team member ramp-up, team integration. Triggers on: creates role-specific onboarding paths, designs knowledge transfer sessions, establishes buddy system, defines ramp-up milestones, captures institutional knowledge for preservation.

Use when the user asks to "manage positive risks", "exploit opportunities", "enhance project benefits", "capture upside potential", "optimize project outcomes", or mentions positive risk, opportunity exploitation, opportunity enhancement, upside risk management. Triggers on: identifies upside potential in project execution, applies exploit/share/enhance/accept strategies, quantifies opportunity value, integrates opportunity actions into project plan, tracks opportunity realization.

Use when the user asks to "facilitate a ceremony", "run a retrospective", "lead sprint planning", "moderate a meeting", or "design facilitation techniques". Activates when a stakeholder needs facilitation guides for project ceremonies, engagement techniques for team workshops, conflict navigation protocols for heated discussions, anti-pattern recognition during ceremony execution, or ceremony effectiveness measurement.

Guides implementation of AI/GenAI architectures on AWS — Bedrock setup, SageMaker pipelines, OpenSearch vector stores, API Gateway configuration, security hardening, cost controls, and deployment automation. This skill should be used when the user asks to "implement AI on AWS", "set up Bedrock", "deploy SageMaker pipeline", "configure OpenSearch for RAG", "implement AWS AI security", "set up AWS AI monitoring", or mentions AWS AI deployment, Bedrock Knowledge Base setup, SageMaker endpoint deployment, AWS GenAI implementation, or AWS AI CI/CD pipeline.

Use when the user asks to "plan benefits realization", "define KPIs", "track success metrics", "establish benefits framework", or "measure project value delivery". Activates when a stakeholder needs to link deliverables to business outcomes, define measurable KPIs with targets, design post-project benefit tracking, create a benefits ownership matrix, or establish a sustainability plan for realized benefits.

BI and analytics service discovery — data maturity assessment (DCAM/DMM), dashboard landscape inventory, semantic layer evaluation, self-service analytics readiness, data literacy assessment, analytics use case portfolio, and BI transformation roadmap. Distinct from bi-architecture (design skill); this is the discovery/assessment for BI-as-a-service engagements. Use when the user asks to "assess BI maturity", "evaluate analytics capabilities", "dashboard inventory", "data literacy assessment", "semantic layer review", "self-service analytics readiness", "analytics use case prioritization", "BI transformation roadmap", or mentions BI-as-a-service, analytics maturity, dashboard consolidation, data democratization, DCAM, DMM, or data literacy.

BI solution design — semantic layers, dashboard patterns, self-service analytics, KPI frameworks. Use when the user asks to "design BI architecture", "build a KPI framework", "set up self-service analytics", "design dashboard hierarchy", "create a semantic layer", or mentions metric trees, drill-down patterns, or reporting strategy.