natureco-official/natureco-cli/azure-cloud-migrate

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

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.