How does it handle resource right-sizing?

It provides a framework to analyze utilization metrics, downsize over-provisioned resources, and implement auto-scaling to match capacity with demand.

Does this skill support multi-cloud environments?

Yes, it provides specific cost-saving strategies and implementation patterns for AWS, Microsoft Azure, and Google Cloud Platform (GCP).

Can Claude help automate cost management with this skill?

Absolutely. The skill includes Terraform examples for setting up budget alerts, S3 lifecycle policies, auto-scaling, and tagging structures.

What pricing models are covered?

The skill covers Reserved Instances, Savings Plans, Spot/Preemptible instances, and Committed Use Discounts across different providers.

Cloud Cost Optimization

Name: Cloud Cost Optimization
Author: Activer007

byActiver007

Infraestructura en la Nube

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

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This Claude Code Skill provides a comprehensive framework for managing and reducing cloud expenditures across major providers. It enables Claude to assist developers and DevOps engineers in identifying over-provisioned resources, implementing standardized tagging strategies for cost visibility, and leveraging advanced pricing models like Reserved Instances, Savings Plans, and Spot instances. By providing actionable patterns and Infrastructure as Code (IaC) snippets, the skill helps teams maintain high performance and reliability while systematically eliminating cloud waste and meeting budget constraints.

Características Principales

Multi-cloud optimization patterns for AWS, Azure, and GCP
Resource right-sizing and lifecycle policy implementation strategies
0 GitHub stars
Standardized tagging conventions for granular cost allocation
Terraform snippets for automated cost governance and budget alerts
Pricing model analysis including Spot instances and Savings Plans

Casos de Uso

Implementing automated budget alerts and cost anomaly detection via IaC
Reducing monthly cloud bills by identifying and downsizing underutilized resources
Architecting serverless-first solutions to minimize idle resource costs

Acerca de

Características Principales

Multi-cloud optimization patterns for AWS, Azure, and GCP
Resource right-sizing and lifecycle policy implementation strategies
0 GitHub stars
Standardized tagging conventions for granular cost allocation
Terraform snippets for automated cost governance and budget alerts
Pricing model analysis including Spot instances and Savings Plans

Casos de Uso

Implementing automated budget alerts and cost anomaly detection via IaC
Reducing monthly cloud bills by identifying and downsizing underutilized resources
Architecting serverless-first solutions to minimize idle resource costs