Terminal.skills
Skills/cloud-resource-analyzer
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cloud-resource-analyzer

Finds orphaned, idle, and underutilized cloud resources across AWS, GCP, or Azure accounts. Use when someone needs to audit cloud spending, find unused EBS volumes, stale snapshots, unattached IPs, idle load balancers, or oversized RDS instances. Trigger words: cloud waste, orphaned resources, unused volumes, cloud audit, infrastructure cleanup, cloud bill analysis.

#cloud#cost-optimization#aws#infrastructure-audit
terminal-skillsv1.0.0
Works with:claude-codeopenai-codexgemini-clicursor
Source

Usage

$
✓ Installed cloud-resource-analyzer v1.0.0

Getting Started

  1. Install the skill using the command above
  2. Open your AI coding agent (Claude Code, Codex, Gemini CLI, or Cursor)
  3. Reference the skill in your prompt
  4. The AI will use the skill's capabilities automatically

Example Prompts

  • "Deploy the latest build to the staging environment and run smoke tests"
  • "Check the CI pipeline status and summarize any recent failures"

Information

Version
1.0.0
Author
terminal-skills
Category
DevOps
License
Apache-2.0

Use Cases

→Optimize Kubernetes Cloud Costs with AI
→Optimize Cloud Costs with Terraform and Resource Analysis

Documentation

Overview

This skill scans cloud provider accounts for resources that are costing money but providing no value — orphaned storage volumes, stale snapshots, unattached elastic IPs, idle databases, and oversized instances. It produces a prioritized cleanup report with estimated savings and safe deletion scripts.

Instructions

Step 1: Determine Cloud Provider and Access

Check which CLI tools are available and configured:

bash
aws sts get-caller-identity 2>/dev/null && echo "AWS: configured"
gcloud config get-value project 2>/dev/null && echo "GCP: configured"
az account show 2>/dev/null && echo "Azure: configured"

Step 2: Scan for Orphaned Storage (AWS Example)

bash
# Unattached EBS volumes
aws ec2 describe-volumes --filters Name=status,Values=available \
  --query 'Volumes[].{ID:VolumeId,Size:Size,Type:VolumeType,Created:CreateTime,Tags:Tags}' \
  --output json

# Snapshots older than 90 days with no active AMI
aws ec2 describe-snapshots --owner-ids self \
  --query 'Snapshots[?StartTime<=`2025-11-01`].{ID:SnapshotId,Size:VolumeSize,Start:StartTime,Desc:Description}' \
  --output json

# Unassociated Elastic IPs
aws ec2 describe-addresses --query 'Addresses[?AssociationId==null].{IP:PublicIp,AllocID:AllocationId}' \
  --output json

Step 3: Scan for Idle Compute and Network

bash
# Load balancers with no healthy targets
aws elbv2 describe-target-health --target-group-arn <arn> \
  --query 'TargetHealthDescriptions[?TargetHealth.State!=`healthy`]'

# RDS instances with < 5% average CPU over 14 days
aws cloudwatch get-metric-statistics --namespace AWS/RDS \
  --metric-name CPUUtilization --period 86400 --statistics Average \
  --start-time $(date -d '14 days ago' -Iseconds) --end-time $(date -Iseconds) \
  --dimensions Name=DBInstanceIdentifier,Value=<instance-id>

Step 4: Calculate Costs

Use these reference monthly costs for estimates:

  • EBS gp3: $0.08/GiB-month
  • EBS snapshots: $0.05/GiB-month
  • Elastic IP (unattached): $3.60/month
  • ALB idle: $16.20/month + LCU charges
  • NLB idle: $6.75/month

Step 5: Generate Cleanup Report

Organize findings by category with estimated monthly cost. Sort by savings descending. Include:

  • Resource ID, type, region
  • Creation date and relevant tags
  • Why it's considered orphaned/idle
  • Estimated monthly cost
  • Recommended action (delete, downsize, archive)

Step 6: Create Safe Cleanup Scripts

Generate scripts with:

  • --dry-run flag that only lists what would be deleted
  • Tag-based grace period (tag resources scheduled-for-deletion: <date+7d>)
  • Snapshot before delete for EBS volumes
  • Confirmation prompts for production resources

Examples

Example 1: Full AWS Audit

User prompt:

Scan our AWS account for wasted cloud resources

Agent output:

Cloud Resource Audit — AWS account 123456789012
Region: us-east-1
────────────────────────────────────────────────

STORAGE WASTE
  Unattached EBS volumes: 4 volumes, 450 GiB total          $36.00/mo
  Stale snapshots (>90 days, no AMI): 23 snapshots, 1.2 TiB $60.00/mo
  S3 buckets with no access in 90 days: 2 buckets, 340 GiB  $7.82/mo

NETWORK WASTE
  Unassociated Elastic IPs: 2                                $7.20/mo
  ALBs with 0 healthy targets: 1                             $16.20/mo
  NAT Gateway with <1GB/mo traffic: 1                        $32.40/mo

COMPUTE WASTE
  RDS db.r5.xlarge at 3% avg CPU: 1 instance                $274.00/mo
  → Recommend downsize to db.r5.large                        saves $137.00/mo

Total monthly waste: $296.62/mo ($3,559/year)

Example 2: Targeted EBS Cleanup

User prompt:

Find and clean up orphaned EBS volumes in us-west-2

Agent output:

Found 3 unattached EBS volumes in us-west-2:

vol-0abc123  200Gi gp3  Created: 2025-05-12  Tag: postgres-backup    $16.00/mo
vol-0def456  100Gi gp3  Created: 2025-08-30  Tag: jenkins-workspace  $8.00/mo
vol-0ghi789   50Gi gp2  Created: 2025-10-15  Tag: none               $5.00/mo

Cleanup script generated: cleanup-ebs-us-west-2.sh
  ./cleanup-ebs-us-west-2.sh --dry-run    # Preview only
  ./cleanup-ebs-us-west-2.sh --execute    # Tag for deletion in 7 days
  ./cleanup-ebs-us-west-2.sh --force      # Delete immediately (creates snapshots first)

Guidelines

  • Read-only by default — never delete resources without explicit user confirmation
  • Grace period pattern — always recommend tagging resources for deletion before actually deleting
  • Snapshot before delete — for EBS volumes, always create a snapshot before removal
  • Cross-reference dependencies — check if volumes are referenced by Terraform state, K8s PVCs, or backup policies before flagging
  • Multi-region — remind users to scan all active regions, not just the default
  • Cost estimates are approximate — based on on-demand pricing; reserved instances or savings plans may differ
  • Sensitive data — warn about volumes that might contain database data or secrets