Can I use this for Infrastructure as Code?

Absolutely. The skill includes production-ready Terraform examples for configuring lifecycle policies, auto-scaling groups, budget alerts, and tagging standards.

What pricing models are covered?

The skill includes guidance on Reserved Instances (RI), Savings Plans, Spot/Preemptible instances, and Committed Use Discounts (CUD) to maximize savings on steady workloads.

How does it help with resource rightsizing?

It provides a framework for analyzing utilization metrics to identify over-provisioned resources and recommends strategies for downsizing or using auto-scaling to match capacity with demand.

Does this skill support multi-cloud environments?

Yes, it provides specific optimization strategies and implementation patterns for Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP).

Cloud Cost Optimizer

Name: Cloud Cost Optimizer
Author: amurata

byamurata

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Infraestructura en la Nube

Optimizes cloud infrastructure spending through systematic resource rightsizing, pricing model strategies, and automated governance policies.

Acerca de

The Cloud Cost Optimizer skill equips Claude with specialized knowledge to analyze and reduce cloud expenditures across AWS, Azure, and Google Cloud Platform. It follows a structured framework focusing on visibility through tagging, resource rightsizing based on utilization metrics, and the strategic application of pricing models like Reserved Instances and Savings Plans. This skill is essential for DevOps teams and architects looking to meet budget constraints by implementing cost-efficient architectures, lifecycle policies, and automated monitoring alerts.

Características Principales

Implementation guides for Reserved Instances, Savings Plans, and Spot instances
3 GitHub stars
Multi-cloud optimization patterns for AWS, Azure, and GCP environments
Standardized tagging strategies for improved cost allocation and visibility
Infrastructure-as-Code (Terraform) snippets for cost-saving resource configurations
Systematic rightsizing analysis for compute, database, and storage resources

Casos de Uso

Implementing enterprise-wide cost governance and budget alerting systems
Optimizing storage costs via automated lifecycle transitions and multi-tier patterns
Reducing monthly cloud bills through rightsizing and automated resource cleanup

Acerca de

Características Principales

Implementation guides for Reserved Instances, Savings Plans, and Spot instances
3 GitHub stars
Multi-cloud optimization patterns for AWS, Azure, and GCP environments
Standardized tagging strategies for improved cost allocation and visibility
Infrastructure-as-Code (Terraform) snippets for cost-saving resource configurations
Systematic rightsizing analysis for compute, database, and storage resources

Casos de Uso

Implementing enterprise-wide cost governance and budget alerting systems
Optimizing storage costs via automated lifecycle transitions and multi-tier patterns
Reducing monthly cloud bills through rightsizing and automated resource cleanup