Is this skill integrated with Specweave?

Yes, it is designed as a plugin for the Specweave autonomous development framework to ensure production software is cost-optimized by default.

How does it help with serverless costs like AWS Lambda?

The skill provides patterns for memory tuning, duration optimization, and cost-efficient configuration of triggers and concurrency models.

Can it assist with commitment-based savings?

Yes, it includes a decision matrix for choosing between Reserved Instances, Savings Plans, and Committed Use Discounts based on your workload consistency.

Does this skill work with all major cloud providers?

Yes, it provides expert optimization strategies specifically tailored for Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP).

Cloud Cost Optimizer

Name: Cloud Cost Optimizer
Author: anton-abyzov

byanton-abyzov

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云基础设施

Optimizes cloud expenditure across AWS, Azure, and GCP through advanced FinOps strategies and automated resource right-sizing.

关于

The Cloud Cost Optimizer skill transforms Claude into a specialized FinOps consultant capable of auditing and reducing cloud infrastructure spend. It provides deep technical guidance on compute right-sizing, serverless memory tuning, storage lifecycle management, and networking cost reduction. By leveraging 2024/2025 pricing models and commitment strategies like Reserved Instances and Savings Plans, this skill helps development teams build cost-efficient architectures and maintain continuous budget governance within the Specweave framework.

主要功能

Automated storage lifecycle and database right-sizing recommendations
Multi-cloud strategy for AWS, Azure, and GCP cost management
Tagging governance and FinOps chargeback implementation
Serverless resource tuning and memory optimization patterns
Commitment modeling for Reserved Instances and Savings Plans
13 GitHub stars

使用场景

Reducing monthly cloud bills through automated resource right-sizing
Implementing a standardized tagging and cost-allocation strategy
Optimizing serverless functions for maximum performance-to-price ratio

关于

主要功能

Automated storage lifecycle and database right-sizing recommendations
Multi-cloud strategy for AWS, Azure, and GCP cost management
Tagging governance and FinOps chargeback implementation
Serverless resource tuning and memory optimization patterns
Commitment modeling for Reserved Instances and Savings Plans
13 GitHub stars

使用场景

Reducing monthly cloud bills through automated resource right-sizing
Implementing a standardized tagging and cost-allocation strategy
Optimizing serverless functions for maximum performance-to-price ratio