Which cloud providers does this skill support?

The skill provides patterns and best practices for the three major cloud providers: Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP).

What is the recommended module structure?

The skill promotes a standardized structure including main.tf, variables.tf, outputs.tf, versions.tf, and dedicated directories for examples and tests.

Can I use this skill to test my Terraform modules?

Yes, the skill includes specific patterns for implementing automated testing using Terratest to ensure your infrastructure code works as expected.

Does this skill help with cost optimization?

While primarily focused on structure and reusability, it integrates with cost-optimization skills to ensure designs are both scalable and economical.

Terraform Module Library

Name: Terraform Module Library
Author: HermeticOrmus

byHermeticOrmus

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云基础设施

Builds reusable, production-ready Terraform modules for AWS, Azure, and GCP following infrastructure-as-code best practices.

关于

The Terraform Module Library skill provides Claude Code with a comprehensive framework for architecting and implementing standardized infrastructure-as-code (IaC) components. It offers detailed patterns for AWS, Azure, and GCP, ensuring that cloud resources are provisioned consistently across various environments. By incorporating best practices such as input validation, modular structure, semantic versioning, and Terratest integration, this skill enables developers to create scalable, maintainable, and highly reusable infrastructure modules that meet enterprise-grade production requirements.

主要功能

Pre-defined validation blocks for robust input variable management
Standardized directory structures for consistent module development
2 GitHub stars
Integrated Terratest patterns for automated infrastructure validation
Multi-cloud support for AWS, Azure, and Google Cloud Platform patterns
Best practice guidance for tagging, versioning, and resource composition

使用场景

Migrating manual cloud configurations into reusable, versioned IaC modules
Standardizing infrastructure provisioning across multiple engineering teams
Scaffolding production-grade VPCs, Kubernetes clusters, and database instances

关于

主要功能

Pre-defined validation blocks for robust input variable management
Standardized directory structures for consistent module development
2 GitHub stars
Integrated Terratest patterns for automated infrastructure validation
Multi-cloud support for AWS, Azure, and Google Cloud Platform patterns
Best practice guidance for tagging, versioning, and resource composition

使用场景

Migrating manual cloud configurations into reusable, versioned IaC modules
Standardizing infrastructure provisioning across multiple engineering teams
Scaffolding production-grade VPCs, Kubernetes clusters, and database instances