What is the primary focus of the cost framework?

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

Is this skill useful for FinOps teams?

Absolutely, it aligns with FinOps best practices by promoting cost visibility, resource accountability, and continuous optimization through automated policies.

How does this skill help reduce AWS costs?

It provides strategies for using Savings Plans, Spot instances, and S3 lifecycle policies to cut compute and storage expenses significantly.

Can it help with infrastructure-as-code?

The skill includes production-ready Terraform snippets for implementing budget alerts, tagging standards, and auto-scaling policies.

Does it support multi-cloud environments?

Yes, it includes specific optimization patterns, pricing models, and commitment-based discount strategies for AWS, Microsoft Azure, and Google Cloud Platform.

Cloud Cost Optimization

Name: Cloud Cost Optimization
Author: Microck

byMicrock

•

108

Cloud Infrastructure

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

About

The Cloud Cost Optimization skill provides Claude with specialized knowledge to analyze and reduce cloud expenses across major providers including AWS, Azure, and GCP. It implements a multi-pillared framework focusing on visibility through tagging, resource rightsizing, leveraging advanced pricing models like Reserved Instances and Spot instances, and adopting cost-efficient architectural patterns. This skill is essential for DevOps teams and cloud architects looking to implement systematic cost governance, set up automated budget alerts, and optimize storage and compute utilization without compromising application performance or reliability.

Key Features

Infrastructure rightsizing and idle resource identification patterns.
Multi-cloud cost management strategies for AWS, Azure, and GCP.
108 GitHub stars
Implementation guides for Reserved Instances, Savings Plans, and Spot instances.
Automated tagging strategies and cost allocation frameworks.
Storage lifecycle policy optimization and multi-tier storage patterns.

Use Cases

Architecting serverless or auto-scaled environments to minimize idle compute costs.
Reducing monthly cloud bills by identifying over-provisioned or idle resources.
Implementing organization-wide cloud cost governance and tagging policies.

About

Key Features

Infrastructure rightsizing and idle resource identification patterns.
Multi-cloud cost management strategies for AWS, Azure, and GCP.
108 GitHub stars
Implementation guides for Reserved Instances, Savings Plans, and Spot instances.
Automated tagging strategies and cost allocation frameworks.
Storage lifecycle policy optimization and multi-tier storage patterns.

Use Cases

Architecting serverless or auto-scaled environments to minimize idle compute costs.
Reducing monthly cloud bills by identifying over-provisioned or idle resources.
Implementing organization-wide cloud cost governance and tagging policies.