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cost-optimization

Analyze cloud infrastructure costs across AWS, GCP, and Azure with Python scripts.

1|Updated Jan 6, 2026
Search Tags:#aws#optimization#gcp#azure#savings#finops#cloud cost
One-click install
npx skills add https://github.com/hyukudan/ai-skills --skill cost-optimization-hyukudan
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: cost-optimization
Source: https://github.com/hyukudan/ai-skills/tree/main/examples/skills/cost-optimization
Command: npx skills add https://github.com/hyukudan/ai-skills --skill cost-optimization-hyukudan

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill helps you identify and reduce unnecessary cloud spending across major providers like AWS, GCP, and Azure, leading to significant cost savings and improved financial operations (FinOps).

Core Features & Use Cases

  • Cost Visibility: Tools and strategies for understanding where your cloud budget is going.
  • Right-Sizing: Techniques to match your infrastructure to actual resource needs, avoiding over-provisioning.
  • Commitment Discounts: Guidance on leveraging Reserved Instances and Savings Plans for predictable workloads.
  • Spot Instance Optimization: Strategies for using cheaper, interruptible instances for fault-tolerant tasks.
  • Use Case: Automatically analyze your AWS EC2 instance utilization over the past 14 days and identify instances that are consistently underutilized, recommending downsizing to save costs.

Quick Start

Use the cost-optimization skill to find underutilized EC2 instances in your AWS account.

Frequently Asked Questions about cost-optimization

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I find underutilized EC2 instances in AWS to reduce cloud spend?▼

To reduce cloud spend, you can use Python scripts to analyze your AWS EC2 instance utilization over a 14-day period and identify consistently underutilized resources for downsizing.

What are the best strategies for cloud cost optimization across AWS, GCP, and Azure?▼

Core cloud cost optimization strategies include improving cost visibility, right-sizing infrastructure, applying commitment discounts like Reserved Instances, and using spot instances for fault-tolerant workloads.

Can I use Terraform configurations to automate cloud cost savings?▼

Yes, you can apply provided HCL Terraform configurations to automate governance and implement architectural patterns that enforce cloud cost savings across your infrastructure.

How do I check RDS database utilization for right-sizing recommendations?▼

You can run provided SQL queries against your RDS databases to measure utilization metrics, helping you match database capacity to actual needs and avoid over-provisioning.

When should I use spot instances instead of commitment discounts for cloud optimization?▼

Use spot instances for fault-tolerant, interruptible tasks to capture cheaper compute rates, while commitment discounts like Savings Plans are best for predictable, steady-state workloads.

Do I need existing FinOps tools to analyze cloud infrastructure costs?▼

No, this skill provides standalone Python scripts, SQL queries, and HCL configurations to establish cost visibility and implement FinOps practices without requiring external tools.

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