Azure Resource Lookup logo

Azure Resource Lookup

OrganizationPopular
microsoft
azure-resource-lookup

List, find, and show Azure resources across subscriptions or resource groups. Handles prompts like "list the websites in my subscription", "list my web apps", "show my app services", "list virtual machines", "list my VMs", "show storage accounts", "find container apps", and "what resources do I have". USE FOR: list websites, list web apps, list app services, show websites in subscription, resource inventory, find resources by tag, tag analysis, orphaned resource discovery (not for cost analysis), unattached disks, count resources by type, cross-subscription lookup, and Azure Resource Graph queries. DO NOT USE FOR: deploying/changing resources (use azure-deploy), cost optimization (use azure-cost), or non-Azure clouds.

Overview

Publishermicrosoft
Repositoryazure-skills
Skill nameazure-resource-lookup
Stars
1.5K
Forks
246
Bundled files
1
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.

  • 1 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 Resource Lookup 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-resource-lookup .claude/skills/azure-resource-lookup
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Azure Resource Lookup 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 Resource Lookup 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 Resource Lookup 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 Resource Lookup

List, find, and discover Azure resources of any type across subscriptions and resource groups. Use Azure Resource Graph (ARG) for fast, cross-cutting queries when dedicated MCP tools don't cover the resource type.

When to Use This Skill

Use this skill when the user wants to:

  • List resources of any type (VMs, web apps, storage accounts, container apps, databases, etc.)
  • Show resources in a specific subscription or resource group
  • Query resources across multiple subscriptions or resource types
  • Find orphaned resources (unattached disks, unused NICs, idle IPs)
  • Discover resources missing required tags or configurations
  • Get a resource inventory spanning multiple types
  • Find resources in a specific state (unhealthy, failed provisioning, stopped)
  • Answer "what resources do I have?" or "show me my Azure resources"
  • List web apps, websites, or App Services

⚠️ Warning: App Service / Web Apps have no dedicated MCP list command. Prompts like "list websites", "list web apps", or "list app services" must route through this skill to use Azure Resource Graph.

💡 Tip: For single-resource-type queries, first check if a dedicated MCP tool can handle it (see routing table below). If none exists, use Azure Resource Graph.

Quick Reference

PropertyValue
Query LanguageKQL (Kusto Query Language subset)
CLI Commandaz graph query -q "<KQL>" -o table
Extensionaz extension add --name resource-graph
MCP Toolextension_cli_generate with intent for az graph query
Best ForCross-subscription queries, orphaned resources, tag audits

MCP Tools

ToolPurposeWhen to Use
extension_cli_generateGenerate az graph query commandsPrimary tool — generate ARG queries from user intent
mcp_azure_mcp_subscription_listList available subscriptionsDiscover subscription scope before querying
mcp_azure_mcp_group_listList resource groupsNarrow query scope

Workflow

Step 1: Check for a Dedicated MCP Tool

For single-resource-type queries, check if a dedicated MCP tool can handle it:

Resource TypeMCP ToolCoverage
Virtual Machinescompute✅ Full — list, details, sizes
Storage Accountsstorage✅ Full — accounts, blobs, tables
Cosmos DBcosmos✅ Full — accounts, databases, queries
Key Vaultkeyvault⚠️ Partial — secrets/keys only, no vault listing
SQL Databasessql⚠️ Partial — requires resource group name
Container Registriesacr✅ Full — list registries
Kubernetes (AKS)aks✅ Full — clusters, node pools
App Service / Web Appsappservice❌ No list command — use ARG
Container Apps❌ No MCP tool — use ARG
Event Hubseventhubs✅ Full — namespaces, hubs
Service Busservicebus✅ Full — queues, topics

If a dedicated tool is available with full coverage, use it. Otherwise proceed to Step 2.

Step 2: Generate the ARG Query

Use extension_cli_generate to build the az graph query command:

yaml
mcp_azure_mcp_extension_cli_generate
  intent: "query Azure Resource Graph to <user's request>"
  cli-type: "az"

See Azure Resource Graph Query Patterns for common KQL patterns.

Step 3: Execute and Format Results

Run the generated command. Use --query (JMESPath) to shape output:

bash
az graph query -q "<KQL>" --query "data[].{name:name, type:type, rg:resourceGroup}" -o table

Use --first N to limit results. Use --subscriptions to scope.

Error Handling

ErrorCauseFix
resource-graph extension not foundExtension not installedaz extension add --name resource-graph
AuthorizationFailedNo read access to subscriptionCheck RBAC — need Reader role
BadRequest on queryInvalid KQL syntaxVerify table/column names; use =~ for case-insensitive type matching
Empty resultsNo matching resources or wrong scopeCheck --subscriptions flag; verify resource type spelling

Constraints

  • Always use =~ for case-insensitive type matching (types are lowercase)
  • Always scope queries with --subscriptions or --first for large tenants
  • Prefer dedicated MCP tools for single-resource-type queries
  • Never use ARG for real-time monitoring (data has slight delay)
  • Never attempt mutations through ARG (read-only)

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 Resource Lookup AI skill do?

List, find, and show Azure resources across subscriptions or resource groups. Handles prompts like "list the websites in my subscription", "list my web apps", "show my app services", "list virtual machines", "list my VMs", "show storage accounts", "find container apps", and "what resources do I have". USE FOR: list websites, list web apps, list app services, show websites in subscription, resource inventory, find resources by tag, tag analysis, orphaned resource discovery (not for cost analysis), unattached disks, count resources by type, cross-subscription lookup, and Azure Resource Graph...

Why use Azure Resource Lookup on TypingMind?

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

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

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 Resource Lookup?

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

Is the Azure Resource Lookup 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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