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Azure Cloud Migrate

OrganizationPopular
microsoft
azure-cloud-migrate

Assess and migrate cross-cloud workloads to Azure with reports and code conversion. Supports Lambda→Functions, Beanstalk/Heroku/App Engine→App Service, Fargate/Kubernetes/Cloud Run/Spring Boot→Container Apps. WHEN: migrate Lambda to Functions, AWS to Azure, migrate Beanstalk, migrate Heroku, migrate App Engine, Cloud Run migration, Fargate to ACA, ECS/Kubernetes/GKE/EKS to Container Apps, Spring Boot to Container Apps, cross-cloud migration.

Overview

Publishermicrosoft
Repositoryazure-skills
Skill nameazure-cloud-migrate
Stars
1.5K
Forks
246
Bundled files
30
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 30 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by microsoft on GitHub. Read the source before you install it.

Installation

Install the Azure Cloud Migrate AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/microsoft/azure-skills.git /tmp/azure-skills
mkdir -p .claude/skills
cp -r /tmp/azure-skills/skills/azure-cloud-migrate .claude/skills/azure-cloud-migrate
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Azure Cloud Migrate in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Azure Cloud Migrate on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Azure Cloud Migrate is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

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_userfunctions 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.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Azure Cloud Migrate AI skill do?

Assess and migrate cross-cloud workloads to Azure with reports and code conversion. Supports Lambda→Functions, Beanstalk/Heroku/App Engine→App Service, Fargate/Kubernetes/Cloud Run/Spring Boot→Container Apps. WHEN: migrate Lambda to Functions, AWS to Azure, migrate Beanstalk, migrate Heroku, migrate App Engine, Cloud Run migration, Fargate to ACA, ECS/Kubernetes/GKE/EKS to Container Apps, Spring Boot to Container Apps, cross-cloud migration.

Why use Azure Cloud Migrate on TypingMind?

Because you install it once and use it with any model. Azure Cloud Migrate is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Azure Cloud Migrate in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/microsoft/azure-skills/tree/main/skills/azure-cloud-migrate. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Azure Cloud Migrate?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Azure Cloud Migrate?

As many as you like. As long as a model supports skills, you can use Azure Cloud Migrate with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Azure Cloud Migrate AI skill free?

Yes. It is published on GitHub by microsoft under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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