Service Quota Check logo

Service Quota Check

Organization
aws
service-quota-check

Use this skill during any incident investigation, capacity planning, or operational troubleshooting when the issue may be caused by hitting AWS service limits. Activate when you observe throttling errors (ThrottlingException, TooManyRequestsException, LimitExceededException), resource creation failures, capacity-related alarms, or when a recommendation involves provisioning new AWS resources.

Overview

Publisheraws
Repositorytools-for-devops-agent
Skill nameservice-quota-check
Stars
120
Forks
97
Bundled files
4
LicenseApache-2.0
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 aws on GitHub. Read the source before you install it.

Installation

Install the Service Quota Check 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.
    https://github.com/aws/tools-for-devops-agent/tree/main/skills/service-quota-check
  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/aws/tools-for-devops-agent.git /tmp/tools-for-devops-agent
mkdir -p .claude/skills
cp -r /tmp/tools-for-devops-agent/skills/service-quota-check .claude/skills/service-quota-check
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Service Quota Check 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 Service Quota Check 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 Service Quota Check 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.

Service Quota Check

Use this skill to check AWS service quota utilization during investigations and before provisioning new resources. It determines whether a quota is nearing its limit (85%+ utilization) and takes action: requesting a quota increase via the Service Quotas API when possible, or recommending a support case when programmatic increases are not supported.

When to Use This Skill

  • An error message indicates throttling or limit exceeded (e.g., ThrottlingException, TooManyRequestsException, LimitExceededException, ResourceLimitExceeded).
  • A resource creation or scaling operation fails with capacity errors.
  • An investigation recommendation involves provisioning additional AWS resources (e.g., adding EC2 instances, creating VPCs, adding NAT Gateways, launching RDS instances).
  • Capacity planning or pre-launch readiness checks.
  • Proactive monitoring of quota utilization across services.

Prerequisites

  • The agent must have permissions to call Service Quotas APIs:
    • servicequotas:ListServices
    • servicequotas:ListServiceQuotas
    • servicequotas:GetServiceQuota
    • servicequotas:RequestServiceQuotaIncrease
    • servicequotas:ListRequestedServiceQuotaChangeHistory
    • servicequotas:CreateSupportCase
  • For utilization data via CloudWatch, the agent needs:
    • cloudwatch:GetMetricData
    • cloudwatch:GetMetricStatistics
  • Service Quotas is a regional service. Quotas must be checked in the region where resources are deployed.

Step 1: Identify the Service and Quota Context

Determine which service and quota to check based on the investigation context:

  1. From error messages — extract the service name and specific limit mentioned.
  2. From recommendations — if the recommendation is to provision resources, identify the service (e.g., EC2, VPC, RDS, Lambda, ELB) and the resource type.
  3. From alarms — if a CloudWatch alarm indicates capacity pressure, identify the underlying service.

Common service codes

AWS ServiceService Code
Amazon EC2ec2
Amazon VPCvpc
Elastic Load Balancingelasticloadbalancing
Amazon RDSrds
AWS Lambdalambda
Amazon ECSecs
Amazon EKSeks
Amazon S3s3
Amazon DynamoDBdynamodb
AWS Fargatefargate
Amazon CloudWatchmonitoring
AWS CloudFormationcloudformation
Amazon SQSsqs
Amazon SNSsns
Amazon ElastiCacheelasticache
Amazon OpenSearch Servicees
Auto Scalingautoscaling

If you do not know the service code, use:

bash
aws service-quotas list-services \
  --query "Services[?contains(ServiceName, '<keyword>')]" \
  --region <region>

Step 2: Retrieve Quota Value and Utilization

Get the applied quota value

bash
aws service-quotas get-service-quota \
  --service-code <service-code> \
  --quota-code <quota-code> \
  --region <region>

The response includes:

  • Value — the current quota limit (applied value, or default if no increase was granted)
  • Adjustable — whether the quota can be increased
  • UsageMetric — CloudWatch metric to check current utilization (if available)

If you do not know the quota code

List all quotas for the service:

bash
aws service-quotas list-service-quotas \
  --service-code <service-code> \
  --region <region>

Filter by quota name keyword:

bash
aws service-quotas list-service-quotas \
  --service-code <service-code> \
  --region <region> \
  --query "Quotas[?contains(QuotaName, '<keyword>')]"

Get current utilization via CloudWatch

If the UsageMetric field is present in the quota response, query CloudWatch for actual usage:

bash
aws cloudwatch get-metric-statistics \
  --namespace "<MetricNamespace>" \
  --metric-name "<MetricName>" \
  --dimensions <MetricDimensions> \
  --start-time "<15-minutes-ago-ISO8601>" \
  --end-time "<now-ISO8601>" \
  --period 300 \
  --statistics <MetricStatisticRecommendation> \
  --region <region>

The UsageMetric object from the quota response provides all the parameters:

  • MetricNamespace — typically AWS/Usage
  • MetricName — typically ResourceCount
  • MetricDimensions — service-specific dimensions (e.g., Class, Resource, Service, Type)
  • MetricStatisticRecommendation — either Maximum or Sum

Alternative: count resources directly

If no UsageMetric is available, count resources using the service's Describe/List APIs:

ServiceCommand to count resources
EC2 instancesaws ec2 describe-instances --query "Reservations[].Instances[] | length(@)"
VPCsaws ec2 describe-vpcs --query "Vpcs | length(@)"
NAT Gatewaysaws ec2 describe-nat-gateways --filter Name=state,Values=available --query "NatGateways | length(@)"
EIPsaws ec2 describe-addresses --query "Addresses | length(@)"
RDS instancesaws rds describe-db-instances --query "DBInstances | length(@)"
Lambda functionsaws lambda list-functions --query "Functions | length(@)"
ECS servicesaws ecs list-services --cluster <cluster> --query "serviceArns | length(@)"
ALBsaws elbv2 describe-load-balancers --query "LoadBalancers | length(@)"

Step 3: Calculate Utilization and Assess Risk

Calculate utilization percentage

utilization_pct = (current_usage / quota_value) × 100

Risk assessment thresholds

UtilizationRisk LevelAction
< 70%LowNo action needed. Report current state.
70% – 84%MediumFlag as approaching limit. Monitor closely.
85% – 94%HighRecommend quota increase. Proceed to Step 4.
95% – 100%CriticalUrgent quota increase required. Proceed to Step 4.
= 100%ExhaustedQuota is blocking operations. Immediate action required.

Present findings

Always show the user a summary table:

┌─────────────────────────────────────────────────────────────────────┐
│ Service Quota Check                                                  │
├─────────────────────────┬───────────┬─────────┬─────────┬───────────┤
│ Quota Name              │ Limit     │ Used    │ % Used  │ Status    │
├─────────────────────────┼───────────┼─────────┼─────────┼───────────┤
│ Running On-Demand (std) │ 1920 vCPU │ 1740    │ 90.6%   │ ⚠️ HIGH   │
│ VPCs per Region         │ 5         │ 5       │ 100%    │ 🚫 FULL   │
│ NAT Gateways per AZ    │ 5         │ 3       │ 60%     │ ✅ OK     │
└─────────────────────────┴───────────┴─────────┴─────────┴───────────┘

Step 4: Request Quota Increase

When utilization is at 85% or higher, proceed based on whether the quota is adjustable.

Decision Tree

Is utilization >= 85%?
├── NO → Report findings, no action needed
└── YES → Check "Adjustable" field
    ├── Adjustable = true → Proceed to quota increase request
    │   ├── Ask user to confirm the increase
    │   ├── User confirms → Submit request via API (Step 4a)
    │   └── User declines → Report findings only
    └── Adjustable = false → Recommend support case (Step 4b)

Step 4a: Submit Quota Increase Request via API

Before requesting, determine the desired new value. Use this formula:

desired_value = current_quota × 1.5   (50% increase over current limit)

If the quota is already exhausted (100% utilization), recommend:

desired_value = current_quota × 2.0   (double the current limit)

Present the recommendation to the user:

"The quota [QuotaName] is at [X]% utilization ([current_usage]/[quota_value]). I recommend increasing it to [desired_value]. Shall I submit the quota increase request?"

If the user confirms, submit the request:

bash
aws service-quotas request-service-quota-increase \
  --service-code <service-code> \
  --quota-code <quota-code> \
  --desired-value <desired-value> \
  --region <region>

After submitting, check the response:

  • Status: PENDING — request submitted successfully. Inform the user that AWS will review the request (typically processed within minutes for auto-approved quotas, or up to a few days for manual review).
  • Status: CASE_OPENED — a support case was automatically created.

Report the request ID and status:

"Quota increase request submitted successfully.

  • Request ID: [Id]
  • Status: [Status]
  • Desired value: [DesiredValue]

You can check the status with: aws service-quotas get-requested-service-quota-change --request-id <Id>"

Step 4b: Recommend Support Case (non-adjustable quotas)

If the quota cannot be increased via the API (Adjustable: false), inform the user:

"The quota [QuotaName] cannot be increased programmatically via the Service Quotas API. To request an increase, you need to open an AWS Support case.

Would you like me to:

  1. Open a support case via the Service Quotas API (requires an existing pending quota increase request)
  2. Provide instructions to open a support case manually via the AWS Console"

If there is an existing pending request, use:

bash
aws service-quotas create-support-case \
  --request-id <request-id> \
  --region <region>

Otherwise, provide manual instructions:

"To request this quota increase:

  1. Go to the AWS Support Center: https://console.aws.amazon.com/support/
  2. Create a new case → Service limit increase
  3. Select service: [ServiceName]
  4. Select quota: [QuotaName]
  5. Specify the new desired value: [desired_value]
  6. Provide business justification for the increase"

Step 5: Check for Pending Requests

Before submitting a new request, check if there is already a pending increase request:

bash
aws service-quotas list-requested-service-quota-change-history-by-quota \
  --service-code <service-code> \
  --quota-code <quota-code> \
  --region <region> \
  --query "RequestedQuotas[?Status=='PENDING']"

If a pending request exists:

  • Report the existing request details (ID, desired value, date submitted)
  • Do NOT submit a duplicate request
  • Offer to create a support case to expedite the existing request if needed

Step 6: Post-Increase Verification

After a quota increase is approved, verify the new limit:

bash
aws service-quotas get-service-quota \
  --service-code <service-code> \
  --quota-code <quota-code> \
  --region <region>

Confirm the Value field reflects the new limit.


Multi-Quota Check (Bulk Assessment)

When a recommendation involves provisioning multiple resource types, or for proactive capacity planning, check all relevant quotas for the service:

bash
aws service-quotas list-service-quotas \
  --service-code <service-code> \
  --region <region>

For each quota that has a UsageMetric, calculate utilization. Report any quotas at 70%+ utilization as part of a comprehensive capacity report.


Common Quota Codes Reference

See references/common-quota-codes.md for a table of frequently checked quota codes by service.


Error Handling

ErrorCauseResolution
NoSuchResourceExceptionQuota code does not exist for the serviceUse list-service-quotas to find the correct code
TooManyRequestsExceptionService Quotas API is throttlingWait and retry with exponential backoff
ResourceAlreadyExistsExceptionA pending request already existsCheck existing requests (Step 5)
QuotaExceededExceptionThe desired value exceeds the maximum allowedReduce the desired value or open a support case
AccessDeniedExceptionMissing IAM permissionsCheck that the agent has servicequotas:* permissions
DependencyAccessDeniedExceptionMissing permissions on the target serviceVerify IAM policies for the target service

Tips

  • Check the region: Service quotas are regional. Always query in the region where resources are deployed, unless the quota is global (check GlobalQuota: true).
  • Applied vs. default: get-service-quota returns the applied value (which may differ from the default if a previous increase was granted). Use get-aws-default-service-quota to see the original default.
  • Auto-approved vs. manual: Many quotas (especially EC2 vCPU limits) are auto-approved within minutes. Others require manual AWS review. The API does not indicate which type a quota is in advance — submit the request and monitor the status.
  • Resource-level quotas: Some quotas (e.g., OpenSearch instances per domain) are resource-level. Use --context-id with the resource ARN for these.
  • Rate-based quotas: Some quotas measure requests per second (e.g., API call rates). These require different monitoring approaches (CloudWatch metrics rather than resource counts).

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 Service Quota Check AI skill do?

Use this skill during any incident investigation, capacity planning, or operational troubleshooting when the issue may be caused by hitting AWS service limits. Activate when you observe throttling errors (ThrottlingException, TooManyRequestsException, LimitExceededException), resource creation failures, capacity-related alarms, or when a recommendation involves provisioning new AWS resources.

Why use Service Quota Check on TypingMind?

Because you install it once and use it with any model. Service Quota Check 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 Service Quota Check in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/aws/tools-for-devops-agent/tree/main/skills/service-quota-check. 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 Service Quota Check?

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 Service Quota Check?

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

Is the Service Quota Check AI skill free?

Yes. It is published on GitHub by aws under the Apache-2.0 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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