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Azure Quotas

OrganizationPopular
microsoft
azure-quotas

Check/manage Azure quotas and usage across providers. For deployment planning, capacity validation, region selection. WHEN: "check quotas", "service limits", "current usage", "request quota increase", "quota exceeded", "validate capacity", "regional availability", "provisioning limits", "vCPU limit", "how many vCPUs available in my subscription".

Overview

Publishermicrosoft
Repositoryazure-skills
Skill nameazure-quotas
Stars
1.5K
Forks
246
Bundled files
4
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.

  • 4 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 Quotas 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-quotas .claude/skills/azure-quotas
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Azure Quotas 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 Quotas 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 Quotas 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 Quotas - Service Limits & Capacity Management

AUTHORITATIVE GUIDANCE — Follow these instructions exactly for quota management and capacity validation.

Overview

What are Azure Quotas?

Azure quotas (also called service limits) are the maximum number of resources you can deploy in a subscription. Quotas:

  • Prevent accidental over-provisioning
  • Ensure fair resource distribution across Azure
  • Represent available capacity in each region
  • Can be increased (adjustable quotas) or are fixed (non-adjustable)

Key Concept: Quotas = Resource Availability

If you don't have quota, you cannot deploy resources. Always check quotas when planning deployments or selecting regions.

When to Use This Skill

Invoke this skill when:

  • Planning a new deployment - Validate capacity before deployment
  • Selecting an Azure region - Compare quota availability across regions
  • Troubleshooting quota exceeded errors - Check current usage vs limits
  • Requesting quota increases - Submit increase requests via CLI or Portal
  • Comparing regional capacity - Find regions with available quota
  • Validating provisioning limits - Ensure deployment won't exceed quotas

Quick Reference

PropertyDetails
Primary ToolAzure CLI (az quota) - USE THIS FIRST, ALWAYS
Extension Requiredaz extension add --name quota (MUST install first)
Key Commandsaz quota list, az quota show, az quota usage list, az quota usage show
Complete CLI Referencecommands.md
Azure PortalMy quotas - Use only as fallback
REST APIMicrosoft.Quota provider - Unreliable, do NOT use first
MCP Serverazure-quota MCP server — NEVER use this. It is unreliable. Always use az quota CLI instead.
Required PermissionReader (view) or Quota Request Operator (manage)

⚠️ ALWAYS USE CLI FIRST

REST API and Portal can show misleading "No Limit" values — this does not mean unlimited capacity. It means the quota API doesn't support that resource type. Always start with az quota commands; fall back to Azure service limits docs if CLI returns BadRequest.

For complete CLI reference, see commands.md.

Quota Types

TypeAdjustabilityApprovalExamples
AdjustableCan increase via Portal/CLI/APIUsually auto-approvedVM vCPUs, Public IPs, Storage accounts
Non-adjustableFixed limitsCannot be changedSubscription-wide hard limits

Important: Requesting quota increases is free. You only pay for resources you actually use, not for quota allocation.

Understanding Resource Name Mapping

⚠️ CRITICAL: There is NO 1:1 mapping between ARM resource types and quota resource names.

Example Mappings

ARM Resource TypeQuota Resource Name
Microsoft.App/managedEnvironmentsManagedEnvironmentCount
Microsoft.Compute/virtualMachinesstandardDSv3Family, cores, virtualMachines
Microsoft.Network/publicIPAddressesPublicIPAddresses, IPv4StandardSkuPublicIpAddresses

Discovery Workflow

Never assume the quota resource name from the ARM type. Always use this workflow:

  1. List all quotas for the resource provider:

    bash
    az quota list --scope /subscriptions/<id>/providers/<ProviderNamespace>/locations/<region>
  2. Match by localizedValue (human-readable description) to find the relevant quota

  3. Use the name field (not ARM resource type) in subsequent commands:

    bash
    az quota show --resource-name ManagedEnvironmentCount --scope ...
    az quota usage show --resource-name ManagedEnvironmentCount --scope ...

📖 Detailed mapping examples and workflow: See commands.md - Resource Name Mapping

Scripts

Pre-built scripts handle quota extension installation, usage queries, and capacity calculation. Use these instead of constructing commands manually. A single call returns limits, usage, and available capacity.

ScriptPurposeUsage
scripts/check-quota.ps1Returns limit, usage, and available capacity for all quotas (or a single quota when resource name is provided)Primary script for quota checks
scripts/check-quota.shSame as above (bash)Primary script for quota checks

Core Workflows

Workflow 1: Check Quota for a Specific Resource

Scenario: Verify quota limits and current usage before deployment

Run the script with the resource provider and region. It returns a table of all quotas with their limit, current usage, and available capacity in a single call:

powershell
.\scripts\check-quota.ps1 -ResourceProvider <provider> -Region <region>
bash
./scripts/check-quota.sh <provider> <region>

To check a single resource, add the resource name:

powershell
.\scripts\check-quota.ps1 -ResourceProvider <provider> -Region <region> -ResourceName <resource-name>
bash
./scripts/check-quota.sh <provider> <region> <resource-name>

Example:

powershell
.\scripts\check-quota.ps1 -ResourceProvider Microsoft.Compute -Region eastus

Example Output:

ResourceRegionLimitUsageAvailable
coreseastus1005050
standardDSv3Familyeastus35050300
virtualMachineseastus25000524995
...............

📖 See also: az quota show, az quota usage show

Workflow 2: Compare Quotas Across Regions

Scenario: Find the best region for deployment based on available capacity

bash
# Define candidate regions
REGIONS=("eastus" "eastus2" "westus2" "centralus")
VM_FAMILY="standardDSv3Family"
SUBSCRIPTION_ID="<subscription-id>"

# Check quota availability across regions
for region in "${REGIONS[@]}"; do
  echo "=== Checking $region ==="
  
  # Get limit
  LIMIT=$(az quota show \
    --resource-name $VM_FAMILY \
    --scope "/subscriptions/$SUBSCRIPTION_ID/providers/Microsoft.Compute/locations/$region" \
    --query "properties.limit.value" -o tsv)
  
  # Get current usage
  USAGE=$(az quota usage show \
    --resource-name $VM_FAMILY \
    --scope "/subscriptions/$SUBSCRIPTION_ID/providers/Microsoft.Compute/locations/$region" \
    --query "properties.usages.value" -o tsv)
  
  # Calculate available
  AVAILABLE=$((LIMIT - USAGE))
  
  echo "Region: $region | Limit: $LIMIT | Usage: $USAGE | Available: $AVAILABLE"
done

📖 See also: commands.md for full scripted multi-region loop patterns

Workflow 3: Request Quota Increase

Scenario: Current quota is insufficient for deployment

bash
# Request increase for VM quota
az quota update \
  --resource-name standardDSv3Family \
  --scope /subscriptions/<subscription-id>/providers/Microsoft.Compute/locations/eastus \
  --limit-object value=500 \
  --resource-type dedicated

# Check request status
az quota request status list \
  --scope /subscriptions/<subscription-id>/providers/Microsoft.Compute/locations/eastus

Approval Process:

  • Most adjustable quotas are auto-approved within minutes
  • Some requests require manual review (hours to days)
  • Non-adjustable quotas require Azure Support ticket

📖 See also: az quota update, az quota request status

Workflow 4: List All Quotas for Planning

Scenario: Understand all quotas for a resource provider in a region

bash
# List all compute quotas in East US (table format)
az quota list \
  --scope /subscriptions/<subscription-id>/providers/Microsoft.Compute/locations/eastus \
  --output table

# List all network quotas
az quota list \
  --scope /subscriptions/<subscription-id>/providers/Microsoft.Network/locations/eastus \
  --output table

# List all Container Apps quotas
az quota list \
  --scope /subscriptions/<subscription-id>/providers/Microsoft.App/locations/eastus \
  --output table

📖 See also: az quota list

Troubleshooting

Common Errors

ErrorCauseSolution
REST API "No Limit"Misleading — not unlimitedUse CLI instead; see warning in Quick Reference
ExtensionNotFoundQuota extension not installedaz extension add --name quota
BadRequestResource provider not supported by quota APICheck service limits docs
MissingRegistrationMicrosoft.Quota provider not registeredaz provider register --namespace Microsoft.Quota
QuotaExceededDeployment would exceed quotaRequest increase or choose different region
InvalidScopeIncorrect scope formatUse pattern: /subscriptions/<id>/providers/<namespace>/locations/<region>
CLI commands fail entirelyAuth, extension, or environment issueVerify Azure CLI login (az account show), reinstall quota extension, check network. Do NOT use the azure-quota MCP server — it is unreliable.

Unsupported Resource Providers

Known unsupported providers:

Confirmed working providers:

  • ✅ Microsoft.Compute (VMs, disks, cores)
  • ✅ Microsoft.Network (VNets, IPs, load balancers)
  • ✅ Microsoft.App (Container Apps)
  • ✅ Microsoft.Storage (storage accounts)
  • ✅ Microsoft.MachineLearningServices (ML compute)

📖 See also: Troubleshooting Guide

Additional Resources

ResourceLink
CLI Commands Referencecommands.md - Complete syntax, parameters, examples
Azure Quotas OverviewMicrosoft Learn
Service Limits DocumentationAzure subscription limits
Azure Portal - My QuotasPortal Link
Request Quota IncreasesHow to request increases

Best Practices

  1. Always check quotas before deployment - Prevent quota exceeded errors
  2. Run az quota list first - Discover correct quota resource names
  3. Compare regions - Find regions with available capacity
  4. Account for growth - Request 20% buffer above immediate needs
  5. Use table output for overview - --output table for quick scanning
  6. Monitor usage trends - Set up alerts at 80% threshold (via Portal)

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 Quotas AI skill do?

Check/manage Azure quotas and usage across providers. For deployment planning, capacity validation, region selection. WHEN: "check quotas", "service limits", "current usage", "request quota increase", "quota exceeded", "validate capacity", "regional availability", "provisioning limits", "vCPU limit", "how many vCPUs available in my subscription".

Why use Azure Quotas on TypingMind?

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

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

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 Quotas?

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

Is the Azure Quotas 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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