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Unified access to Azure blob storage, file shares, queues, tables, and data lakes with lifecycle management and redundancy options. \n \n Five storage service types: Blob Storage for objects and backups, File Shares for SMB access, Queue Storage for async messaging, Table Storage for NoSQL key-value, and Data Lake for big data analytics \n MCP server tools for listing accounts, containers, and blobs, plus downloading and uploading blob content; CLI fallback available via az storage commands \n C

End-to-end deployment, evaluation, and lifecycle management for Microsoft Foundry agents. \n \n Covers the complete agent development lifecycle: create, deploy (Docker build, ACR push), invoke, evaluate, optimize prompts, and troubleshoot \n Organized into specialized sub-skills for deploy, invoke, observe (evaluation and prompt optimization), trace, troubleshoot, and dataset curation from production traces \n Supports both prompt-based agents (LLM-backed) and hosted agents (container-based cust

Deploy static sites and serverless APIs to Azure with local development emulation and CLI automation. \n \n Provides local emulator ( swa start ) with API proxy, authentication simulation, and framework auto-detection for React, Vue, Angular, Next.js, and others \n Supports Azure Functions backends with Node.js, Python, and .NET runtimes; configure via staticwebapp.config.json for routes, auth rules, and headers \n Includes deployment workflow: swa init (auto-detects framework), swa build , swa

Recommend Azure VM sizes, scale sets, and configurations based on workload requirements and budget. \n \n Analyzes workload type, performance needs, scaling requirements, and cost to suggest 2–3 VM or VMSS options with trade-offs \n Verifies recommendations against live Microsoft documentation; falls back to reference files if fetch fails \n Queries the unauthenticated Azure Retail Prices API for current pricing without requiring an Azure subscription \n Guides VM vs VMSS decision through a deci

Fast discovery and inventory of Azure resources across subscriptions using Resource Graph queries. \n \n Queries any Azure resource type (VMs, storage accounts, web apps, container apps, Key Vaults, etc.) across subscriptions and resource groups in a single command \n Supports cross-cutting searches for orphaned resources, missing tags, unhealthy states, and resource inventory counts \n Routes single-resource-type queries to dedicated MCP tools when available; falls back to Azure Resource Graph

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

Azure compliance scanning, Key Vault expiration auditing, and resource configuration validation. \n \n Runs azqr (Azure Quick Review) for comprehensive compliance assessment against best practices across subscriptions and resource groups \n Monitors Key Vault keys, secrets, and certificates for expiration dates and identifies items without expiration policies \n Detects orphaned, misconfigured, and non-compliant resources using Resource Graph queries \n Classifies findings by priority (Critical,

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

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

Systematic diagnosis and remediation for Azure production issues using AppLens, Azure Monitor, and resource health checks. \n \n Covers Container Apps, Function Apps, and AKS clusters with service-specific troubleshooting guides for image pulls, cold starts, health probes, invocation failures, and node/pod issues \n Includes AppLens MCP integration 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 sympt