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Assess and migrate cloud workloads from AWS, GCP, and other providers to Azure services. \n \n Supports migration from AWS Lambda to Azure Functions with scenario-specific conversion rules and best practices \n Generates assessment reports mapping source services to Azure equivalents before any code conversion \n Converts source code to target Azure runtime models using documented migration patterns and MCP tools for best practices \n Outputs all artifacts to a separate <source-folder>-azur

Execute KQL queries and analyze data in Azure Data Explorer for log analytics, telemetry, and time series insights. \n \n Execute KQL queries against massive datasets with sub-second performance, including filtering, aggregation, time series analysis, and cross-table joins \n Discover and explore cluster resources, databases, and table schemas to understand your data model before querying \n Supports five core query patterns: basic retrieval, aggregation analysis, time series analytics, join-bas

Access Azure AI Search, Speech, OpenAI, and Document Intelligence services through unified MCP tools. \n \n AI Search supports full-text, vector, hybrid, and semantic search with built-in AI enrichment for entity extraction and OCR \n Speech service handles real-time and batch speech-to-text transcription, text-to-speech synthesis with neural voices, and speaker diarization \n MCP tools provide direct access: azure__search for index queries and azure__speech for transcription and synthesis \n SD

Assess and automate upgrades of Azure workloads across plans, tiers, and SKUs. \n \n Handles plan migrations (Consumption to Flex Consumption), tier upgrades, and cross-service moves (App Service to Container Apps) with sequential assessment before any changes \n Generates pre-upgrade readiness reports, collects existing app settings and configurations, then executes automated upgrade steps with idempotent scripts \n Requires explicit user confirmation for destructive actions and target plan/SKU

Build and deploy GitHub Copilot SDK applications to Azure with flexible model configuration. \n \n Three scaffolding paths: create new greenfield projects, add SDK services to existing repos, or deploy existing SDK apps with Azure infrastructure \n Supports three model configurations: GitHub's default models, specific GitHub models via discovery, or bring-your-own-model (BYOM) on Azure with DefaultAzureCredential authentication \n Template includes Express/TypeScript API, React/Vite frontend, Bi

Guidance and reference material for instrumenting webapps with Azure Application Insights. \n \n Covers SDK setup, telemetry patterns, and configuration for ASP.NET Core, Node.js, and Python applications hosted in Azure \n Distinguishes between this skill (reference and guidance) and azure-prepare (which orchestrates actual instrumentation changes) \n Recommends auto-instrumentation for C# ASP.NET Core apps on Azure App Service; provides manual instrumentation paths for other stacks \n Includes

Find minimal Azure RBAC roles, generate assignment commands, and provide Bicep infrastructure code. \n \n Identifies built-in roles matching desired permissions using Azure documentation, or creates custom role definitions when no built-in role fits \n Generates Azure CLI commands and Bicep code snippets for assigning roles to identities, service principals, and managed identities \n Clarifies prerequisites for granting roles, including which permissions ( Microsoft.Authorization/roleAssignments

Find minimal Azure RBAC roles, generate assignment commands, and provide Bicep infrastructure code. \n \n Identifies built-in roles matching desired permissions using Azure documentation, or generates custom role definitions when no built-in role fits \n Produces Azure CLI commands and Bicep code snippets for role assignments to identities, managed identities, and service principals \n Documents prerequisites for granting roles, including required permissions and recommended least-privilege role

Diagnose and resolve Azure Event Hubs and Service Bus SDK issues across languages. \n \n Covers connection failures, authentication errors, AMQP link issues, message lock timeouts, and event processor stalls across Python, Java, JavaScript, and .NET SDKs \n Includes language-specific troubleshooting guides, configuration best practices (retry, prefetch, batch size), and checkpoint/dead-letter diagnostics \n Integrates with Azure Monitor for KQL log queries, resource health checks, and Microsoft

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 requirements \n Follows mandatory plan-first workflow: analyze workspace, gather requirements, select deployment recipe (AZD, AZCLI, Bicep, or Terraform), design architecture, and get user approval before code generation \n Supports creation, modernization, and up