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Check and manage Azure quotas and usage across regions for deployment planning and capacity validation. \n \n Azure CLI ( az quota ) is the only reliable method for checking quotas; REST API and Portal are unreliable and show misleading \"No Limit\" values that do not indicate unlimited capacity \n Supports quota discovery, usage tracking, limit checking, and increase requests across compute, network, storage, and container services \n Quota resource names do not map 1:1 to ARM resource types; u

Identify cost savings across Azure subscriptions through resource analysis, utilization metrics, and actionable optimization recommendations. \n \n Discovers orphaned resources (unattached disks, unused NICs, idle gateways) and over-provisioned services using Azure Quick Review \n Queries actual costs from Azure Cost Management API and utilization data from Azure Monitor to support rightsizing recommendations \n Generates prioritized optimization reports with estimated savings, implementation co

Systematic diagnosis and remediation for Azure production issues using AppLens, Monitor, and resource health. \n \n Covers Container Apps, Function Apps, and AKS troubleshooting with service-specific guides for image pulls, cold starts, health probes, invocation failures, and node/pod issues \n Integrates AppLens (MCP) for AI-powered root cause analysis and Azure Monitor (MCP) for KQL-based log and metric queries \n Provides a five-step diagnostic flow: identify symptoms, check resource health,

Query metrics, logs, and traces across Azure Monitor, Application Insights, and Log Analytics. \n \n Access metrics, KQL log queries, and distributed tracing through MCP tools or Azure CLI commands \n Supports Application Insights for APM and performance analysis, Log Analytics for custom KQL queries, and Azure Monitor for infrastructure metrics \n Includes common KQL query patterns for errors, request performance, and resource usage monitoring \n Workbooks integration for building interactive o

Query metrics, logs, and traces across Azure Monitor, Application Insights, and Log Analytics. \n \n Access Azure Monitor metrics, Application Insights APM data, and Log Analytics KQL queries through MCP tools or Azure CLI commands \n Supports distributed tracing, performance analysis, and infrastructure monitoring across applications and resources \n Includes interactive workbooks for building custom dashboards and reports on observability data \n Common use cases: error tracking, request perfo

Prepare Azure applications for deployment with infrastructure-as-code, configuration, and containerization. \n \n Generates Bicep or Terraform infrastructure code, azure.yaml configuration, and Dockerfiles based on application type and deployment target \n Requires mandatory plan-first workflow: analyze workspace, gather requirements, select recipe (AZD, AZCLI, Bicep, or Terraform), design architecture, then execute only after user approval \n Covers new app creation, modernization, and updates;

Pre-deployment validation for Azure infrastructure, configuration, and permissions before deploying. \n \n Runs recipe-specific validation commands (azd provision, bicep build, terraform validate) and records proof in .azure/plan.md \n Requires .azure/plan.md from azure-prepare skill as input; blocks deployment if plan is missing or status is not Approved \n Validates azure.yaml, Bicep templates, Terraform configurations, Azure Functions, and app readiness across multiple deployment scenarios \n

Pre-deployment validation for Azure infrastructure, configuration, and permissions before deployment. \n \n Requires .azure/plan.md from a prior azure-prepare run; stops immediately if the plan is missing \n Executes recipe-specific validation commands (azd provision, bicep build, terraform validate) and records proof in the plan document \n Performs build verification, configuration checks, and permission validation; blocks deployment if any check fails \n Only authorized method to set plan sta

Execute Azure deployments for prepared applications with built-in error recovery and validation. \n \n Requires .azure/plan.md with Validated status from azure-validate and azure-prepare skills; will not proceed without both prerequisites \n Executes azd up , azd deploy , terraform apply , and az deployment commands with error handling and post-deployment verification \n Includes pre-deploy checklist, recipe-based deployment workflows, and post-deploy configuration for SQL managed identity and E

Plan, create, and configure production-ready Azure Kubernetes Service (AKS) clusters. Covers Day-0 checklist, SKU selection (Automatic vs Standard), networking options (private API server, Azure CNI Overlay, egress configuration), security, and operations (autoscaling, upgrade strategy, cost analysis). WHEN: create AKS environment, provision AKS environment, enable AKS observability, design AKS networking, choose AKS SKU, secure AKS.