Which cloud providers are supported by this skill?

This skill supports all major cloud providers, including Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP).

Can it automatically apply changes to my cloud environment?

The skill provides specific recommendations and configuration code; you can then use Claude's integrated tools or your own CI/CD pipelines to apply these changes securely.

Is this skill useful for multi-cloud environments?

Yes, it is designed to handle cross-provider requests, making it ideal for organizations managing resources across different cloud ecosystems simultaneously.

How does it identify cost-saving opportunities?

It analyzes resource utilization metrics, identifies idle resources that are still accruing costs, and suggests moving to more efficient instance types or pricing models.

Does it provide detailed financial reports?

Yes, it generates comprehensive cost reports summarizing current spending, identified waste, and the potential ROI of suggested optimizations.

Cloud Cost Optimizer

Name: Cloud Cost Optimizer
Author: BbgnsurfTech

byBbgnsurfTech

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Cloud Infrastructure

Optimizes cloud infrastructure spending by identifying underutilized resources and recommending cost-saving configurations for AWS, Azure, and GCP.

About

This skill transforms Claude into a FinOps expert, allowing users to analyze their cloud environments for potential savings and efficiency gains. It evaluates resource utilization across major providers like AWS, Azure, and GCP to recommend instance rightsizing, identify idle resources, and suggest commitment-based discounts like Reserved Instances. By generating detailed cost reports and providing production-ready configuration changes, it helps engineering teams maintain lean infrastructure and maximize their return on cloud investment.

Key Features

Identification and reporting of idle or unattached cloud resources
Automated resource utilization analysis for AWS, Azure, and GCP
Detailed cost-benefit reports with potential savings projections
Production-ready configuration suggestions for infrastructure optimization
Intelligent rightsizing recommendations for compute instances
3 GitHub stars

Use Cases

Automating the cleanup of unused storage and idle development environments
Generating comprehensive FinOps reports for stakeholders and management
Reducing monthly AWS EC2 or Azure VM expenses through rightsizing

About

Key Features

Identification and reporting of idle or unattached cloud resources
Automated resource utilization analysis for AWS, Azure, and GCP
Detailed cost-benefit reports with potential savings projections
Production-ready configuration suggestions for infrastructure optimization
Intelligent rightsizing recommendations for compute instances
3 GitHub stars

Use Cases

Automating the cleanup of unused storage and idle development environments
Generating comprehensive FinOps reports for stakeholders and management
Reducing monthly AWS EC2 or Azure VM expenses through rightsizing