Which cloud providers does this skill support?

It provides comprehensive optimization strategies specifically for AWS, Azure, and Google Cloud Platform (GCP).

Does it provide code examples for implementation?

Yes, it includes practical Terraform patterns for S3 lifecycle policies, auto-scaling groups, and cloud-native budget alerts.

How does it help with cost visibility?

The skill provides standardized tagging frameworks and monitoring setups to ensure every cloud resource is tracked and allocated to the correct cost center.

Can it assist with architectural cost decisions?

Yes, it includes architectural patterns such as 'Serverless First' and multi-tier storage to help you design for cost-efficiency from the start.

Cloud Cost Optimization

Name: Cloud Cost Optimization
Author: lifangda

bylifangda

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云基础设施

Optimizes cloud infrastructure spending across AWS, Azure, and GCP through resource right-sizing, pricing strategies, and automated governance.

关于

This skill provides Claude with specialized knowledge and implementation patterns for reducing cloud expenses while maintaining performance and reliability. It covers a comprehensive framework including cost visibility through tagging, right-sizing over-provisioned resources, leveraging advanced pricing models like Reserved Instances and Savings Plans, and implementing architectural patterns like serverless and multi-tier storage. It is an essential tool for DevOps engineers and cloud architects looking to implement FinOps best practices and automated cost controls using Infrastructure as Code.

主要功能

Standardized tagging strategies for granular cost allocation and visibility
Specific guidance for Spot Instances, Savings Plans, and Committed Use Discounts
Terraform patterns for cost-optimized resource provisioning and lifecycle rules
Automated budget alerts and cost anomaly detection configurations
Multi-cloud cost strategies for AWS, Azure, and Google Cloud Platform
16 GitHub stars

使用场景

Reducing monthly cloud bills by identifying and downsizing underutilized resources
Implementing organization-wide cost governance and tagging standards via IaC
Transitioning production workloads to cost-effective models like Spot Instances or Savings Plans

关于

主要功能

Standardized tagging strategies for granular cost allocation and visibility
Specific guidance for Spot Instances, Savings Plans, and Committed Use Discounts
Terraform patterns for cost-optimized resource provisioning and lifecycle rules
Automated budget alerts and cost anomaly detection configurations
Multi-cloud cost strategies for AWS, Azure, and Google Cloud Platform
16 GitHub stars

使用场景

Reducing monthly cloud bills by identifying and downsizing underutilized resources
Implementing organization-wide cost governance and tagging standards via IaC
Transitioning production workloads to cost-effective models like Spot Instances or Savings Plans