Can this skill help with AWS Reserved Instances?

Yes, it includes specific analysis phases for Reserved Instance coverage and provides data-driven recommendations for purchase commitments.

Does it support automated cost monitoring?

It provides structured templates for anomaly detection and monthly savings reports to track progress against budget targets over time.

What is the Cloud Cost Optimization skill?

It is a specialized workflow for Claude Code that guides users through identifying, analyzing, and implementing cloud cost-saving measures.

How does it handle potential risks of downsizing?

The skill includes a built-in Risk Assessment Matrix that evaluates performance impacts and requires rollback plans before any optimization is implemented.

Cloud Cost Optimization

Name: Cloud Cost Optimization
Author: LerianStudio

byLerianStudio

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クラウドインフラストラクチャ

Streamlines cloud cost analysis and FinOps workflows to identify savings, manage reserved capacity, and eliminate infrastructure waste.

概要

The Cloud Cost Optimization skill provides a structured framework for managing cloud infrastructure spend through a systematic six-phase workflow. It enables AI agents to conduct deep-dive cost visibility reports, detect spending anomalies, and execute data-driven optimization strategies like rightsizing and reserved instance planning. By enforcing rigorous risk assessments and providing detailed implementation templates, this skill ensures that cost reductions are achieved without compromising system performance or stability.

主な機能

17 GitHub stars
Multi-dimensional cost visibility across services, accounts, and tags
Reserved Instance (RI) and Savings Plan coverage gap identification
Automated anomaly detection rules for early warning on spend spikes
Structured optimization risk matrix to prevent performance degradation
Comprehensive rightsizing analysis for underutilized compute and storage

ユースケース

Planning infrastructure rightsizing and reserved capacity commitments
Conducting monthly financial reviews and cost-allocation tagging audits
Investigating budget overruns and unexpected daily spend anomalies

概要

主な機能

17 GitHub stars
Multi-dimensional cost visibility across services, accounts, and tags
Reserved Instance (RI) and Savings Plan coverage gap identification
Automated anomaly detection rules for early warning on spend spikes
Structured optimization risk matrix to prevent performance degradation
Comprehensive rightsizing analysis for underutilized compute and storage

ユースケース

Planning infrastructure rightsizing and reserved capacity commitments
Conducting monthly financial reviews and cost-allocation tagging audits
Investigating budget overruns and unexpected daily spend anomalies