Official agent plugin providing skills and MCP server configurations for Azure scenarios.
npx skills add https://github.com/microsoft/azure-skills --skill azure-cost-optimizationInstall this skill with the CLI and start using the SKILL.md workflow in your workspace.
Azure work is not just a code problem. It is a decision problem: which service fits this app, what needs to be validated before deployment, which tools should run, and what guardrails matter. The Azure Skills Plugin packages Azure expertise and MCP-backed execution together so compatible coding agents can do real Azure work instead of giving generic cloud advice.
This plugin ships 20 curated Azure skills that teach an agent how Azure work gets done. They provide workflows, decision trees, and guardrails for scenarios such as:
azure-prepare, azure-validate, and azure-deployazure-diagnostics, azure-observability, and azure-complianceazure-cost-optimization, azure-compute, and azure-resource-visualizerazure-ai, azure-aigateway, azure-storage, azure-kusto, azure-rbac, azure-cloud-migrate, entra-app-registration, and microsoft-foundryThe plugin wires in the Azure MCP Server, which gives your agent 200+ structured tools across 40+ Azure services. That is the execution layer for listing resources, checking prices, querying logs, diagnosing issues, and driving real Azure workflows.
The plugin also includes Foundry MCP for Microsoft Foundry scenarios such as model discovery, model deployment, and agent workflows.
This is not a prompt pack. It is a packaged Azure capability layer:
| Component | What it adds | Examples |
|---|---|---|
| Azure skills | Azure expertise, workflows, and guardrails | Prepare, validate, deploy, diagnostics, cost, AI, RBAC |
| Azure MCP Server | Live Azure tooling | Resource inventory, monitoring, pricing, storage, databases, messaging |
| Foundry MCP | Microsoft Foundry workflows | Model catalog, deployments, agents, evaluations |
The plugin payload lives in .github/plugins/azure-skills/, and the included MCP configuration shows how Azure and Foundry connectivity are wired for compatible hosts.
Before you install, make sure you have:
npx is used to start the MCP servers)az loginazd auth login if you plan to use deployment workflowsAdd the marketplace (first time only):
/plugin marketplace add microsoft/azure-skills
Install the plugin:
/plugin install azure@azure-skills
Update the plugin:
/plugin update azure@azure-skills
Install the Azure MCP extension from the Visual Studio Marketplace:
š Azure MCP Extension
The Azure MCP extension will also install a companion extension that brings the Azure skills into VS Code. Together they configure the Azure MCP Server, Foundry MCP, and the full skills layer automatically.
Note: The skills extension requires Git CLI to be installed on your machine. If you don't have it, ask Copilot to help you install Git for your OS.
Add the marketplace (first time only):
/plugin marketplace add microsoft/azure-skills
Install the plugin:
/plugin install azure@azure-skills
Update:
/plugin marketplace update azure-skills
Install the extension:
gemini extensions install https://github.com/microsoft/azure-skills
You can install the Azure plugin from the Cursor Marketplace or directly from Cursor settings by navigating to Settings > Plugins and searching for "Azure":

Before installing Azure skills in IntelliJ IDEA, ensure you have:
npx available on your PATHYou can verify these prerequisites by running:
npx --version
git --version

Option 1: Install Azure Toolkit For IntelliJ Plugin
Install the Azure Toolkit plugin from the JetBrains Marketplace:
š Azure Toolkit for IntelliJ
Restart IntelliJ IDEA to complete the plugin installation
Install Azure Skills when prompted:

Verify installation by opening the GitHub Copilot chat window and typing:
/skill:azure
This will display all available Azure skills you can now use in your projects.

Option 2: Install Azure Skills manually
Open a terminal or command prompt
Run the following command to install Azure skills globally for GitHub Copilot:
npx skills add https://github.com/microsoft/azure-skills/tree/main/.github/plugins/azure-skills/skills -a github-copilot -g -y
Command explanation:
npx skills add - Uses the skills CLI to add a new skills package-a github-copilot - Specifies the skills are for GitHub Copilot-g - Installs the skills globally (available across all projects)-y - Automatically accepts prompts during installationWait for the installation to complete. You should see confirmation that the Azure skills have been successfully added.
By default, the Azure MCP server connects to the Azure Public Cloud. If you use a sovereign cloud (Azure China Cloud or Azure US Government), you need to configure the MCP server to use the appropriate cloud environment.
After installing the plugin, Azure MCP server should be configured for copilot as well. You can list the configured MCP servers by running /mcp show

Edit the Azure MCP server named azure from plugin:azure to add the --cloud argument. Execute /mcp edit azure. Navigate to the Command section to add the --cloud argument, use AzureChinaCloud to access Azure China Cloud, and use AzureUSGovernment to access Azure US Government Cloud.

Before starting the MCP server, ensure your local CLI tools are authenticated against the correct cloud:
| Cloud | Azure CLI | Azure PowerShell | Azure Developer CLI |
|---|---|---|---|
| China | az cloud set --name AzureChinaCloud && az login |
Connect-AzAccount -Environment AzureChinaCloud |
azd config set cloud.name AzureChinaCloud && azd auth login |
| US Government | az cloud set --name AzureUSGovernment && az login |
Connect-AzAccount -Environment AzureUSGovernment |
azd config set cloud.name AzureUSGovernment && azd auth login |
For more details, see Connect to sovereign clouds in the Azure MCP Server documentation.
After install, try three quick checks.
Ask:
What Azure services would I need to deploy this project?
You should get structured Azure guidance, not just a generic cloud answer.
Ask:
List my Azure resource groups.
You should see a real tool-backed response from your Azure account.
Ask:
What AI models are available in Microsoft Foundry?
You should get a Foundry-backed response rather than a generic summary.
The recommended authentication path is Azure CLI:
az login
If you plan to deploy with azd, also run:
azd auth login
You can also authenticate with service principal credentials:
Bash/Zsh
export AZURE_TENANT_ID="your-tenant-id"
export AZURE_CLIENT_ID="your-client-id"
export AZURE_CLIENT_SECRET="your-client-secret"
PowerShell
$env:AZURE_TENANT_ID = "your-tenant-id"
$env:AZURE_CLIENT_ID = "your-client-id"
$env:AZURE_CLIENT_SECRET = "your-client-secret"
When the agent runs inside Azure, the Azure MCP Server can also use managed identity.
Once the plugin is installed, try prompts like these:
Prepare this app for Azure.Validate my Azure deployment files before I run azd up.Deploy this project to Azure Container Apps.List my Azure storage accounts.Find cost savings across my Azure subscription.Troubleshoot why my container app is failing health probes.What role should I assign to let this managed identity read blobs?What AI models are available in Microsoft Foundry?If you are exploring or customizing the plugin source, the key pieces are:
.github/plugins/azure-skills/skills/ - the Azure skill definitions.github/plugins/azure-skills/.mcp.json - included MCP configuration for Azure and FoundryREADME.md - high-level overview and install guide for the pluginnpx worksaz loginazd auth login for deployment scenariosTo disable Azure MCP telemetry collection, set:
export AZURE_MCP_COLLECT_TELEMETRY=false
This repository is automatically sync'ed from https://github.com/microsoft/GitHub-Copilot-for-Azure. If you would like to contribute to Azure skills, please open PR's there. Thank you!