
azure-well-architected
Expert guidance for designing, assessing, and optimizing Azure workloads using Azure Well Architected. Covers design review checklists, recommendations, design principles, tradeoffs, service guides, workload patterns, and assessment questions. Use when designing AI/HPC/SaaS workloads, AVD/AVS deployments, WAF assessments, or App Service/AKS/SQL architectures, and other Azure Well Architected related development tasks.
- Installs
- 646
- Last 24h
- —
- Trending rank
- —
- Security
- Not audited
Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/microsoftdocs/agent-skills --skill azure-well-architected- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads azure-well-architected automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
SKILL.md
The instructions your agent reads when the skill is triggered.
Azure Well Architected Skill
This skill provides expert guidance for designing, assessing, and optimizing Azure workloads using Azure Well Architected. Covers design review checklists, recommendations, design principles, tradeoffs, service guides, workload patterns, and assessment questions. It combines local quick-reference content with remote documentation fetching capabilities.
How to Use This Skill
IMPORTANT for Agent: Use the Category Index below to locate relevant sections. For categories with line ranges (e.g.,
L35-L120), useread_filewith the specified lines. For categories with file links (e.g.,[security.md](security.md)), useread_fileon the linked reference file
IMPORTANT for Agent: If
metadata.generated_atis more than 3 months old, suggest the user pull the latest version from the repository. Ifmcp_microsoftdocstools are not available, suggest the user install it: Installation Guide
This skill requires network access to fetch documentation content:
- Preferred: Use
mcp_microsoftdocs:microsoft_docs_fetchwith query stringfrom=learn-agent-skill. Returns Markdown. - Fallback: Use
fetch_webpagewith query stringfrom=learn-agent-skill&accept=text/markdown. Returns Markdown.
Category Index
| Category | Lines | Description |
|---|---|---|
| Design Review Checklists | L35-L43 | Checklists to review Azure workloads for cost, operations, performance, reliability, and security best practices and identify gaps against Well-Architected guidance. |
| Recommendations | L44-L117 | Guidance on cost, reliability, performance, security, and operational excellence best practices for Azure workloads, including optimization, monitoring, automation, and sustainable cloud operations. |
| Design Principles | L118-L133 | High-level Azure design guidance: cost, performance, reliability, security/Zero Trust, sustainability, operational excellence, capacity resilience, and patterns for AI, HPC, and SaaS workloads. |
| Tradeoffs | L134-L143 | Guidance on weighing cost, reliability, performance, security, and operations tradeoffs in Azure architectures, including regions/AZ choices and cross-pillar design decisions. |
| Service Guides | L144-L180 | Service-specific Azure Well-Architected (WAF) guidance: design, configure, secure, and optimize individual services (App Service, AKS, SQL, networking, storage, etc.) using WAF pillars. |
| Workload Patterns | L181-L225 | Design patterns, reference architectures, and end-to-end guidance for AI, HPC, mission-critical, SaaS, and sustainable workloads on Azure, including platforms, data, ops, security, and governance. |
| Assessment Questions | L226-L237 | Guided assessments and maturity models to evaluate AI, SaaS, AVD, AVS, and other Azure workloads against WAF pillars: cost, reliability, security, performance, and operations. |
Design Review Checklists
| Topic | URL |
|---|---|
| Use Cost Optimization design review checklist for Azure | https://learn.microsoft.com/en-us/azure/well-architected/cost-optimization/checklist |
| Use operational excellence design review checklist | https://learn.microsoft.com/en-us/azure/well-architected/operational-excellence/checklist |
| Use performance efficiency design review checklist | https://learn.microsoft.com/en-us/azure/well-architected/performance-efficiency/checklist |
| Use reliability design checklist for Azure workloads | https://learn.microsoft.com/en-us/azure/well-architected/reliability/checklist |
| Use the Security design review checklist for workloads | https://learn.microsoft.com/en-us/azure/well-architected/security/checklist |
Recommendations
Design Principles
Tradeoffs
| Topic | URL |
|---|---|
| Analyze cost optimization tradeoffs across WAF pillars | https://learn.microsoft.com/en-us/azure/well-architected/cost-optimization/tradeoffs |
| Balance regions and availability zones for reliability and cost | https://learn.microsoft.com/en-us/azure/well-architected/design-guides/regions-availability-zones |
| Evaluate operational excellence tradeoffs in Azure workloads | https://learn.microsoft.com/en-us/azure/well-architected/operational-excellence/tradeoffs |
| Analyze performance efficiency tradeoffs across WAF pillars | https://learn.microsoft.com/en-us/azure/well-architected/performance-efficiency/tradeoffs |
| Analyze reliability tradeoffs across WAF pillars | https://learn.microsoft.com/en-us/azure/well-architected/reliability/tradeoffs |
| Evaluate security tradeoffs in Azure architectures | https://learn.microsoft.com/en-us/azure/well-architected/security/tradeoffs |
Service Guides
Workload Patterns
Assessment Questions
FAQ
What does the azure-well-architected skill do?
Expert guidance for designing, assessing, and optimizing Azure workloads using Azure Well Architected. Covers design review checklists, recommendations, design principles, tradeoffs, service guides, workload patterns, and assessment questions. Use when designing AI/HPC/SaaS workloads, AVD/AVS deployments, WAF assessments, or App Service/AKS/SQL architectures, and other Azure Well Architected related development tasks.
How do I install azure-well-architected?
Run npx skills add https://github.com/microsoftdocs/agent-skills --skill azure-well-architected in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/azure-well-architected/ (personal) or .claude/skills/azure-well-architected/ (project).
Which AI agents can use azure-well-architected?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is azure-well-architected safe to install?
No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.
Who maintains azure-well-architected?
It is published by microsoftdocs in microsoftdocs/agent-skills. It has 646 recorded installs.
More from microsoftdocs/agent-skills
azure-container-apps
microsoftdocs/agent-skills
Expert knowledge for Azure Container Apps development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when configuring ACA auth/networking, workload profiles/GPUs, CI/CD deployments, KEDA/Dapr scaling, or Java microservices, and other Azure Container Apps related development tasks. Not for Azure App Service (use azure-app-service), Azure Functions (use azure-functions), Azure Kubernetes Service (AKS) (use azure-kubernetes-service), Azure Spring Apps (use azure-spring-apps).
azure-sql-database
microsoftdocs/agent-skills
Expert knowledge for Azure SQL Database development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when choosing DTU/vCore tiers, configuring serverless or Hyperscale, geo-replication/DR, CI/CD, or Terraform, and other Azure SQL Database related development tasks. Not for Azure SQL Managed Instance (use azure-sql-managed-instance), SQL Server on Azure Virtual Machines (use azure-sql-virtual-machines), Azure Cosmos DB (use azure-cosmos-db), Azure Data Factory (use azure-data-factory).
azure-pipelines
microsoftdocs/agent-skills
Open the skill to read its SKILL.md instructions.
azure-architecture
microsoftdocs/agent-skills
Open the skill to read its SKILL.md instructions.
azure-devops
microsoftdocs/agent-skills
Open the skill to read its SKILL.md instructions.
azure-functions
microsoftdocs/agent-skills
Open the skill to read its SKILL.md instructions.
Popular devops & cloud skills
microsoft-foundry
microsoft/azure-skills
Build, deploy, evaluate, optimize, fine-tune, and manage Microsoft Foundry agents, models, and resources end to end. USE FOR: foundry, azd ai agent, azd provision/deploy, hosted agent scaffold/develop/run/deploy/troubleshoot, prompt agent create, managed harness agent create, GitHub Copilot harness agent, create agent, update agent, add tool to agent, invoke agent, agent insights, evaluate agent, batch eval, continuous eval, continuous monitoring, agent CI/CD, optimize prompt, improve prompt, optimize agent instructions, Agent Optimizer scaffold, dataset curation from traces, deploy model, model fine-tuning (SFT/DPO/RFT), Foundry project, RBAC, role assignment, permissions, quota, capacity, region, deployment failure, AI Services, create Foundry resource, knowledge index, customize deployment, onboard, availability, training-data, grader, distillation, large file upload. DO NOT USE FOR: Azure Functions, App Service, general Azure deploy (use azure-deploy), general Azure prep (use azure
azure-diagnostics
microsoft/azure-skills
Debug Azure production issues on Azure using AppLens, Azure Monitor, resource health, and safe triage. WHEN: debug production issues, troubleshoot app service, app service high CPU, app service deployment failure, troubleshoot container apps, container app 503 or target port mismatch, troubleshoot functions, function telemetry missing or stopped after a config/connection-string change, troubleshoot AKS, VM RDP, Linux SSH, VM black screen, can't connect to VM, reset VM password, NSG or firewall blocking, kubectl cannot connect, kube-system/CoreDNS failures, pod pending, crashloop, node not ready, upgrade failures, analyze logs, KQL, insights, image pull failures, cold start issues, health probe failures, resource health, root cause of errors, troubleshoot event hubs, troubleshoot service bus, messaging SDK error, AMQP connection failure, message lock lost, lock renewal during long-running processing, service bus dead letter.
azure-prepare
microsoft/azure-skills
Prepare azd-based Azure projects for deployment: generates azure.yaml, infrastructure (Bicep/Terraform), and Dockerfiles for the Azure Developer CLI (azd) workflow. USE ONLY when the user explicitly wants to use azd as the deployment tool, or the project already has an azure.yaml file. DO NOT USE FOR: non-azd deployments, Python App Service code-only deploys (use python-appservice-deploy), or cross-cloud migration (use azure-cloud-migrate). WHEN: prepare app for azd, create azure.yaml, set up azd infrastructure, modernize app for Azure with azd, deploy with azd, function app, timer trigger, service bus trigger, event-driven function, managed identity, generate Bicep, generate Terraform, create and deploy to Azure.
azure-ai
microsoft/azure-skills
Use for Azure AI: Search, Speech, OpenAI, Document Intelligence. Helps with search, vector/hybrid search, speech-to-text, text-to-speech, transcription, OCR. WHEN: AI Search, query search, vector search, hybrid search, semantic search, speech-to-text, text-to-speech, transcribe, OCR, convert text to speech.
azure-deploy
microsoft/azure-skills
Execute Azure deployments for ALREADY-PREPARED applications that have existing .azure/deployment-plan.md and infrastructure files. DO NOT use this skill when the user asks to CREATE a new application — use azure-prepare instead. This skill runs azd up, azd deploy, terraform apply, and az deployment commands with built-in error recovery. Requires .azure/deployment-plan.md from azure-prepare and validated status from azure-validate. WHEN: "run azd up", "run azd deploy", "execute deployment", "push to production", "push to cloud", "go live", "ship it", "bicep deploy", "terraform apply", "publish to Azure", "launch on Azure". DO NOT USE WHEN: "create and deploy", "build and deploy", "create a new app", "set up infrastructure", "create and deploy to Azure using Terraform" — use azure-prepare for these.
azure-validate
microsoft/azure-skills
Pre-deployment validation for Azure readiness. Run deep checks on configuration, infrastructure (Bicep or Terraform), RBAC role assignments, managed identity permissions, and prerequisites before deploying. WHEN: validate my app, check deployment readiness, run preflight checks, verify configuration, check if ready to deploy, validate azure.yaml, validate Bicep, test before deploying, troubleshoot deployment errors, validate Azure Functions, validate function app, validate serverless deployment, verify RBAC roles, check role assignments, review managed identity permissions, what-if analysis, validate Container Apps deployment.