Can this skill help with multi-cloud cost management?

Absolutely. It features a universal Cost Optimization Framework that covers visibility, right-sizing, pricing models, and architecture optimization applicable to any cloud environment.

Which cloud providers are supported by this skill?

The skill provides comprehensive optimization strategies and implementation patterns specifically for Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP).

Does this skill provide actual code for cost saving?

Yes, it includes Terraform snippets and configuration patterns for AWS budget alerts, S3 lifecycle configurations, auto-scaling policies, and standardized tagging structures.

How does this skill handle instance pricing models?

It provides detailed breakdowns and savings percentages for various commitment-based models, including Reserved Instances, Savings Plans, and Spot/Preemptible instances across all three major providers.

Cloud Cost Optimization

Name: Cloud Cost Optimization
Author: HermeticOrmus

byHermeticOrmus

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云基础设施

Optimizes cloud infrastructure expenses across major providers through resource rightsizing, pricing strategy implementation, and systematic cost governance.

关于

The Cloud Cost Optimization skill empowers Claude to act as a FinOps consultant, providing systematic frameworks to reduce cloud spending across AWS, Azure, and GCP. It provides actionable strategies for visibility, resource rightsizing, and leveraging advanced pricing models like Reserved Instances and Spot instances. By implementing the included Infrastructure-as-Code patterns for budget alerts, lifecycle policies, and auto-scaling, teams can maintain high performance and reliability while significantly lowering their monthly cloud bill and improving resource utilization.

主要功能

Rightsizing guidance to eliminate over-provisioning and idle resource waste
Infrastructure-as-Code patterns for automated budget alerts and cost monitoring
Pricing model analysis for Savings Plans, Reserved Instances, and Spot/Preemptible VMs
Standardized tagging strategies for improved cost allocation and department chargebacks
Multi-cloud optimization strategies for AWS, Azure, and Google Cloud Platform
2 GitHub stars

使用场景

Reducing monthly cloud expenditures for over-provisioned production environments
Establishing a cloud governance framework with standardized tagging and budget notifications
Implementing automated storage lifecycle policies to move cold data to cheaper tiers

关于

主要功能

Rightsizing guidance to eliminate over-provisioning and idle resource waste
Infrastructure-as-Code patterns for automated budget alerts and cost monitoring
Pricing model analysis for Savings Plans, Reserved Instances, and Spot/Preemptible VMs
Standardized tagging strategies for improved cost allocation and department chargebacks
Multi-cloud optimization strategies for AWS, Azure, and Google Cloud Platform
2 GitHub stars

使用场景

Reducing monthly cloud expenditures for over-provisioned production environments
Establishing a cloud governance framework with standardized tagging and budget notifications
Implementing automated storage lifecycle policies to move cold data to cheaper tiers