Which cloud providers are supported?

The skill includes optimization strategies and patterns specifically designed for AWS, Microsoft Azure, and Google Cloud Platform (GCP).

Is this skill suitable for multi-cloud environments?

Yes, it provides a unified framework and specific tool recommendations for managing costs across heterogeneous cloud environments.

How does this skill help reduce cloud costs?

It provides systematic frameworks for rightsizing resources, utilizing reserved instances, and implementing lifecycle policies across major cloud providers.

Can I use this for automated cost governance?

Yes, it includes Infrastructure as Code (Terraform) patterns for setting up budget alerts, cost anomaly detection, and strict tagging requirements.

Does it support serverless architectures?

Absolutely. It includes patterns for 'Serverless First' designs and storage lifecycle management to ensure you only pay for what you use.

Cloud Cost Optimization

Name: Cloud Cost Optimization
Author: Microck

byMicrock

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Cloud Infrastructure

Optimizes multi-cloud infrastructure spending through resource rightsizing, reserved instance strategies, and automated cost governance.

About

This Claude Code Skill provides a comprehensive framework for managing and reducing cloud expenses across AWS, Azure, and Google Cloud Platform. It equips developers and DevOps engineers with systematic strategies for resource rightsizing, implementing tagging standards, and leveraging discount pricing models like Reserved Instances and Spot VMs. By integrating architectural best practices and automated monitoring patterns, the skill helps organizations maintain high-performance infrastructure while strictly adhering to budget constraints and financial governance policies.

Key Features

81 GitHub stars
Multi-cloud optimization strategies for AWS, Azure, and GCP
Automated tagging standards for cost allocation and tracking
Rightsizing patterns for compute, storage, and database resources
Implementation guides for reserved capacity and savings plan models
Terraform templates for budget alerts and resource lifecycle policies

Use Cases

Reducing monthly cloud bills by identifying and removing underutilized resources
Implementing financial governance and cost allocation across engineering teams
Architecting cost-efficient serverless and auto-scaling infrastructure

About

Key Features

81 GitHub stars
Multi-cloud optimization strategies for AWS, Azure, and GCP
Automated tagging standards for cost allocation and tracking
Rightsizing patterns for compute, storage, and database resources
Implementation guides for reserved capacity and savings plan models
Terraform templates for budget alerts and resource lifecycle policies

Use Cases

Reducing monthly cloud bills by identifying and removing underutilized resources
Implementing financial governance and cost allocation across engineering teams
Architecting cost-efficient serverless and auto-scaling infrastructure