Assess and migrate cross-cloud workloads to Azure with reports and code conversion. Supports Lambda→Functions, Beanstalk/Heroku/App Engine→App Service,…
Assess and migrate cloud workloads from AWS, GCP, and other providers to Azure services. Supports Lambda-to-Azure Functions migration with dedicated scenario reference and best practices Generates assessment reports mapping source services to Azure equivalents before any code conversion Converts source code to target Azure runtime models, with output isolated in a separate <source-folder>-azure/ directory Requires sequential phase execution: assessment first, then migration, with user confirmation before destructive actions Hands off to azure-prepare skill for infrastructure provisioning, local testing, and deployment workflows Azure Cloud Migrate This skill handles assessment and code migration of existing cloud workloads to Azure. Rules Follow phases sequentially — do not skip Generate assessment before any code migration Load the scenario reference and follow its rules Use mcp_azure_mcp_get_azure_bestpractices and mcp_azure_mcp_documentation MCP tools Use the latest supported runtime for the target service Destructive actions require ask_user — functions global-rules | app-service global-rules Report progress to user — During long-running operations (deployments, image pushes), provide resource-level status updates so the user is never left waiting without feedback — see workflow-details.md Audit service discovery in app code — Kubernetes DNS names (e.g., http://order-service:3001) do not resolve in Container Apps. During assessment, scan source code for hardcoded hostnames/ports in HTTP clients and flag them for env-var-driven URL injection Migration Scenarios
don't have the plugin yet? install it then click "run inline in claude" again.