Azure-Well-Architected-Review
Azure-Well-Architected-Review is an code AI skill with a core value of Perform an Azure Well-Architected Framework review of the current workload IaC and architecture, generating findings and GitHub issues for improvements. It
helps developers solve real-world problems in the code domain, boosting
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Perform an Azure Well-Architected Framework review of the current workload IaC and architecture, generating findings and GitHub issues for improvements.
Quick Facts
mkdir -p ./skills/azure-well-architected-review && curl -sfL https://raw.githubusercontent.com/github/awesome-copilot/main/skills/azure-well-architected-review/SKILL.md -o ./skills/azure-well-architected-review/SKILL.md Run in terminal / PowerShell. Requires curl (Unix) or PowerShell 5+ (Windows).
Skill Content
# Azure Well-Architected Review
This workflow performs a structured Azure Well-Architected Framework (WAF) review against your workload's IaC files and deployed infrastructure. It identifies risks across all 5 WAF pillars and creates GitHub issues to track remediation.
Prerequisites
- Azure CLI (`az`) configured and authenticated
- IaC files present in the repository (Bicep, Terraform, or ARM templates)
- GitHub MCP server configured and authenticated
Workflow Steps
Step 1: Load Well-Architected Framework Reference
Fetch current Azure WAF best practices:
- `https://learn.microsoft.com/en-us/azure/well-architected/`
- Service guides for the Azure services in use (`https://learn.microsoft.com/en-us/azure/well-architected/service-guides/`)
- Workload-specific guidance relevant to the workload type (SaaS, mission-critical, AI, etc.)
If the `microsoft.docs.mcp` MCP server is available, use it to query the latest pillar checklists and service-specific recommendations.
Step 2: Discover IaC & Architecture
Establish the review scope, then inventory both the code and the live environment:
1. **Confirm the Azure scope**: Ask the user which subscription(s)/resource group(s) are in scope, or infer them from IaC parameters and confirm.
2. **Scan the repository for IaC files**:
- Bicep: `**/*.bicep`, `bicepconfig.json`
- Terraform: `**/*.tf` (azurerm/azapi providers)
- ARM templates: `**/azuredeploy*.json`, `**/*.template.json`, files with `$schema` containing `deploymentTemplate`
3. **Inventory live resources** (always, even when IaC exists): `az resource list --resource-group <rg> --output json` (or subscription-wide), plus targeted `az <service> show` calls for configuration details the pillar checks need.
4. **Compare IaC with live inventory**: Flag drift — resources present in Azure but absent from IaC (portal-created), resources defined in IaC but not deployed, and configuration mismatches. Record drift findings for Step 3 (they typically map to the Operational Excellence pillar).
Identify key Azure services in use (compute, data, networking, security, observability) and generate a Mermaid architecture diagram.
Step 3: Pillar-by-Pillar Review
#### Pillar 1: Reliability
- [ ] Availability zones enabled for zonal services (VMs, VMSS, AKS node pools, App Service, SQL, Storage ZRS)
- [ ] Production SKUs support the required SLA (no Basic/Free tiers on critical paths)
- [ ] Azure SQL / Cosmos DB backup and point-in-time restore configured with appropriate retention
- [ ] Geo-redundancy configured where RPO requires it (GRS/RA-GRS storage, SQL failover groups, Cosmos DB multi-region)
- [ ] Autoscale rules configured for App Service plans, VMSS, AKS (no fixed single instance for production)
- [ ] Health probes configured on Load Balancer / Application Gateway / Front Door backends
- [ ] Dead-lettering enabled for Service Bus queues/subscriptions and Event Grid subscriptions
- [ ] Retry policies with exponential backoff implemented for transient fault handling
- [ ] Disaster recovery plan defined (documented RTO/RPO, tested failover)
#### Pillar 2: Security
- [ ] Managed identities used instead of service principals with secrets or connection strings
- [ ] No hardcoded credentials, keys, or connection strings in IaC or code
- [ ] Secrets stored in Azure Key Vault with RBAC authorization (not access policies)
- [ ] Storage accounts deny public blob access and disallow shared key access where possible
- [ ] Private endpoints (or at minimum service endpoints + firewall rules) for PaaS data services
- [ ] NSGs restrict inbound traffic to minimum required ports/CIDRs (no `*` → `*` allow rules)
- [ ] TLS 1.2+ enforced on all endpoints (`minimumTlsVersion`, `httpsOnly`)
- [ ] Azure RBAC follows least privilege (no Owner/Contributor at subscription scope for workload identities)
- [ ] Microsoft Defender for Cloud enabled on relevant resource types (`az security pricing list`)
- [ ] Azure WAF (Application Gateway o
🎯 Best For
- Engineering teams doing code reviews
- Open source maintainers
- Claude users
- GitHub Copilot users
- Software engineers
💡 Use Cases
- Reviewing pull requests for security vulnerabilities
- Checking code style consistency
- Code quality improvement
- Best practice enforcement
📖 How to Use This Skill
- 1
Install the Skill
Copy the install command from the Terminal tab and run it. The SKILL.md file downloads to your local skills directory.
- 2
Load into Your AI Assistant
Open Claude or GitHub Copilot and reference the skill. Paste the SKILL.md content or use the system prompt tab.
- 3
Apply Azure-Well-Architected-Review to Your Work
Open your project in the AI assistant and ask it to apply the skill. Start with a small module to verify the output quality.
- 4
Review and Refine
Review AI suggestions before committing. Run tests, check for regressions, and iterate on the skill output.
❓ Frequently Asked Questions
Does this skill check for OWASP Top 10?
Security-focused review skills often include OWASP checks. Check the skill content for specific vulnerability categories covered.
Is Azure-Well-Architected-Review compatible with Cursor and VS Code?
Yes — this skill works with any AI coding assistant including Cursor, VS Code with Copilot, and JetBrains IDEs.
Do I need specific dependencies for Azure-Well-Architected-Review?
Check the install command and Works With section. Most code skills only require the AI assistant and your codebase.
How do I install Azure-Well-Architected-Review?
Copy the install command from the Terminal tab and run it. The skill downloads to ./skills/azure-well-architected-review/SKILL.md, ready to use.
Can I customize this skill for my team?
Absolutely. Edit the SKILL.md file to add team-specific instructions, examples, or workflows.
⚠️ Common Mistakes to Avoid
Blindly accepting AI suggestions
Always verify AI-generated review comments. Some suggestions may not apply to your specific codebase conventions.
Skipping validation
Always test AI-generated code changes, even for simple refactors.
Missing dependency updates
Check if the skill requires updated dependencies or new packages.