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Skills/Backend & APIs
microsoft avatar

Azure Cloud Migrate

microsoft/github-copilot-for-azureOfficial

Handles the full assessment and code conversion workflow when you're moving workloads from AWS, GCP, or Heroku into Azure. You point it at Lambda functions, Beanstalk apps, or Kubernetes manifests, and it generates a migration report, rewrites your code for Functions or Container Apps, and outputs everything to a separate directory without touching your source. The scenario matrix is comprehensive (Lambda to Functions, Fargate to Container Apps, even Spring Boot migrations), and it enforces a phase-locked workflow so you can't skip the assessment step. One thing to like is the explicit rule about scanning for hardcoded service URLs in Kubernetes apps, since those DNS names won't resolve in Azure. Hands off to azure-prepare when it's time to deploy.

GitHub stars
217
last updated
Jun 11, 2026
View on GitHubSave

Install

$ npx -y skills add microsoft/github-copilot-for-azure --skill azure-cloud-migrate --agent claude-code

Installs into .claude/skills of the current project.

Files

Azure Cloud Migrate

This skill handles assessment and code migration of existing cloud workloads to Azure.

Rules

  1. Follow phases sequentially — do not skip
  2. Generate assessment before any code migration
  3. Load the scenario reference and follow its rules
  4. Use mcp_azure_mcp_get_azure_bestpractices and mcp_azure_mcp_documentation MCP tools
  5. Use the latest supported runtime for the target service
  6. Destructive actions require ask_user — functions global-rules | app-service global-rules
  7. 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
  8. 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

SourceTargetReference
AWS LambdaAzure Functionslambda-to-functions.md (assessment, code-migration)
AWS Elastic BeanstalkAzure App Servicebeanstalk-to-app-service.md
HerokuAzure App Serviceheroku-to-app-service.md
Google App EngineAzure App Serviceapp-engine-to-app-service.md
AWS Fargate (ECS)Azure Container Appsfargate-to-container-apps.md (assessment, deployment)
Kubernetes (GKE/EKS/Self-hosted)Azure Container Appsk8s-to-container-apps.md
GCP Cloud RunAzure Container Appscloudrun-to-container-apps.md
Spring Boot (Azure Spring Apps/VMs)Azure Container Appsspring-apps-to-aca.md

No matching scenario? Use mcp_azure_mcp_documentation and mcp_azure_mcp_get_azure_bestpractices tools.

Output Directory

All output goes to <workspace-root-basename>-azure/ at workspace root, where <workspace-root-basename> is the name of the top-level workspace directory itself (NOT a subdirectory within it). Never modify the source directory.

Steps

  1. Create <workspace-root-basename>-azure/ at workspace root
  2. Assess — Analyze source, map services, generate report using the scenario-specific assessment guide → functions assessment | app-service assessment
  3. Migrate — Convert code/config using the scenario-specific migration guide → functions code-migration | app-service code-migration
  4. Ask User — "Migration complete. Test locally or deploy to Azure?"
  5. Hand off to azure-prepare for infrastructure, testing, and deployment

Track progress in migration-status.md — see workflow-details.md.

SKILL.md on GitHub

Sponsors

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Details

Repository
github.com/microsoft/github-copilot-for-azure
Categories
Backend & APIs, DevOps & CI/CD, Git & Pull Requests, AI & Agent Building, Marketing & SEO, Cloud & Infrastructure, Java & JVM, Game Development
First seen
Jun 11, 2026

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