How does this skill help reduce AWS costs?

It provides strategies for utilizing Savings Plans, Reserved Instances, and Spot instances, along with Terraform examples for S3 lifecycle policies and budget alerts.

Is this skill useful for serverless architectures?

Absolutely. It promotes 'Serverless First' patterns to ensure you only pay for actual execution time and avoid the costs associated with idle resources.

Can it assist with multi-cloud cost management?

Yes, it includes specific optimization frameworks, pricing models, and monitoring tools for AWS, Azure, and Google Cloud Platform (GCP).

What is the benefit of the tagging strategy included?

It implements a standardized tagging schema (Environment, Owner, CostCenter) that allows teams to track spending accurately and automate cost allocation.

Does it include code examples for automation?

Yes, it features production-ready HCL (Terraform) snippets for configuring AWS budgets, autoscaling policies, and S3 storage transitions.

Cloud Cost Optimization

Name: Cloud Cost Optimization
Author: Microck

byMicrock

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云基础设施

Optimizes cloud infrastructure spending through systematic resource rightsizing, pricing strategy implementation, and cost governance.

关于

This skill provides Claude with specialized knowledge to analyze and reduce cloud expenses across AWS, Azure, and GCP using a multi-pillar framework. It implements systematic strategies for visibility through tagging, resource right-sizing based on utilization metrics, and the strategic application of pricing models like Reserved Instances and Spot VMs. By integrating architectural patterns like serverless-first design and automated lifecycle policies, this skill enables developers to maintain high performance and reliability while significantly lowering monthly cloud expenditures and meeting strict budget constraints.

主要功能

Best practices for leveraging Spot instances, Savings Plans, and Reserved capacity.
81 GitHub stars
Comprehensive tagging strategies for granular cost allocation and visibility.
Rightsizing guidance for compute instances, databases, and storage tiers.
Infrastructure-as-Code (Terraform) patterns for budgets and lifecycle policies.
Multi-cloud optimization strategies for AWS, Azure, and Google Cloud Platform.

使用场景

Identifying and downsizing over-provisioned cloud resources to reduce waste.
Optimizing storage costs through automated lifecycle transitions and multi-tier patterns.
Automating cost governance using budget alerts and infrastructure-as-code policies.

关于

主要功能

Best practices for leveraging Spot instances, Savings Plans, and Reserved capacity.
81 GitHub stars
Comprehensive tagging strategies for granular cost allocation and visibility.
Rightsizing guidance for compute instances, databases, and storage tiers.
Infrastructure-as-Code (Terraform) patterns for budgets and lifecycle policies.
Multi-cloud optimization strategies for AWS, Azure, and Google Cloud Platform.

使用场景

Identifying and downsizing over-provisioned cloud resources to reduce waste.
Optimizing storage costs through automated lifecycle transitions and multi-tier patterns.
Automating cost governance using budget alerts and infrastructure-as-code policies.