Loading skill
Install any skill in seconds. Free to start, no credit card required.
Get Started Free →github/azure-well-architected-review
Perform an Azure Well-Architected Framework review of the current workload IaC and architecture, generating findings and GitHub issues for improvements.
Passed 19 of 22 test cases with the skill, and 9 of 22 without it.
and 11 more in the full report
10 fixed9 passed either way3 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 10 test cases the skill fixed. Same model, same prompt, with and without the skill.
When drafting remediation details for a WAF finding in a GitHub issue, what dual remediation options must be provided in the issue description?
| Checked | Without skill | With skill |
|---|---|---|
| The response requires IaC code snippets as the preferred remediation format. | Missed | Passed |
| The response requires Azure CLI commands as the fallback remediation format. | Missed | Passed |
The instructions your model reads when the skill loads.
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.
az) configured and authenticatedFetch current Azure WAF best practices:
https://learn.microsoft.com/en-us/azure/well-architected/https://learn.microsoft.com/en-us/azure/well-architected/service-guides/)If the microsoft.docs.mcp MCP server is available, use it to query the latest pillar checklists and service-specific recommendations.
Establish the review scope, then inventory both the code and the live environment:
**/*.bicep, bicepconfig.json**/*.tf (azurerm/azapi providers)**/azuredeploy*.json, **/*.template.json, files with $schema containing deploymentTemplateaz resource list --resource-group <rg> --output json (or subscription-wide), plus targeted az <service> show calls for configuration details the pillar checks need.Identify key Azure services in use (compute, data, networking, security, observability) and generate a Mermaid architecture diagram.
test cases passed, vs 9 / 22 without
Published skills whose descriptions closely match this one, with their headline benchmark lift.
More skills from the same source and nearby in the registry, with their headline benchmark lift.