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Aws Cost Optimization

CommunityPopular
BagelHole
aws-cost-optimization

Reduce AWS spend with rightsizing, autoscaling, commitment planning, and storage lifecycle policies. Use when running FinOps reviews, lowering cloud bills, or improving cost-per-request metrics.

Overview

PublisherBagelHole
RepositoryDevOps-Security-Agent-Skills
Skill nameaws-cost-optimization
Stars
1.1K
Forks
161
Bundled files
Instructions only
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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by BagelHole on GitHub. Read the source before you install it.

Installation

Install the Aws Cost Optimization 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/BagelHole/DevOps-Security-Agent-Skills/tree/main/infrastructure/cloud-aws/aws-cost-optimization
  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/BagelHole/DevOps-Security-Agent-Skills.git /tmp/DevOps-Security-Agent-Skills
mkdir -p .claude/skills
cp -r /tmp/DevOps-Security-Agent-Skills/infrastructure/cloud-aws/aws-cost-optimization .claude/skills/aws-cost-optimization
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Aws Cost Optimization 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 Aws Cost Optimization 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 Aws Cost Optimization 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.

AWS Cost Optimization

Apply practical FinOps controls to reduce AWS spend without sacrificing reliability or performance.

When to Use This Skill

  • Monthly AWS bill spikes unexpectedly or exceeds budget thresholds
  • Preparing cost reviews with engineering and finance teams
  • Rightsizing EC2, RDS, EKS, or Lambda workloads after load testing
  • Choosing between Savings Plans, Reserved Instances, or on-demand pricing
  • Setting up automated budget alerts and anomaly detection
  • Cleaning up unused resources (unattached EBS, idle load balancers, old snapshots)
  • Optimizing data transfer costs across regions and AZs

Prerequisites

  • AWS CLI v2 installed and configured (aws configure)
  • IAM permissions: ce:*, budgets:*, ec2:Describe*, cloudwatch:PutMetricAlarm, s3:PutLifecycleConfiguration
  • Cost Explorer enabled in the AWS billing console (takes 24 hours to populate)
  • Cost allocation tags activated in the Billing console

Cost Review Workflow

  1. Tag every resource by team, service, environment, and cost center.
  2. Enable Cost Explorer and activate Cost and Usage Reports (CUR) to S3.
  3. Identify top spend drivers by service, account, and tag.
  4. Rightsize underutilized compute and storage based on CloudWatch metrics.
  5. Apply commitment discounts (Savings Plans or RIs) for stable baseline usage.
  6. Set budgets, anomaly alerts, and build KPI dashboards.
  7. Review monthly and iterate.

Cost Explorer CLI Commands

bash
# Get cost and usage for the last 30 days grouped by service
aws ce get-cost-and-usage \
  --time-period Start=2026-02-01,End=2026-03-01 \
  --granularity MONTHLY \
  --metrics "BlendedCost" "UnblendedCost" "UsageQuantity" \
  --group-by Type=DIMENSION,Key=SERVICE

# Get cost forecast for the next 30 days
aws ce get-cost-forecast \
  --time-period Start=2026-03-24,End=2026-04-24 \
  --metric UNBLENDED_COST \
  --granularity MONTHLY

# Get cost grouped by a specific tag (e.g., team)
aws ce get-cost-and-usage \
  --time-period Start=2026-02-01,End=2026-03-01 \
  --granularity MONTHLY \
  --metrics "UnblendedCost" \
  --group-by Type=TAG,Key=team

# Get rightsizing recommendations for EC2
aws ce get-rightsizing-recommendation \
  --service "AmazonEC2" \
  --configuration '{"RecommendationTarget":"SAME_INSTANCE_FAMILY","BenefitsConsidered":true}'

# Get Savings Plans purchase recommendation
aws ce get-savings-plans-purchase-recommendation \
  --savings-plans-type COMPUTE_SP \
  --term-in-years ONE_YEAR \
  --payment-option NO_UPFRONT \
  --lookback-period-in-days SIXTY_DAYS

# Get Savings Plans utilization
aws ce get-savings-plans-utilization \
  --time-period Start=2026-02-01,End=2026-03-01 \
  --granularity MONTHLY

# Get Reserved Instance utilization
aws ce get-reservation-utilization \
  --time-period Start=2026-02-01,End=2026-03-01 \
  --granularity MONTHLY

Budget Alerts

bash
# Create a monthly cost budget with email alert at 80% and 100%
aws budgets create-budget \
  --account-id 123456789012 \
  --budget '{
    "BudgetName": "monthly-total",
    "BudgetLimit": {"Amount": "5000", "Unit": "USD"},
    "TimeUnit": "MONTHLY",
    "BudgetType": "COST",
    "CostFilters": {},
    "CostTypes": {
      "IncludeTax": true,
      "IncludeSubscription": true,
      "UseBlended": false
    }
  }' \
  --notifications-with-subscribers '[
    {
      "Notification": {
        "NotificationType": "ACTUAL",
        "ComparisonOperator": "GREATER_THAN",
        "Threshold": 80,
        "ThresholdType": "PERCENTAGE"
      },
      "Subscribers": [{"SubscriptionType": "EMAIL", "Address": "finops@example.com"}]
    },
    {
      "Notification": {
        "NotificationType": "ACTUAL",
        "ComparisonOperator": "GREATER_THAN",
        "Threshold": 100,
        "ThresholdType": "PERCENTAGE"
      },
      "Subscribers": [{"SubscriptionType": "EMAIL", "Address": "finops@example.com"}]
    }
  ]'

# List all budgets
aws budgets describe-budgets --account-id 123456789012

# Enable Cost Anomaly Detection monitor for all services
aws ce create-anomaly-monitor \
  --anomaly-monitor '{
    "MonitorName": "all-services",
    "MonitorType": "DIMENSIONAL",
    "MonitorDimension": "SERVICE"
  }'

# Create anomaly subscription (alert when impact > $50)
aws ce create-anomaly-subscription \
  --anomaly-subscription '{
    "SubscriptionName": "cost-alerts",
    "MonitorArnList": ["arn:aws:ce::123456789012:anomalymonitor/monitor-id"],
    "Subscribers": [{"Type": "EMAIL", "Address": "finops@example.com"}],
    "Threshold": 50,
    "Frequency": "DAILY"
  }'

CloudWatch Cost Alarm

bash
# Create alarm for estimated charges exceeding $4000
aws cloudwatch put-metric-alarm \
  --alarm-name "billing-alarm-4000" \
  --alarm-description "Alert when estimated charges exceed $4000" \
  --metric-name EstimatedCharges \
  --namespace AWS/Billing \
  --statistic Maximum \
  --period 21600 \
  --threshold 4000 \
  --comparison-operator GreaterThanThreshold \
  --evaluation-periods 1 \
  --dimensions Name=Currency,Value=USD \
  --alarm-actions "arn:aws:sns:us-east-1:123456789012:billing-alerts" \
  --treat-missing-data notBreaching

Find and Clean Unused Resources

bash
# List unattached EBS volumes (wasted storage spend)
aws ec2 describe-volumes \
  --filters Name=status,Values=available \
  --query "Volumes[].{ID:VolumeId,Size:Size,Created:CreateTime}" \
  --output table

# Find old EBS snapshots (older than 90 days)
aws ec2 describe-snapshots \
  --owner-ids self \
  --query "Snapshots[?StartTime<='2025-12-24'].{ID:SnapshotId,Size:VolumeSize,Date:StartTime}" \
  --output table

# List unused Elastic IPs (charged when not associated)
aws ec2 describe-addresses \
  --query "Addresses[?AssociationId==null].{IP:PublicIp,AllocId:AllocationId}" \
  --output table

# Find idle load balancers (zero healthy targets)
aws elbv2 describe-target-health \
  --target-group-arn arn:aws:elasticloadbalancing:us-east-1:123456789012:targetgroup/my-tg/abc123

# List RDS instances and their utilization
aws cloudwatch get-metric-statistics \
  --namespace AWS/RDS \
  --metric-name CPUUtilization \
  --dimensions Name=DBInstanceIdentifier,Value=mydb \
  --start-time 2026-03-17T00:00:00Z \
  --end-time 2026-03-24T00:00:00Z \
  --period 86400 \
  --statistics Average

S3 Lifecycle Cost Optimization

bash
# Apply tiered lifecycle policy to reduce storage costs
aws s3api put-bucket-lifecycle-configuration \
  --bucket my-data-bucket \
  --lifecycle-configuration '{
    "Rules": [
      {
        "ID": "TierDownOldData",
        "Status": "Enabled",
        "Filter": {"Prefix": ""},
        "Transitions": [
          {"Days": 30, "StorageClass": "STANDARD_IA"},
          {"Days": 90, "StorageClass": "GLACIER"},
          {"Days": 365, "StorageClass": "DEEP_ARCHIVE"}
        ],
        "NoncurrentVersionTransitions": [
          {"NoncurrentDays": 30, "StorageClass": "GLACIER"}
        ],
        "NoncurrentVersionExpiration": {"NoncurrentDays": 90}
      },
      {
        "ID": "CleanupIncompleteUploads",
        "Status": "Enabled",
        "Filter": {"Prefix": ""},
        "AbortIncompleteMultipartUpload": {"DaysAfterInitiation": 7}
      }
    ]
  }'

Terraform Budget and Alarm Example

hcl
resource "aws_budgets_budget" "monthly" {
  name         = "monthly-total"
  budget_type  = "COST"
  limit_amount = "5000"
  limit_unit   = "USD"
  time_unit    = "MONTHLY"

  notification {
    comparison_operator        = "GREATER_THAN"
    threshold                  = 80
    threshold_type             = "PERCENTAGE"
    notification_type          = "ACTUAL"
    subscriber_email_addresses = ["finops@example.com"]
  }

  notification {
    comparison_operator        = "GREATER_THAN"
    threshold                  = 100
    threshold_type             = "PERCENTAGE"
    notification_type          = "ACTUAL"
    subscriber_email_addresses = ["finops@example.com"]
  }
}

resource "aws_cloudwatch_metric_alarm" "billing" {
  alarm_name          = "billing-alarm-4000"
  comparison_operator = "GreaterThanThreshold"
  evaluation_periods  = 1
  metric_name         = "EstimatedCharges"
  namespace           = "AWS/Billing"
  period              = 21600
  statistic           = "Maximum"
  threshold           = 4000
  alarm_description   = "Billing exceeds $4000"
  alarm_actions       = [aws_sns_topic.billing_alerts.arn]

  dimensions = {
    Currency = "USD"
  }
}

Scheduling Non-Production Shutdowns

bash
# Stop all dev instances tagged Environment=dev (run via EventBridge + Lambda)
aws ec2 describe-instances \
  --filters "Name=tag:Environment,Values=dev" "Name=instance-state-name,Values=running" \
  --query "Reservations[].Instances[].InstanceId" \
  --output text | xargs -n1 aws ec2 stop-instances --instance-ids

# Scale down dev ECS services to zero at night
aws ecs update-service \
  --cluster dev-cluster \
  --service dev-api \
  --desired-count 0

Troubleshooting

ProblemCauseFix
Cost Explorer returns empty dataCE not enabled or < 24h oldEnable in Billing console, wait 24h
Budget alert not firingSNS subscription not confirmedCheck email and confirm subscription
Rightsizing shows no recommendationsNot enough usage dataWait 14 days for sufficient metrics
Savings Plans utilization lowOver-purchased or workload changedReview and adjust SP coverage
Unattached EBS not showingWrong region queriedLoop through all active regions
Billing alarm never triggersBilling metrics only in us-east-1Create alarm in us-east-1 region
CUR data missing in S3Report not configured or bucket policy wrongVerify CUR setup in Billing console
Tag-based cost allocation emptyTags not activatedActivate cost allocation tags in Billing

Related Skills

  • aws-ec2 - EC2 operations, sizing, and Spot instances
  • aws-s3 - S3 storage classes and lifecycle controls
  • aws-rds - RDS instance sizing and reserved instances
  • aws-lambda - Lambda pricing and concurrency tuning
  • terraform-aws - Codifying cost guardrails in IaC

Frequently asked questions

What does the Aws Cost Optimization AI skill do?

Reduce AWS spend with rightsizing, autoscaling, commitment planning, and storage lifecycle policies. Use when running FinOps reviews, lowering cloud bills, or improving cost-per-request metrics.

Why use Aws Cost Optimization on TypingMind?

Because you install it once and use it with any model. Aws Cost Optimization 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 Aws Cost Optimization in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/BagelHole/DevOps-Security-Agent-Skills/tree/main/infrastructure/cloud-aws/aws-cost-optimization. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Aws Cost Optimization?

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 Aws Cost Optimization?

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

Is the Aws Cost Optimization AI skill free?

Yes. It is published on GitHub by BagelHole 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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