Cloud-native design -- containers, service mesh, serverless, multi-cloud, FinOps. Use when the user asks to "design cloud-native architecture", "containerize the application", "evaluate service mesh", "plan serverless migration", "implement multi-cloud strategy", "optimize cloud costs", or mentions Kubernetes, Istio, Docker, Helm, Terraform, FinOps, or 12-factor.

Cloud-as-a-Service discovery — cloud readiness assessment, DevOps maturity (DORA), cloud operations model, FinOps assessment, cloud security posture, and cloud services roadmap. Distinct from cloud-migration (which covers migration strategy); this covers Cloud as an ongoing service offering. Use when the user asks to "assess cloud operations", "evaluate DevOps maturity", "DORA assessment", "FinOps evaluation", "cloud security posture", "SRE maturity", "cloud operations model", "cloud service roadmap", or mentions cloud-as-a-service, platform engineering, toil reduction, FinOps, cloud cost optimization, or cloud operations.

Business model and value capture strategy — identifies optimal commercial structures for technology engagements beyond T&M. Use when the user asks to "define business model", "structure the deal", "identify value capture", "design pricing strategy", "explore commercial models", or mentions earned value, joint venture, revenue share, outcome-based, licensing model, or commercial structure.

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 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 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.

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.

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 "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 "track assumptions", "document constraints", "log assumptions", "manage project assumptions", or "validate planning hypotheses". Activates when a stakeholder needs to create an assumption register, document project constraints, link assumptions to risks, establish assumption validation cadence, or audit planning hypotheses across the project lifecycle.

CLI interactivo de inicialización que configura el entorno del cliente, pre-puebla discovery/, ejecuta G0 security scan y prepara el contexto para discovery.

Use when the user asks to "configure dashboards", "set up data feeds", "design monitoring tools", "automate dashboard updates", or "integrate PM data sources". Activates when a stakeholder needs to configure PM dashboard tooling, set up automated data feeds from PM tools, design visualization components, configure alert thresholds, or establish dashboard refresh cadence and access control.

Data pipeline architecture — ingestion, orchestration, quality, lineage, SLAs. Use when the user asks to "design data pipelines", "architect ingestion", "set up orchestration", "plan data lake", "design lakehouse", or mentions Airflow, Dagster, CDC, data lineage, or pipeline SLAs.

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 "audit PM tools visually", "inspect Jira configuration", "review Azure DevOps setup", "check Monday.com boards", or "evaluate tool configuration". Activates when a stakeholder needs to perform a visual audit of PM tool configurations, capture screenshot evidence of misconfigurations, compare tool setup against methodology best practices, identify workflow anti-patterns in PM tools, or produce a remediation roadmap for tool optimization.

Data governance framework — catalog, ownership, classification, retention, privacy compliance, data mesh. Use when the user asks to "build a data catalog", "define data ownership", "classify sensitive data", "design retention policies", "ensure privacy compliance", "implement data mesh governance", or mentions GDPR, CCPA, LGPD, data stewardship, PII, data lineage, or federated governance.

Data mesh readiness assessment and strategy using Zhamak Dehghani's 4 principles. Use when the user asks to "assess data mesh readiness", "design data mesh strategy", "domain data ownership", "data as a product", "self-serve data platform", "federated data governance", "data mesh migration", or mentions "data decentralization", "data domain ownership", "data product thinking".

Data quality framework — profiling, validation, anomaly detection, data contracts, SLA monitoring. Use when the user asks to "design data quality framework", "set up data contracts", "plan data validation", "detect data anomalies", "define data SLAs", or mentions data profiling, quarantine patterns, or remediation workflows.

ML/AI system design — model lifecycle, feature stores, experiment tracking, model serving, MLOps pipelines. Use when the user asks to "design an ML system", "architect model serving", "set up experiment tracking", "design feature store", "plan MLOps pipeline", or mentions model registry, A/B testing, drift detection, or retraining triggers.

Transforms metrics and findings into meaningful narratives — insight extraction, metrics-to-meaning conversion, comparison framing, and magnitude communication. Use when presenting scoring matrices, coverage metrics, performance data, cost estimates, or any quantitative finding that needs interpretation and context.