azure-quotas▌
microsoft/azure-skills · updated Apr 8, 2026
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Check and manage Azure quotas and usage across regions for deployment planning and capacity validation.
- ›Azure CLI ( az quota ) is the only reliable method for checking quotas; REST API and Portal are unreliable and may show misleading \"No Limit\" values that do not indicate unlimited capacity
- ›Supports four core workflows: checking specific resource quotas, comparing capacity across regions, requesting quota increases, and listing all quotas for a provider
- ›Quota resource names do not
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
| Property | Details |
|---|---|
| Primary Tool | Azure CLI (az quota) - USE THIS FIRST, ALWAYS |
| Extension Required | az extension add --name quota (MUST install first) |
| Key Commands | az quota list, az quota show, az quota usage list, az quota usage show |
| Complete CLI Reference | commands.md |
| Azure Portal | My quotas - Use only as fallback |
| REST API | Microsoft.Quota provider - Unreliable, do NOT use first |
| Required Permission | Reader (view) or Quota Request Operator (manage) |
⚠️ CRITICAL: ALWAYS USE CLI FIRST
Azure CLI (
az quota) is the ONLY reliable method for checking quotas. Use CLI FIRST, always.DO NOT use REST API or Portal as your first approach. They are unreliable and misleading.
Why you must use CLI first:
- REST API is unreliable and shows misleading results
- REST API "No Limit" or "Unlimited" values DO NOT mean unlimited capacity
- "No Limit" typically means the resource doesn't support quota API (not unlimited!)
- CLI provides clear
BadRequesterrors when providers aren't supported- CLI has consistent output format and better error messages
- Portal may show incomplete or cached data
Mandatory workflow:
- FIRST: Try
az quota list/az quota show/az quota usage show- If CLI returns
BadRequest: Then use Azure service limits docs- Never start with REST API or Portal - only use as last resort
If you see "No Limit" in REST API/Portal: This is NOT unlimited capacity. It means:
- The quota API doesn't support that resource type, OR
- The quota isn't enforced via the API, OR
- Service-specific limits still apply (check documentation)
For complete CLI command reference and examples, see commands.md.
Quota Types
| Type | Adjustability | Approval | Examples |
|---|---|---|---|
| Adjustable | Can increase via Portal/CLI/API | Usually auto-approved | VM vCPUs, Public IPs, Storage accounts |
| Non-adjustable | Fixed limits | Cannot be changed | Subscription-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 Type | Quota Resource Name |
|---|---|
Microsoft.App/managedEnvironments |
ManagedEnvironmentCount |
Microsoft.Compute/virtualMachines |
standardDSv3Family, cores, virtualMachines |
Microsoft.Network/publicIPAddresses |
PublicIPAddresses, IPv4StandardSkuPublicIpAddresses |
Discovery Workflow
Never assume the quota resource name from the ARM type. Always use this workflow:
-
List all quotas for the resource provider:
az quota list --scope /subscriptions/<id>/providers/<ProviderNamespace>/locations/<region> -
Match by
localizedValue(human-readable description) to find the relevant quota -
Use the
namefield (not ARM resource type) in subsequent commands:az quota show --resource-name ManagedEnvironmentCount --scope ... az quota usage show --resource-name ManagedEnvironmentCount --scope ...
📖 Detailed mapping examples and workflow: See commands.md - Understanding Resource Name Mapping
Core Workflows
Workflow 1: Check Quota for a Specific Resource
Scenario: Verify quota limit and current usage before deployment
# 1. Install quota extension (if not already installed)
az extension add --name quota
# 2. List all quotas for the provider to find the quota resource name
az quota list \
--scope /subscriptions/<subscription-id>/providers/Microsoft.Compute/locations/eastus
# 3. Show quota limit for a specific resource
az quota show \
--resource-name standardDSv3Family \
--scope /subscriptions/<subscription-id>/providers/Microsoft.Compute/locations/eastus
# 4. Show current usage
az quota usage show \
--resource-name standardDSv3Family \
--scope /subscriptions/<subscription-id>/providers/Microsoft.Compute/locations/eastus
Example Output Analysis:
- Quota limit: 350 vCPUs
- Current usage: 50 vCPUs
- Available capacity: 300 vCPUs (350 - 50)
📖 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
# 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: Multi-region comparison scripts (Bash & PowerShell)
Workflow 3: Request Quota Increase
Scenario: Current quota is insufficient for deployment
# 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
# 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
| Error | Cause | Solution |
|---|---|---|
| REST API "No Limit" | REST API showing misleading "unlimited" values | CRITICAL: "No Limit" ≠ unlimited! Use CLI instead. See warning above. Check service limits docs |
| REST API failures | REST API unreliable and misleading | Always use Azure CLI - See commands.md for complete CLI reference |
ExtensionNotFound |
Quota extension not installed | az extension add --name quota |
BadRequest |
Resource provider not supported by quota API | Use CLI (preferred) or service limits docs |
MissingRegistration |
Microsoft.Quota provider not registered | az provider register --namespace Microsoft.Quota |
QuotaExceeded |
Deployment would exceed quota | Request increase or choose different region |
InvalidScope |
Incorrect scope format | Use pattern: /subscriptions/<id>/providers/<namespace>/locations/<region> |
Unsupported Resource Providers
Known unsupported providers:
- ❌ Microsoft.DocumentDB (Cosmos DB) - Use Portal or Cosmos DB limits docs
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
How to use azure-quotas on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add azure-quotas
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches azure-quotas from GitHub repository microsoft/azure-skills and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate azure-quotas. Access the skill through slash commands (e.g., /azure-quotas) or your agent's skill management interface.
Security & Verification Notice
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
List & Monetize Your Skill
Submit your Claude Code skill and start earning
Use Cases▌
Task Automation & Efficiency
Automate repetitive workflows and reduce manual effort
Example
Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Knowledge Enhancement
Learn new skills, understand complex topics, get expert guidance
Example
Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Quality Improvement
Enhance output quality through reviews, suggestions, and refinements
Example
Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client with skill support
- ›Clear understanding of task or problem to solve
- ›Willingness to iterate and refine outputs
Time Estimate
15-45 minutes depending on use case complexity
Installation Steps
- 1.Install skill using provided installation command
- 2.Test with simple use case relevant to your work
- 3.Evaluate output quality and relevance
- 4.Iterate on prompts to improve results
- 5.Integrate into regular workflow if valuable
Common Pitfalls
- ⚠Expecting perfect results without iteration
- ⚠Not providing enough context in prompts
- ⚠Using skill for tasks outside its intended scope
- ⚠Accepting outputs without review and validation
Best Practices▌
✓ Do
- +Start with clear, specific prompts
- +Provide relevant context and constraints
- +Review and refine all outputs before using
- +Iterate to improve output quality
- +Document successful prompt patterns
✗ Don't
- −Don't use without understanding skill limitations
- −Don't skip validation of outputs
- −Don't share sensitive information in prompts
- −Don't expect skill to replace human judgment
💡 Pro Tips
- ★Be specific about desired format and style
- ★Ask for multiple options to choose from
- ★Request explanations to understand reasoning
- ★Combine AI efficiency with human expertise
When to Use This▌
✓ Use When
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid When
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
Learning Path▌
- 1Familiarize yourself with skill capabilities and limitations
- 2Start with low-risk, non-critical tasks
- 3Progress to more complex and valuable use cases
- 4Build expertise through regular use and experimentation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.7★★★★★45 reviews- ★★★★★Chaitanya Patil· Dec 28, 2024
I recommend azure-quotas for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Tariq Kim· Dec 28, 2024
Registry listing for azure-quotas matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Pratham Ware· Dec 4, 2024
azure-quotas has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Hiroshi Haddad· Dec 4, 2024
Solid pick for teams standardizing on skills: azure-quotas is focused, and the summary matches what you get after install.
- ★★★★★Mei Brown· Nov 23, 2024
Registry listing for azure-quotas matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Piyush G· Nov 19, 2024
Useful defaults in azure-quotas — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Michael Tandon· Nov 19, 2024
Solid pick for teams standardizing on skills: azure-quotas is focused, and the summary matches what you get after install.
- ★★★★★Dev Rao· Oct 14, 2024
azure-quotas fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Shikha Mishra· Oct 10, 2024
azure-quotas is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Ren Torres· Oct 10, 2024
We added azure-quotas from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
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