.github/plugins/azure-skills/skills/azure-cloud-migrate/SKILL.md
Assess and migrate cross-cloud workloads to Azure with migration reports and code conversion. Supports AWS Lambda→Functions and GCP Cloud Run→Container Apps. WHEN: migrate Lambda to Azure Functions, migrate AWS to Azure, Lambda migration assessment, convert serverless to Azure, migration readiness report, migrate from AWS, migrate from GCP, Cloud Run to Container Apps, Cloud Run migration assessment.
npx skillsauth add microsoft/azure-skills azure-cloud-migrateInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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This skill handles assessment and code migration of existing cloud workloads to Azure.
mcp_azure_mcp_get_bestpractices and mcp_azure_mcp_documentation MCP toolsask_user — global-rules| Source | Target | Reference | |--------|--------|-----------| | AWS Lambda | Azure Functions | lambda-to-functions.md (assessment, code-migration) | | GCP Cloud Run | Azure Container Apps | cloudrun-to-container-apps.md |
No matching scenario? Use
mcp_azure_mcp_documentationandmcp_azure_mcp_get_bestpracticestools.
All output goes to <source-folder>-azure/ at workspace root. Never modify the source directory.
<source-folder>-azure/ at workspace rootTrack progress in migration-status.md — see workflow-details.md.
tools
Deploy, evaluate, fine-tune, and manage Foundry agents end-to-end: Docker build, ACR push, hosted/prompt agent create, batch eval, continuous eval, prompt optimizer, Agent Optimizer scaffold, agent.yaml, dataset curation from traces, model fine-tuning (SFT/DPO/RFT). USE FOR: deploy agent, hosted agent, create agent, add tool to agent, invoke agent, evaluate agent, continuous eval, continuous monitoring, optimize prompt, improve prompt, optimize agent instructions, agent optimizer, deploy model, Foundry project, RBAC, role assignment, permissions, quota, capacity, region, troubleshoot agent, deployment failure, AI Services, create Foundry resource, provision, knowledge index, customize deployment, onboard, availability, fine-tune, SFT, DPO, RFT, training-data, grader, distillation, fine-tuned model, large file upload. DO NOT USE FOR: Azure Functions, App Service, general Azure deploy (use azure-deploy), general Azure prep (use azure-prepare).
testing
Architect and provision enterprise Azure infrastructure from workload descriptions. For cloud architects and platform engineers planning networking, identity, security, compliance, and multi-resource topologies with WAF alignment. Generates Bicep or Terraform directly (no azd). WHEN: 'plan Azure infrastructure', 'architect Azure landing zone', 'design hub-spoke network', 'plan multi-region DR topology', 'set up VNets firewalls and private endpoints', 'subscription-scope Bicep deployment', 'Azure Backup for VM workloads'. PREFER azure-prepare FOR app-centric workflows.
testing
Azure cost management: query costs, forecast spending, optimize to reduce waste. WHEN: "Azure costs", "Azure bill", "cost breakdown", "how much am I spending", "forecast spending", "optimize costs", "reduce spending", "orphaned resources", "rightsize VMs", "cost spike", "reduce storage costs", "AKS cost". DO NOT USE FOR: deploying resources, provisioning, diagnostics, or security audits.
development
Assess and upgrade Azure workloads between plans, tiers, or SKUs, or modernize Azure SDK dependencies in source code. WHEN: upgrade Consumption to Flex Consumption, upgrade Azure Functions plan, change hosting plan, function app SKU, migrate App Service to Container Apps, modernize legacy Azure Java SDKs (com.microsoft.azure to com.azure), migrate Azure Cache for Redis (ACR/ACRE) to Azure Managed Redis (AMR).