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For cloud architects and platform engineers planning networking, identity, security, compliance, and multi-resource topologies with WAF alignment. Generates Bicep or Terraform directly (no azd). WHEN: 'plan Azure infrastructure', 'architect Azure landing zone', 'design hub-spoke network', 'plan multi-region DR topology', 'set up VNets firewalls and private endpoints', 'subscription-scope Bicep deployment', 'Azure Backup for VM workloads'. PREFER azure-prepare FOR app-centric workflows.\"\nlicense: MIT\nmetadata:\n  author: Microsoft\n  version: \"1.3.1\"\n---\n\n# Azure Enterprise Infra Planner\n\n## When to Use This Skill\n\nActivate this skill when user wants to:\n- Plan enterprise Azure infrastructure from a workload or architecture description\n- Architect a landing zone, hub-spoke network, or multi-region topology\n- Design networking infrastructure: VNets, subnets, firewalls, private endpoints, VPN gateways\n- Plan identity, RBAC, and compliance-driven infrastructure\n- Generate Bicep or Terraform for subscription-scope or multi-resource-group deployments\n- Plan disaster recovery, failover, or cross-region high-availability topologies\n\n## Quick Reference\n\n| Property | Details |\n|---|---|\n| MCP tools | `insights_get`, `get_azure_bestpractices_get`, `wellarchitectedframework_serviceguide_get`, `microsoft_docs_fetch`, `microsoft_docs_search`, `bicepschema_get` |\n| CLI commands | `az deployment group create`, `az bicep build`, `az resource list`, `terraform init`, `terraform plan`, `terraform validate`, `terraform apply` |\n| Output schema | [schema.md](references\u002Fschema.md) |\n| Key references | [workflow.md](references\u002Fworkflow.md), [waf-checklist.md](references\u002Fwaf-checklist.md), [resources\u002F](references\u002Fresources\u002FREADME.md), [constraints\u002F](references\u002Fconstraints\u002FREADME.md) |\n\n## Workflow (Start Here)\n\nFollow the step-by-step instructions in [workflow.md](references\u002Fworkflow.md) to execute the 7 phases of infrastructure planning and provisioning.\n\n## MCP Tools\n\n| Tool | Purpose |\n|------|---------|\n| `insights_get` | Retrieve insights about the user's existing Azure environment to guide planning decisions |\n| `get_azure_bestpractices_get` | Azure best practices for code generation, operations, and deployment |\n| `wellarchitectedframework_serviceguide_get` | WAF service guide for a specific Azure service |\n| `microsoft_docs_search` | Search Microsoft Learn for relevant documentation chunks |\n| `microsoft_docs_fetch` | Fetch full content of a Microsoft Learn page by URL |\n| `bicepschema_get` | Bicep schema definition for any Azure resource type (latest API version) |\n\n## Error Handling\n\n| Error | Cause | Fix |\n|---|---|---|\n| MCP tool error or not available | Tool call timeout, connection error, or tool doesn't exist | Retry once; fall back to reference files and notify user if unresolved |\n| Plan approval missing | `meta.status` is not `approved` | Stop and prompt user for approval before IaC generation or deployment |\n| IaC validation failure | `az bicep build` or `terraform validate` returns errors | Fix the generated code and re-validate; notify user if unresolved |\n| Pairing constraint violation | Incompatible SKU or resource combination | Fix in plan before proceeding to IaC generation |\n| Infra plan or IaC files not found | Files written to wrong location or not created | 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Supports Lambda→Functions, Beanstalk\u002FHeroku\u002FApp Engine→App Service, Fargate\u002FKubernetes\u002FCloud Run\u002FSpring Boot→Container Apps. WHEN: migrate Lambda to Functions, AWS to Azure, migrate Beanstalk, migrate Heroku, migrate App Engine, Cloud Run migration, Fargate to ACA, ECS\u002FKubernetes\u002FGKE\u002FEKS to Container Apps, Spring Boot to Container Apps, cross-cloud migration.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[697,700,701,704],{"name":698,"slug":699,"type":15},"AWS","aws",{"name":17,"slug":18,"type":15},{"name":702,"slug":703,"type":15},"Google Cloud","google-cloud",{"name":705,"slug":706,"type":15},"Migration","migration","2026-07-31T05:56:29.049979",{"slug":709,"name":709,"fn":710,"description":711,"org":712,"tags":713,"stars":31,"repoUrl":32,"updatedAt":723},"azure-compliance","audit Azure compliance and security","Run Azure compliance and security audits with azqr plus Key Vault expiration checks. Covers best-practice assessment, resource review, policy\u002Fcompliance validation, and security posture checks. WHEN: compliance scan, security audit, BEFORE running azqr (compliance cli tool), Azure best practices, Key Vault expiration check, expired certificates, expiring secrets, orphaned resources, compliance assessment.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[714,717,718,719,722],{"name":715,"slug":716,"type":15},"Audit","audit",{"name":17,"slug":18,"type":15},{"name":20,"slug":21,"type":15},{"name":720,"slug":721,"type":15},"Regulatory Compliance","regulatory-compliance",{"name":13,"slug":14,"type":15},"2026-07-31T05:56:11.06797",{"slug":725,"name":725,"fn":726,"description":727,"org":728,"tags":729,"stars":31,"repoUrl":32,"updatedAt":741},"azure-compute","manage and optimize Azure compute resources","Azure VM\u002FVMSS router. WHEN: create \u002F provision \u002F deploy \u002F spin-up VM, recommend VM size, compare VM pricing, VMSS, scale set, autoscale, burstable, lightweight server, website, backend, GPU, machine learning, HPC simulation, dev\u002Ftest, workload, family, load balancer, Flexible orchestration, Uniform orchestration, cost estimate, capacity reservation (CRG), reserve, guarantee capacity, pre-provision, CRG association, CRG disassociation, machine enrollment (EMM), Essential Machine Management, monitor. PREFER OVER mcp__azure__get_azure_bestpractices for VM create intents — use compute_vm_list-skus \u002F compute_vm_list-images \u002F compute_vm_check-quota.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[730,731,732,735,738],{"name":29,"slug":30,"type":15},{"name":17,"slug":18,"type":15},{"name":733,"slug":734,"type":15},"Cost Optimization","cost-optimization",{"name":736,"slug":737,"type":15},"Performance","performance",{"name":739,"slug":740,"type":15},"Virtual Machines","virtual-machines","2026-07-31T05:56:16.042469",28,{"items":744,"total":925},[745,767,784,803,814,829,840,851,866,881,900,913],{"slug":746,"name":746,"fn":747,"description":748,"org":749,"tags":750,"stars":764,"repoUrl":765,"updatedAt":766},"rushstack-best-practices","manage Rush monorepos with best practices","Provides best practices and guidance for working with Rush monorepos. Use when the user is working in a Rush-based repository, asks about Rush commands (install, update, build, rebuild), needs help with project selection, dependency management, build caching, subspace configuration, or troubleshooting Rush-specific issues.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[751,754,757,758,761],{"name":752,"slug":753,"type":15},"Engineering","engineering",{"name":755,"slug":756,"type":15},"Local Development","local-development",{"name":9,"slug":8,"type":15},{"name":759,"slug":760,"type":15},"Project Management","project-management",{"name":762,"slug":763,"type":15},"Rush","rush",6484,"https:\u002F\u002Fgithub.com\u002Fmicrosoft\u002Frushstack","2026-04-06T18:34:44.965032",{"slug":768,"name":768,"fn":769,"description":770,"org":771,"tags":772,"stars":781,"repoUrl":782,"updatedAt":783},"azure-ai-agents-persistent-dotnet","build AI agents with Azure .NET SDK","Azure AI Agents Persistent SDK for .NET. Low-level SDK for creating and managing AI agents with threads, messages, runs, and tools. Use for agent CRUD, conversation threads, streaming responses, function calling, file search, and code interpreter. Triggers: \"PersistentAgentsClient\", \"persistent agents\", \"agent threads\", \"agent runs\", \"streaming agents\", \"function calling agents .NET\".\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[773,776,779,780],{"name":774,"slug":775,"type":15},".NET","net",{"name":777,"slug":778,"type":15},"Agents","agents",{"name":17,"slug":18,"type":15},{"name":660,"slug":661,"type":15},2804,"https:\u002F\u002Fgithub.com\u002Fmicrosoft\u002Fskills","2026-07-03T16:32:10.297433",{"slug":785,"name":785,"fn":786,"description":787,"org":788,"tags":789,"stars":781,"repoUrl":782,"updatedAt":802},"azure-ai-anomalydetector-java","build anomaly detection applications with Java","Build anomaly detection applications with Azure AI Anomaly Detector SDK for Java. Use when implementing univariate\u002Fmultivariate anomaly detection, time-series analysis, or AI-powered monitoring.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[790,793,794,797,800,801],{"name":791,"slug":792,"type":15},"Analytics","analytics",{"name":17,"slug":18,"type":15},{"name":795,"slug":796,"type":15},"Data Analysis","data-analysis",{"name":798,"slug":799,"type":15},"Java","java",{"name":9,"slug":8,"type":15},{"name":645,"slug":646,"type":15},"2026-05-13T06:14:16.261754",{"slug":804,"name":804,"fn":805,"description":806,"org":807,"tags":808,"stars":781,"repoUrl":782,"updatedAt":813},"azure-ai-contentsafety-java","build content moderation applications with Azure AI","Build content moderation applications with Azure AI Content Safety SDK for Java. Use when implementing text\u002Fimage analysis, blocklist management, or harm detection for hate, violence, sexual content, and self-harm.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[809,810,811,812],{"name":29,"slug":30,"type":15},{"name":17,"slug":18,"type":15},{"name":798,"slug":799,"type":15},{"name":13,"slug":14,"type":15},"2026-07-07T06:53:31.293235",{"slug":815,"name":815,"fn":816,"description":817,"org":818,"tags":819,"stars":781,"repoUrl":782,"updatedAt":828},"azure-ai-contentsafety-py","detect harmful content with Azure AI Content Safety","Azure AI Content Safety SDK for Python. Use for detecting harmful content in text and images with multi-severity classification.\nTriggers: \"azure-ai-contentsafety\", \"ContentSafetyClient\", \"content moderation\", \"harmful content\", \"text analysis\", \"image analysis\".\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[820,821,822,823,824,827],{"name":17,"slug":18,"type":15},{"name":20,"slug":21,"type":15},{"name":660,"slug":661,"type":15},{"name":9,"slug":8,"type":15},{"name":825,"slug":826,"type":15},"Python","python",{"name":13,"slug":14,"type":15},"2026-07-18T05:14:23.017504",{"slug":830,"name":830,"fn":831,"description":832,"org":833,"tags":834,"stars":781,"repoUrl":782,"updatedAt":839},"azure-ai-language-conversations-py","implement conversational language understanding with Python","Implement Conversational Language Understanding (CLU) using the azure-ai-language-conversations Python SDK. Use when working with ConversationAnalysisClient to analyze conversation intent and entities, building NLP features, or integrating language understanding into applications.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[835,836,837,838],{"name":791,"slug":792,"type":15},{"name":17,"slug":18,"type":15},{"name":660,"slug":661,"type":15},{"name":825,"slug":826,"type":15},"2026-07-31T05:54:29.068751",{"slug":841,"name":841,"fn":842,"description":843,"org":844,"tags":845,"stars":781,"repoUrl":782,"updatedAt":850},"azure-ai-translation-text-py","translate text using Azure AI services","Azure AI Text Translation SDK for real-time text translation, transliteration, language detection, and dictionary lookup. Use for translating text content in applications.\nTriggers: \"text translation\", \"translator\", \"translate text\", \"transliterate\", \"TextTranslationClient\".\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[846,847,848,849],{"name":680,"slug":681,"type":15},{"name":17,"slug":18,"type":15},{"name":9,"slug":8,"type":15},{"name":825,"slug":826,"type":15},"2026-07-18T05:14:16.988376",{"slug":852,"name":852,"fn":853,"description":854,"org":855,"tags":856,"stars":781,"repoUrl":782,"updatedAt":865},"azure-ai-vision-imageanalysis-py","analyze images with Azure AI Vision","Azure AI Vision Image Analysis SDK for captions, tags, objects, OCR, people detection, and smart cropping. Use for computer vision and image understanding tasks.\nTriggers: \"image analysis\", \"computer vision\", \"OCR\", \"object detection\", \"ImageAnalysisClient\", \"image caption\".\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[857,858,861,864],{"name":17,"slug":18,"type":15},{"name":859,"slug":860,"type":15},"Computer Vision","computer-vision",{"name":862,"slug":863,"type":15},"Images","images",{"name":825,"slug":826,"type":15},"2026-07-18T05:14:18.007737",{"slug":867,"name":867,"fn":868,"description":869,"org":870,"tags":871,"stars":781,"repoUrl":782,"updatedAt":880},"azure-appconfiguration-java","manage configuration with Azure App Configuration","Azure App Configuration SDK for Java. Centralized application configuration management with key-value settings, feature flags, and snapshots.\nTriggers: \"ConfigurationClient java\", \"app configuration java\", \"feature flag java\", \"configuration setting java\", \"azure config java\".\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[872,873,876,879],{"name":17,"slug":18,"type":15},{"name":874,"slug":875,"type":15},"Configuration","configuration",{"name":877,"slug":878,"type":15},"Feature Flags","feature-flags",{"name":798,"slug":799,"type":15},"2026-07-03T16:32:01.278468",{"slug":882,"name":882,"fn":883,"description":884,"org":885,"tags":886,"stars":781,"repoUrl":782,"updatedAt":899},"azure-cosmos-rust","build applications with Azure Cosmos DB","Azure Cosmos DB library for Rust (NoSQL API). Document CRUD, containers, and globally distributed data.\nTriggers: \"cosmos db rust\", \"CosmosClient rust\", \"document crud rust\", \"NoSQL rust\", \"partition key rust\".\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[887,890,893,896],{"name":888,"slug":889,"type":15},"Cosmos DB","cosmos-db",{"name":891,"slug":892,"type":15},"Database","database",{"name":894,"slug":895,"type":15},"NoSQL","nosql",{"name":897,"slug":898,"type":15},"Rust","rust","2026-07-31T05:54:27.021432",{"slug":901,"name":901,"fn":883,"description":902,"org":903,"tags":904,"stars":781,"repoUrl":782,"updatedAt":912},"azure-cosmos-ts","Azure Cosmos DB JavaScript\u002FTypeScript SDK (@azure\u002Fcosmos) for data plane operations. Use for CRUD operations on documents, queries, bulk operations, and container management. Triggers: \"Cosmos DB\", \"@azure\u002Fcosmos\", \"CosmosClient\", \"document CRUD\", \"NoSQL queries\", \"bulk operations\", \"partition key\", \"container.items\".\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[905,906,907,908,909],{"name":888,"slug":889,"type":15},{"name":891,"slug":892,"type":15},{"name":9,"slug":8,"type":15},{"name":894,"slug":895,"type":15},{"name":910,"slug":911,"type":15},"TypeScript","typescript","2026-07-03T16:31:19.368382",{"slug":914,"name":914,"fn":915,"description":916,"org":917,"tags":918,"stars":781,"repoUrl":782,"updatedAt":924},"azure-data-tables-java","build table storage applications with Java","Build table storage applications with Azure Tables SDK for Java. Use when working with Azure Table Storage or Cosmos DB Table API for NoSQL key-value data, schemaless storage, or structured data at scale.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[919,920,921,922,923],{"name":17,"slug":18,"type":15},{"name":888,"slug":889,"type":15},{"name":891,"slug":892,"type":15},{"name":798,"slug":799,"type":15},{"name":894,"slug":895,"type":15},"2026-05-13T06:14:17.582229",267]