What is the primary focus of this Claude Code skill?

The primary focus is applying FinOps principles—Visibility, Optimization, and Governance—to modern cloud infrastructure to maximize ROI.

Can it provide Infrastructure as Code (IaC) snippets?

Yes, it includes HCL and Terraform snippets for implementing cost-saving measures like S3 transition rules and standardized resource tagging.

Which cloud providers are supported by this skill?

The skill includes best practices and CLI commands for major providers including Amazon Web Services (AWS), Google Cloud Platform (GCP), and Microsoft Azure.

How does this skill help reduce cloud costs?

It provides Claude with specific patterns for identifying resource waste, rightsizing over-provisioned instances, and implementing automated storage lifecycle policies.

Cloud Cost Optimization

Name: Cloud Cost Optimization
Author: timequity

bytimequity

云基础设施

Optimizes cloud infrastructure spending through rightsizing, FinOps principles, and automated resource management strategies.

关于

The Cloud Cost Optimization skill empowers Claude with domain-specific knowledge to significantly reduce cloud bills across AWS, GCP, and Azure. It enables Claude to identify underutilized resources, recommend strategic moves between reserved and spot instances, and implement automated S3 lifecycle policies for storage tiering. By providing actionable CLI commands and Infrastructure-as-Code snippets, this skill helps engineering teams move from reactive billing to proactive FinOps governance, ensuring every dollar spent on cloud infrastructure is justified and efficient.

主要功能

Standardized tagging strategies for improved cost visibility and attribution.
Strategic guidance on Spot vs. Reserved instance allocation.
Rightsizing recommendations based on CPU and memory utilization metrics.
Multi-cloud support for AWS, GCP, and Azure billing workflows.
Automated storage lifecycle management and tiering configurations.
0 GitHub stars

使用场景

Implementing S3 lifecycle rules to transition archival data to low-cost storage tiers automatically.
Developing a robust cloud tagging policy to ensure accurate cost center reporting.
Identifying and downsizing underutilized EC2 instances to reduce monthly infrastructure spend.

关于

主要功能

Standardized tagging strategies for improved cost visibility and attribution.
Strategic guidance on Spot vs. Reserved instance allocation.
Rightsizing recommendations based on CPU and memory utilization metrics.
Multi-cloud support for AWS, GCP, and Azure billing workflows.
Automated storage lifecycle management and tiering configurations.
0 GitHub stars

使用场景

Implementing S3 lifecycle rules to transition archival data to low-cost storage tiers automatically.
Developing a robust cloud tagging policy to ensure accurate cost center reporting.
Identifying and downsizing underutilized EC2 instances to reduce monthly infrastructure spend.