aws-cost-cleanup

Automated cleanup of unused AWS resources to reduce costs

30 stars

Best use case

aws-cost-cleanup is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Automated cleanup of unused AWS resources to reduce costs

Teams using aws-cost-cleanup should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/aws-cost-cleanup/SKILL.md --create-dirs "https://raw.githubusercontent.com/Zidong-IA/BIBLIOTECA/main/skills/skills/cloud-aws/aws-cost-cleanup/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/aws-cost-cleanup/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How aws-cost-cleanup Compares

Feature / Agentaws-cost-cleanupStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Automated cleanup of unused AWS resources to reduce costs

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# AWS Cost Cleanup

Automate the identification and removal of unused AWS resources to eliminate waste.

## When to Use This Skill

Use this skill when you need to automatically clean up unused AWS resources to reduce costs and eliminate waste.

## Automated Cleanup Targets

**Storage**
- Unattached EBS volumes
- Old EBS snapshots (>90 days)
- Incomplete multipart S3 uploads
- Old S3 versions in versioned buckets

**Compute**
- Stopped EC2 instances (>30 days)
- Unused AMIs and associated snapshots
- Unused Elastic IPs

**Networking**
- Unused Elastic Load Balancers
- Unused NAT Gateways
- Orphaned ENIs

## Cleanup Scripts

### Safe Cleanup (Dry-Run First)

```bash
#!/bin/bash
# cleanup-unused-ebs.sh

echo "Finding unattached EBS volumes..."
VOLUMES=$(aws ec2 describe-volumes \
  --filters Name=status,Values=available \
  --query 'Volumes[*].VolumeId' \
  --output text)

for vol in $VOLUMES; do
  echo "Would delete: $vol"
  # Uncomment to actually delete:
  # aws ec2 delete-volume --volume-id $vol
done
```

```bash
#!/bin/bash
# cleanup-old-snapshots.sh

CUTOFF_DATE=$(date -d '90 days ago' --iso-8601)

aws ec2 describe-snapshots --owner-ids self \
  --query "Snapshots[?StartTime<='$CUTOFF_DATE'].[SnapshotId,StartTime,VolumeSize]" \
  --output text | while read snap_id start_time size; do
  
  echo "Snapshot: $snap_id (Created: $start_time, Size: ${size}GB)"
  # Uncomment to delete:
  # aws ec2 delete-snapshot --snapshot-id $snap_id
done
```

```bash
#!/bin/bash
# release-unused-eips.sh

aws ec2 describe-addresses \
  --query 'Addresses[?AssociationId==null].[AllocationId,PublicIp]' \
  --output text | while read alloc_id public_ip; do
  
  echo "Would release: $public_ip ($alloc_id)"
  # Uncomment to release:
  # aws ec2 release-address --allocation-id $alloc_id
done
```

### S3 Lifecycle Automation

```bash
# Apply lifecycle policy to transition old objects to cheaper storage
cat > lifecycle-policy.json <<EOF
{
  "Rules": [
    {
      "Id": "Archive old objects",
      "Status": "Enabled",
      "Transitions": [
        {
          "Days": 90,
          "StorageClass": "STANDARD_IA"
        },
        {
          "Days": 180,
          "StorageClass": "GLACIER"
        }
      ],
      "NoncurrentVersionExpiration": {
        "NoncurrentDays": 30
      },
      "AbortIncompleteMultipartUpload": {
        "DaysAfterInitiation": 7
      }
    }
  ]
}
EOF

aws s3api put-bucket-lifecycle-configuration \
  --bucket my-bucket \
  --lifecycle-configuration file://lifecycle-policy.json
```

## Cost Impact Calculator

```python
#!/usr/bin/env python3
# calculate-savings.py

import boto3
from datetime import datetime, timedelta

ec2 = boto3.client('ec2')

# Calculate EBS volume savings
volumes = ec2.describe_volumes(
    Filters=[{'Name': 'status', 'Values': ['available']}]
)

total_size = sum(v['Size'] for v in volumes['Volumes'])
monthly_cost = total_size * 0.10  # $0.10/GB-month for gp3

print(f"Unattached EBS Volumes: {len(volumes['Volumes'])}")
print(f"Total Size: {total_size} GB")
print(f"Monthly Savings: ${monthly_cost:.2f}")

# Calculate Elastic IP savings
addresses = ec2.describe_addresses()
unused = [a for a in addresses['Addresses'] if 'AssociationId' not in a]

eip_cost = len(unused) * 3.65  # $0.005/hour * 730 hours
print(f"\nUnused Elastic IPs: {len(unused)}")
print(f"Monthly Savings: ${eip_cost:.2f}")

print(f"\nTotal Monthly Savings: ${monthly_cost + eip_cost:.2f}")
print(f"Annual Savings: ${(monthly_cost + eip_cost) * 12:.2f}")
```

## Automated Cleanup Lambda

```python
import boto3
from datetime import datetime, timedelta

def lambda_handler(event, context):
    ec2 = boto3.client('ec2')
    
    # Delete unattached volumes older than 7 days
    volumes = ec2.describe_volumes(
        Filters=[{'Name': 'status', 'Values': ['available']}]
    )
    
    cutoff = datetime.now() - timedelta(days=7)
    deleted = 0
    
    for vol in volumes['Volumes']:
        create_time = vol['CreateTime'].replace(tzinfo=None)
        if create_time < cutoff:
            try:
                ec2.delete_volume(VolumeId=vol['VolumeId'])
                deleted += 1
                print(f"Deleted volume: {vol['VolumeId']}")
            except Exception as e:
                print(f"Error deleting {vol['VolumeId']}: {e}")
    
    return {
        'statusCode': 200,
        'body': f'Deleted {deleted} volumes'
    }
```

## Cleanup Workflow

1. **Discovery Phase** (Read-only)
   - Run all describe commands
   - Generate cost impact report
   - Review with team

2. **Validation Phase**
   - Verify resources are truly unused
   - Check for dependencies
   - Notify resource owners

3. **Execution Phase** (Dry-run first)
   - Run cleanup scripts with dry-run
   - Review proposed changes
   - Execute actual cleanup

4. **Verification Phase**
   - Confirm deletions
   - Monitor for issues
   - Document savings

## Safety Checklist

- [ ] Run in dry-run mode first
- [ ] Verify resources have no dependencies
- [ ] Check resource tags for ownership
- [ ] Notify stakeholders before deletion
- [ ] Create snapshots of critical data
- [ ] Test in non-production first
- [ ] Have rollback plan ready
- [ ] Document all deletions

## Example Prompts

**Discovery**
- "Find all unused resources and calculate potential savings"
- "Generate a cleanup report for my AWS account"
- "What resources can I safely delete?"

**Execution**
- "Create a script to cleanup unattached EBS volumes"
- "Delete all snapshots older than 90 days"
- "Release unused Elastic IPs"

**Automation**
- "Set up automated cleanup for old snapshots"
- "Create a Lambda function for weekly cleanup"
- "Schedule monthly resource cleanup"

## Integration with AWS Organizations

```bash
# Run cleanup across multiple accounts
for account in $(aws organizations list-accounts \
  --query 'Accounts[*].Id' --output text); do
  
  echo "Checking account: $account"
  aws ec2 describe-volumes \
    --filters Name=status,Values=available \
    --profile account-$account
done
```

## Monitoring and Alerts

```bash
# Create CloudWatch alarm for cost anomalies
aws cloudwatch put-metric-alarm \
  --alarm-name high-cost-alert \
  --alarm-description "Alert when daily cost exceeds threshold" \
  --metric-name EstimatedCharges \
  --namespace AWS/Billing \
  --statistic Maximum \
  --period 86400 \
  --evaluation-periods 1 \
  --threshold 100 \
  --comparison-operator GreaterThanThreshold
```

## Best Practices

- Schedule cleanup during maintenance windows
- Always create final snapshots before deletion
- Use resource tags to identify cleanup candidates
- Implement approval workflow for production
- Log all cleanup actions for audit
- Set up cost anomaly detection
- Review cleanup results weekly

## Risk Mitigation

**Medium Risk Actions:**
- Deleting unattached volumes (ensure no planned reattachment)
- Removing old snapshots (verify no compliance requirements)
- Releasing Elastic IPs (check DNS records)

**Always:**
- Maintain 30-day backup retention
- Use AWS Backup for critical resources
- Test restore procedures
- Document cleanup decisions

## Kiro CLI Integration

```bash
# Analyze and cleanup in one command
kiro-cli chat "Use aws-cost-cleanup to find and remove unused resources"

# Generate cleanup script
kiro-cli chat "Create a safe cleanup script for my AWS account"

# Schedule automated cleanup
kiro-cli chat "Set up weekly automated cleanup using aws-cost-cleanup"
```

## Additional Resources

- [AWS Resource Cleanup Best Practices](https://aws.amazon.com/blogs/mt/automate-resource-cleanup/)
- [AWS Systems Manager Automation](https://docs.aws.amazon.com/systems-manager/latest/userguide/systems-manager-automation.html)
- [AWS Config Rules for Compliance](https://docs.aws.amazon.com/config/latest/developerguide/managed-rules-by-aws-config.html)

Related Skills

cost-optimization

30
from Zidong-IA/BIBLIOTECA

Optimize cloud costs through resource rightsizing, tagging strategies, reserved instances, and spending analysis. Use when reducing cloud expenses, analyzing infrastructure costs, or implementing c...

database-cloud-optimization-cost-optimize

30
from Zidong-IA/BIBLIOTECA

You are a cloud cost optimization expert specializing in reducing infrastructure expenses while maintaining performance and reliability. Analyze cloud spending, identify savings opportunities, and ...

codebase-cleanup-tech-debt

30
from Zidong-IA/BIBLIOTECA

You are a technical debt expert specializing in identifying, quantifying, and prioritizing technical debt in software projects. Analyze the codebase to uncover debt, assess its impact, and create acti

codebase-cleanup-refactor-clean

30
from Zidong-IA/BIBLIOTECA

You are a code refactoring expert specializing in clean code principles, SOLID design patterns, and modern software engineering best practices. Analyze and refactor the provided code to improve its...

codebase-cleanup-deps-audit

30
from Zidong-IA/BIBLIOTECA

You are a dependency security expert specializing in vulnerability scanning, license compliance, and supply chain security. Analyze project dependencies for known vulnerabilities, licensing issues,...

aws-cost-optimizer

30
from Zidong-IA/BIBLIOTECA

Comprehensive AWS cost analysis and optimization recommendations using AWS CLI and Cost Explorer

firecrawl

30
from Zidong-IA/BIBLIOTECA

Official Firecrawl CLI skill for web scraping, search, crawling, and browser automation. Returns clean LLM-optimized markdown. USE FOR: - Web search and research - Scraping pages, docs, and articles - Site mapping and bulk content extraction - Browser automation for interactive pages Must be pre-installed and authenticated. See rules/install.md for setup, rules/security.md for output handling.

super-search

30
from Zidong-IA/BIBLIOTECA

Search your coding memory. Use when user asks about past work, previous sessions, how something was implemented, what they worked on before, or wants to recall information from earlier sessions.

super-save

30
from Zidong-IA/BIBLIOTECA

Save important project knowledge to memory. Use when user wants to preserve architectural decisions, significant bug fixes, design patterns, or important implementation details for team reference.

zustand-store-ts

30
from Zidong-IA/BIBLIOTECA

Create Zustand stores with TypeScript, subscribeWithSelector middleware, and proper state/action separation. Use when building React state management, creating global stores, or implementing reacti...

web-quality-audit

30
from Zidong-IA/BIBLIOTECA

Comprehensive web quality audit covering performance, accessibility, SEO, and best practices. Use when asked to "audit my site", "review web quality", "run lighthouse audit", "check page quality", or "optimize my website".

web-performance-optimization

30
from Zidong-IA/BIBLIOTECA

Optimize website and web application performance including loading speed, Core Web Vitals, bundle size, caching strategies, and runtime performance