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From azure
Assesses and migrates cross-cloud workloads to Azure, generating reports and converting code from AWS Lambda to Azure Functions or similar using MCP tools.
How this skill is triggered — by the user, by Claude, or both
Slash command
/azure:azure-cloud-migrateThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
> This skill handles **assessment and code migration** of existing cloud workloads to Azure.
references/services/functions/assessment.mdreferences/services/functions/code-migration.mdreferences/services/functions/global-rules.mdreferences/services/functions/lambda-to-functions.mdreferences/services/functions/runtimes/csharp.mdreferences/services/functions/runtimes/java.mdreferences/services/functions/runtimes/javascript.mdreferences/services/functions/runtimes/powershell.mdreferences/services/functions/runtimes/python.mdreferences/services/functions/runtimes/typescript.mdreferences/workflow-details.mdThis 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 |
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.
npx claudepluginhub joshuarweaver/cascade-code-devops-misc-1 --plugin microsoft-github-copilot-for-azure-3Assesses and migrates workloads from AWS, GCP to Azure, generating reports and code conversion guidance for Lambda to Functions and similar.
Maps Azure services to AWS equivalents, flags migration gotchas (identity, Cosmos DB, Synapse), and guides assessment-to-execution planning.
Migrates GCP workloads to AWS including AI/agentic workloads. Runs a 6-phase process: discover GCP resources, clarify requirements, design AWS architecture, estimate costs, generate artifacts, and collect feedback. Includes AI provider migration guidance (e.g., OpenAI to Bedrock).