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/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,

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azure-agent-skills
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Install
$ npx -y skills add MicrosoftDocs/Agent-Skills --skill azure-well-architected --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/azure-well-architected

Context preview

The summary Claude sees to decide when to auto-load this skill.

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,

SKILL.md

azure-well-architected.SKILL.md
name: azure-well-architected
description: 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, AVD, AVS, or mission-critical workloads on Azure, and other Azure Well Architected related development tasks.
compatibility: Requires network access. Uses mcp_microsoftdocs:microsoft_docs_fetch or fetch_webpage to retrieve documentation.
metadata:
  generated_at: "2026-08-09"
  generator: "docs2skills/1.0.0"

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`), use `read_file` with the specified lines. For categories with file links (e.g., `[security.md](security.md)`), use `read_file` on the linked reference file

> **IMPORTANT for Agent**: If `metadata.generated_at` is more than 3 months old, suggest the user pull the latest version from the repository. If `mcp_microsoftdocs` tools are not available, suggest the user install it: [Installation Guide](https://github.com/MicrosoftDocs/mcp/blob/main/README.md)

This skill requires **network access** to fetch documentation content:

  • **Preferred**: Use `mcp_microsoftdocs:microsoft_docs_fetch` with query string `from=learn-agent-skill`. Returns Markdown.
  • **Fallback**: Use `fetch_webpage` with query string `from=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 optimization, reliability, performance, security, and operational excellence in Azure workloads, including CI/CD, monitoring, incident management, and sustainable cloud practices. | | Design Principles | L118-L132 | Design patterns and best practices for cost, reliability, security, performance, operations, sustainability, and mission-critical design across AI, SaaS, AVD, HPC, and other Azure workloads. | | Tradeoffs | L133-L142 | Guidance on weighing cost, reliability, performance, security, and operations tradeoffs in Azure architectures, including regions/AZ choices and cross-pillar design decisions. | | Service Guides | L143-L178 | End-to-end Well-Architected (WAF) guidance for specific Azure services—covering design, networking, security/IAM, monitoring, BCDR, performance, and cost optimization patterns. | | Workload Patterns | L179-L223 | 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 | L224-L235 | 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

| Topic | URL | |-------|-----| | Align Azure resource usage with billing increments | https://learn.microsoft.com/en-us/azure/well-architected/cost-optimization/align-usage-to-billing-increments | | Implement cost data collection and review for Azure workloads | https://learn.microsoft.com/en-us/azure/well-architected/cost-optimization/collect-review-cost-data | | Use consolidation strategies to reduce Azure costs | https://learn.microsoft.com/en-us/azure/well-architected/cost-optimization/consolidation | | Build and maintain a cost model for Azure workloads | https://learn.microsoft.com/en-us/azure/well-architected/cost-optimization/cost-model | | Create a culture of financial responsibility for cloud costs | https://learn.microsoft.com/en-us/azure/well-architected/cost-optimization/create-culture-financial-responsibility | | Negotiate and obtain best provider rates for Azure | https://learn.microsoft.com/en-us/azure/well-architected/cost-optimization/get-best-rates | | Reduce Azure workload costs through code optimization | https://learn.microsoft.com/en-us/azure/well-architected/cost-optimization/optimize-code-costs | | Optimize individual component costs in Azure workloads | https://learn.microsoft.com/en-us/azure/well-architected/cost-optimization/optimize-component-costs | | Optimize Azure data storage and management costs | https://learn.microsoft.com/en-us/azure/well-architected/cost-optimization/optimize-data-costs | | Optimize non-production and production environment costs | https://learn.microsoft.com/en-us/azure/well-architected/cost-optimization/optimize-environment-costs | | Imp

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