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.

Generates branded XLSX (Excel) spreadsheets using the MetodologIA Neo-Swiss Design System v6. Uses openpyxl to create professional spreadsheets with navy headers, gold accent rows, and semantic conditional formatting. Use when the user requests a spreadsheet, XLSX output, or when the ghost menu routes to XLSX.

Generates branded XLSX (Excel) spreadsheets using the MetodologIA Neo-Swiss Design System v6. Uses openpyxl to create professional spreadsheets with navy headers, gold accent rows, and semantic conditional formatting. Use when the user requests a spreadsheet, XLSX output, or when the ghost menu routes to XLSX.

Generates branded PPTX (PowerPoint) presentations using the MetodologIA Neo-Swiss Design System v6. Uses python-pptx to create slide decks with navy backgrounds, gold accents, Poppins titles, and Trebuchet MS body text. Use when the user requests a presentation, slide deck, PPTX output, or when the ghost menu routes to PPTX format.

Generates branded PPTX (PowerPoint) presentations using the MetodologIA Neo-Swiss Design System v6. Uses python-pptx to create slide decks with navy backgrounds, gold accents, Poppins titles, and Trebuchet MS body text. Use when the user requests a presentation, slide deck, PPTX output, or when the ghost menu routes to PPTX format.

Generates branded DOCX (Word) documents using the MetodologIA Neo-Swiss Design System v6. Uses python-docx to create professional documents with navy headers, gold accents, Poppins headings, and Trebuchet MS body text. Use when the user requests a Word document, DOCX output, or when the ghost menu routes to DOCX.

Generates branded DOCX (Word) documents using the MetodologIA Neo-Swiss Design System v6. Uses python-docx to create professional documents with navy headers, gold accents, Poppins headings, and Trebuchet MS body text. Use when the user requests a Word document, DOCX output, or when the ghost menu routes to DOCX.

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.

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.

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 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.

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.

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.

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.

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.

Designs AWS cloud architectures for AI and GenAI workloads applying the Well-Architected Framework GenAI Lens (6 pillars: GENOPS, GENSEC, GENREL, GENPERF, GENCOST, GENSUS), AWS service selection matrices, RAG/Agent/Fine-Tuning patterns, cost optimization strategies, and enterprise reference architectures. Activated when designing, evaluating, or migrating AI systems on AWS.

Designs AWS cloud architectures for AI and GenAI workloads applying the Well-Architected Framework GenAI Lens (6 pillars: GENOPS, GENSEC, GENREL, GENPERF, GENCOST, GENSUS), AWS service selection matrices, RAG/Agent/Fine-Tuning patterns, cost optimization strategies, and enterprise reference architectures. Activated when designing, evaluating, or migrating AI systems on AWS.

Audits AWS AI/GenAI architectures against the Well-Architected GenAI Lens — operational excellence, security, reliability, performance, cost optimization, and sustainability. This skill should be used when the user asks to "audit AWS AI architecture", "review Bedrock configuration", "assess SageMaker security", "optimize AWS AI costs", "evaluate AWS GenAI compliance", "review AWS Well-Architected for AI", or mentions AWS AI audit, Bedrock audit, SageMaker review, AWS GenAI security assessment, or AWS AI cost optimization review.

Audits AWS AI/GenAI architectures against the Well-Architected GenAI Lens — operational excellence, security, reliability, performance, cost optimization, and sustainability. This skill should be used when the user asks to "audit AWS AI architecture", "review Bedrock configuration", "assess SageMaker security", "optimize AWS AI costs", "evaluate AWS GenAI compliance", "review AWS Well-Architected for AI", or mentions AWS AI audit, Bedrock audit, SageMaker review, AWS GenAI security assessment, or AWS AI cost optimization review.

Use when the user asks to "identify PM automation candidates", "automate PM reporting", "reduce manual PM processes", "find automation quick wins", or "design workflow automation". Activates when a stakeholder needs to scan PM processes for automation potential, calculate automation ROI, design automation specifications, prioritize automation backlog, or plan phased automation rollout across the PMO.