Azure Upgrade

OrganizationPopular

microsoft

azure-upgrade

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).

Overview

Publisher	microsoft
Repository	`azure-skills`
Skill name	`azure-upgrade`
Stars	1.5K
Forks	246
Bundled files	29
License	MIT
Links	Skill source Repository

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.
29 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 Upgrade AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
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.

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-upgrade .claude/skills/azure-upgrade

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Azure Upgrade 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 Upgrade 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 Upgrade 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 Upgrade

This skill handles assessment and automated upgrades of existing Azure workloads from one Azure service, hosting plan, or SKU to another — all within Azure. This includes plan/tier upgrades (e.g. Consumption → Flex Consumption), cross-service migrations (e.g. App Service → Container Apps), and SKU changes. It also covers Azure SDK for Java source-code modernization (e.g. legacy Java com.microsoft.azure.* → modern com.azure.*). This is NOT for cross-cloud migration — use azure-cloud-migrate for that.

Triggers

User Intent	Example Prompts
Upgrade Azure Functions plan	"Upgrade my function app from Consumption to Flex Consumption"
Change hosting tier	"Move my function app to a better plan"
Assess upgrade readiness	"Is my function app ready for Flex Consumption?"
Automate plan migration	"Automate the steps to upgrade my Functions plan"
Modernize legacy Azure Java SDK	"Migrate legacy Azure SDKs for Java", "Upgrade legacy Azure Java SDK", "Migrate my Java project from com.microsoft.azure to com.azure"
Migrate Azure Cache for Redis (ACR/OSS) to Azure Managed Redis (AMR)	"Migrate my Redis cache to AMR", "ACR to AMR", "OSS to AMR", "Upgrade my Premium P2 cache to Managed Redis", "Pick an AMR SKU", "Convert my Redis IaC template to AMR"
Migrate Azure Cache for Redis Enterprise (ACRE) to Azure Managed Redis (AMR)	"Migrate my Enterprise_E10 cache to AMR", "ACRE to AMR", "Update my ACRE IaC template for AMR", "Migrate EnterpriseFlash to AMR", "Migrate my geo-replicated Enterprise Redis"

Rules

Follow phases sequentially — do not skip
Generate an assessment before any upgrade operations
Load the scenario reference and follow its rules
Use mcp_azure_mcp_get_azure_bestpractices and mcp_azure_mcp_documentation MCP tools
Destructive actions require ask_user — global-rules
Always confirm the target plan/SKU with the user before proceeding
Never delete or stop the original app without explicit user confirmation
All automation scripts must be idempotent and resumable

Upgrade Scenarios

Source	Target	Reference
Azure Functions Consumption Plan	Azure Functions Flex Consumption Plan	consumption-to-flex.md
Legacy Azure Java SDK (`com.microsoft.azure.*`)	Modern Azure Java SDK (`com.azure.*`)	languages/java/README.md
Azure Cache for Redis (ACR/OSS) Basic/Standard/Premium	Azure Managed Redis (AMR)	services/redis/redis-to-amr.md
Azure Cache for Redis Enterprise (ACRE) / Enterprise Flash	Azure Managed Redis (AMR)	services/redis/redis-to-amr.md

SDK upgrade scenarios (e.g. Java legacy → modern) run a source-code modernization flow that is distinct from Azure service/plan/SKU upgrades: follow the scenario reference, not the Steps below.

No matching scenario? Use mcp_azure_mcp_documentation and mcp_azure_mcp_get_azure_bestpractices tools to research the upgrade path.

MCP Tools

Tool	Purpose
`mcp_azure_mcp_get_azure_bestpractices`	Get Azure best practices for the target service
`mcp_azure_mcp_documentation`	Look up Azure documentation for upgrade scenarios
`mcp_azure_mcp_appservice`	Query App Service and Functions plan details
`mcp_azure_mcp_applicationinsights`	Verify monitoring configuration

Steps

Identify — Determine the source and target Azure plans/SKUs. Ask user to confirm.
Assess — Analyze existing app for upgrade readiness → load scenario reference (e.g., consumption-to-flex.md)
Pre-migrate — Collect settings, identities, configs from the existing app
Upgrade — Execute the automated upgrade steps (create new resources, migrate settings, deploy code)
Validate — Hit the function app default URL to confirm the app is reachable, then verify endpoints and monitoring
Ask User — "Upgrade complete. Would you like to verify performance, clean up the old app, or update your IaC?"
Hand off to azure-validate for deep validation or azure-deploy for CI/CD setup

Track progress in upgrade-status.md inside the workspace root.

References

Global Rules
Workflow Details
Functions
Redis
- Redis (ACR or ACRE) to AMR Migration — routes to dedicated amr-migration-skill (ACR/OSS) or acre-to-amr-migration-skill (Enterprise)
Java SDK Migration Templates

After upgrade is validated, hand off to:

azure-validate — for thorough post-upgrade validation
azure-deploy — if the user wants to set up CI/CD for the new app

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 Upgrade AI skill do?

Why use Azure Upgrade on TypingMind?

Because you install it once and use it with any model. Azure Upgrade 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 Upgrade in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/microsoft/azure-skills/tree/main/skills/azure-upgrade. 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 Upgrade?

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 Upgrade?

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

Is the Azure Upgrade 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.

View all

Finishing A Development Branch

obra

CommunityPopular

Use when implementation is complete, all tests pass, and you need to decide how to integrate the work

Receiving Code Review

obra

CommunityPopular

Use when receiving code review feedback, before implementing suggestions, especially if feedback seems unclear or technically questionable - requires technical rigor and verification, not performative…

Requesting Code Review

obra

CommunityPopular

Use when completing tasks, implementing major features, or before merging to verify work meets requirements

Systematic Debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes

Azure Upgrade

Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Azure Upgrade

Triggers

Rules

Upgrade Scenarios

MCP Tools

Steps

References

Next

Bundled files

Frequently asked questions

Set up your own AI workspace now

Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Azure Upgrade

Triggers

Rules

Upgrade Scenarios

MCP Tools

Steps

References

Next

Bundled files

Frequently asked questions

Related AI Skills

Set up your own AI workspace now