Which cloud providers are supported?

The skill includes specific optimization strategies, patterns, and CLI guidance for Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP).

Is this skill compatible with Terraform?

Yes, the skill provides Terraform-ready configurations for resource tagging, S3 lifecycle rules, auto-scaling policies, and cloud budget management.

How does this skill help reduce cloud costs?

It provides systematic frameworks for resource right-sizing, pricing model selection (like Spot or Reserved instances), and automated lifecycle policies to eliminate waste.

Does it support serverless architectures?

Absolutely, it includes 'Serverless First' architecture patterns that focus on paying only for execution time and avoiding idle resource costs.

Can it automate cost monitoring?

Yes, it includes Infrastructure as Code snippets for setting up budget alerts and cost anomaly detection to prevent surprise billing and maintain governance.

Cloud Cost Optimization

Name: Cloud Cost Optimization
Author: HermeticOrmus

byHermeticOrmus

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云基础设施

Reduces cloud infrastructure expenses by implementing resource rightsizing, automated scaling, and strategic pricing models across major cloud providers.

The Cloud Cost Optimization skill empowers Claude to audit and optimize cloud environments across AWS, Azure, and GCP. It provides structured frameworks for improving cost visibility through tagging, reducing waste via resource right-sizing, and leveraging advanced pricing models like Reserved Instances and Spot VMs. Whether you are building high-scale games or enterprise applications, this skill helps implement automated cost governance, budget monitoring, and architectural patterns that ensure high performance while minimizing monthly cloud spend.

主要功能

01Standardized tagging strategies for improved cost allocation and visibility

024 GitHub stars

03Infrastructure as Code (Terraform) snippets for S3 lifecycles, budgets, and auto-scaling

04Multi-cloud cost strategies for AWS, Azure, and Google Cloud Platform

05Best practices for serverless and multi-tier storage architecture patterns

06Guidance on leveraging Reserved Instances, Savings Plans, and Spot instances

使用场景

01Analyzing and reducing monthly cloud bills for over-provisioned infrastructure

02Transitioning legacy workloads to more cost-effective serverless or spot-instance architectures

03Implementing automated cost governance and budget alerts via Infrastructure as Code

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add hermeticormus/claude-code-game-development cost-optimization

For use in Claude.ai and ChatGPT

Download Skill