Optimizing Cloud Costs
SkillDev tools'Execute use when you need to work with cloud cost optimization.
Use Optimizing Cloud Costs in Claude, ChatGPT or Ahel Desktop
Free. Sign in, add Optimizing Cloud Costs and connect your AI. About a minute.
Also: Claude Code · Cursor · Codex
Then ask your AI: use the Optimizing Cloud Costs skill
Details
Instructions available. Your AI can read the instructions. Execution depends on the setup they require.
Account requirements not reviewed. Check the skill instructions before use; Ahel provides instructions and does not run this skill.
No other account needed.
Add Ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.
What this skill tells your AI
The instructions your AI receives, as published by jeremylongshore/tons-of-skills-marketplace in skills/.curated/optimizing-cloud-costs/SKILL.md and read by Ahel’s review.
Overview
Analyze cloud spending across AWS, GCP, and Azure to identify waste, recommend rightsizing, and generate cost-saving configurations. Covers reserved instances, spot/preemptible workloads, storage tiering, idle resource cleanup, and budget alerting using cloud-native cost management APIs.
Prerequisites
- Cloud provider CLI authenticated with billing/cost-explorer read access
- AWS:
ce:GetCostAndUsage,ec2:DescribeInstances,cloudwatch:GetMetricDatapermissions - GCP: Billing Account Viewer and Compute Viewer roles
- Azure: Cost Management Reader role
- Access to current infrastructure-as-code (Terraform, CloudFormation) for rightsizing changes
- At least 30 days of billing data for meaningful analysis
Instructions
- Pull current cost data using cloud cost APIs (
aws ce get-cost-and-usage,gcloud billing budgets list) - Identify the top 10 cost drivers by service, region, and resource tag
- Detect idle resources: instances with < 5% average CPU over 14 days, unattached EBS volumes, unused Elastic IPs, orphaned snapshots
- Recommend rightsizing: compare instance utilization against available instance types and suggest downsizing
- Evaluate reserved instance or savings plan coverage against on-demand spend; recommend commitments for steady-state workloads
- Identify spot/preemptible candidates: stateless, fault-tolerant workloads (batch jobs, CI runners, dev environments)
- Review storage costs: recommend S3 Intelligent-Tiering, lifecycle policies for infrequent access, or Glacier for archives
- Generate Terraform/IaC changes to implement approved optimizations
- Set up budget alerts with thresholds at 50%, 80%, and 100% of monthly budget
- Create a cost optimization report summarizing findings, savings estimates, and implementation priority
Output
- Cost analysis report with per-service breakdown and savings recommendations
- Terraform/CloudFormation changes for rightsizing and reserved instance purchases
- S3 lifecycle policy configurations for storage tiering
- Budget alert configurations (CloudWatch, GCP Budget, Azure Cost Alerts)
- Cleanup scripts for idle resources (with dry-run mode for safety)
Error Handling
| Error | Cause | Solution |
|---|---|---|
Access Denied on Cost Explorer API | Missing ce:* IAM permissions | Attach the AWSBillingReadOnlyAccess managed policy to the IAM user/role |
No billing data available | Account is too new or cost export not enabled | Enable Cost Explorer (takes 24h to populate) or set up CUR (Cost and Usage Report) |
Rightsizing recommendation breaks workload | Instance too small for peak load | Base sizing on P95 utilization, not average; keep a 20% headroom buffer |
Spot instance terminated mid-job | Spot capacity reclaimed by provider | Use spot fleet with diversified instance types and implement checkpointing |
Budget alert not firing | SNS topic or notification channel misconfigured | Verify SNS subscription is confirmed and test with a low threshold |
Examples
- "Analyze AWS costs for the last 3 months, identify the top waste areas, and generate a cleanup script for unattached EBS volumes and unused Elastic IPs."
- "Compare on-demand EC2 spend against Savings Plans pricing and recommend 1-year commitments for steady-state workloads."
- "Create S3 lifecycle policies to move objects older than 90 days to Glacier and delete after 365 days across all buckets tagged
env:production."
Resources
- AWS Cost Explorer: https://docs.aws.amazon.com/cost-management/latest/userguide/ce-what-is.html
- GCP Cost Management: https://cloud.google.com/billing/docs/how-to/budgets
- Azure Cost Management: https://learn.microsoft.com/en-us/azure/cost-management-billing/
- FinOps Foundation: https://www.finops.org/framework/
Signals
- GitHub stars
- 3k
- Forks
- 415
- Last commit
- Oct 2026
Advanced
- Item type
- skill
- Key
optimizing-cloud-costs- Source
- github.com/jeremylongshore/tons-of-skills-marketplace
github.com/jeremylongshore/tons-of-skills-marketplace
Related picks
Skill · awslabs
The pick for AWSaws-health-events
Skill · aws
The pick for AWSazure-quotas
Skill · microsoft
The pick for Azureazure-cosmos-db
Skill · microsoftdocs
The pick for Azuregcp-examples-expert
Skill · jeremylongshore
The pick for GCPgcp-security-scanner
Skill · a5c-ai
The pick for GCP