Does it provide advice on Reserved Instances?

Yes, it offers detailed comparisons and implementation strategies for Reserved Instances, Savings Plans, and Committed Use Discounts across different providers.

Which cloud providers does this skill support?

This skill supports the 'Big Three' providers: Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP).

Can it help automate cost saving with Infrastructure as Code?

Yes, it includes specialized Terraform snippets for configuring budget alerts, S3 lifecycle transitions, and auto-scaling policies to automate cost management.

What is the primary focus of the optimization framework?

The framework focuses on four key pillars: Visibility (tagging and monitoring), Right-Sizing, Pricing Models (commitments and spot), and Architecture Optimization.

Cloud Cost Optimizer

Name: Cloud Cost Optimizer
Author: Activer007

byActiver007

Cloud Infrastructure

Reduces cloud expenditures through resource rightsizing, reserved capacity strategies, and automated cost governance across AWS, Azure, and GCP.

About

The Cloud Cost Optimizer skill provides Claude with a comprehensive framework for systematically reducing cloud spending while maintaining high performance and reliability. It enables users to implement advanced cost-saving patterns such as automated tagging for cost allocation, S3 lifecycle management, and optimal pricing model selection including Reserved Instances and Spot instances. By leveraging Infrastructure as Code templates and best-practice governance policies, this skill helps developers and DevOps engineers transform cloud environments into cost-efficient infrastructures through visibility, rightsizing, and architectural improvements.

Key Features

Resource rightsizing and idle asset identification logic
Automated tagging strategies for granular cost allocation
0 GitHub stars
Reserved Instance and Savings Plan strategy recommendations
Multi-cloud support for AWS, Azure, and Google Cloud Platform
Terraform templates for budgets, lifecycle policies, and auto-scaling

Use Cases

Optimizing storage and compute costs using automated lifecycle and spot instance patterns
Reducing monthly cloud bills through systematic infrastructure auditing
Implementing cost governance and department-level chargeback systems

About

Key Features

Resource rightsizing and idle asset identification logic
Automated tagging strategies for granular cost allocation
0 GitHub stars
Reserved Instance and Savings Plan strategy recommendations
Multi-cloud support for AWS, Azure, and Google Cloud Platform
Terraform templates for budgets, lifecycle policies, and auto-scaling

Use Cases

Optimizing storage and compute costs using automated lifecycle and spot instance patterns
Reducing monthly cloud bills through systematic infrastructure auditing
Implementing cost governance and department-level chargeback systems