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terraform-patterns

Review Terraform code for anti-patterns, security issues, and structure problems.

Updated Apr 2, 2026
Search Tags:#state management#terraform#infrastructure-as-code#module design#security hardening
One-click install
npx skills add https://github.com/4lerman/text_evaluator --skill terraform-patterns-4lerman
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: terraform-patterns
Source: https://github.com/4lerman/text_evaluator/tree/main/.agents/skills/engineering-advanced-skills/terraform-patterns
Command: npx skills add https://github.com/4lerman/text_evaluator --skill terraform-patterns-4lerman

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires terraform, python, tfsec, tf lint, infracost, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill provides a comprehensive framework for designing, securing, and managing Terraform infrastructure, ensuring best practices are followed and resources are provisioned efficiently.

Core Features & Use Cases

  • Module Design: Offers guidelines for creating well-structured Terraform modules.
  • State Management: Provides strategies for managing state backends securely.
  • Security Hardening: Includes checks for security vulnerabilities in Terraform code.
  • Multi-Region Deployments: Assists in implementing multi-region infrastructure.
  • CI/CD Workflows: Integrates with CI/CD pipelines for automated deployment.
  • Use Case: If you are working on a complex Terraform setup and need to ensure it adheres to security best practices and follows established design patterns, this Skill can help you achieve that.

Quick Start

Run the /terraform:review command to analyze your Terraform code for anti-patterns, security issues, and structure problems.

Frequently Asked Questions about terraform-patterns

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I structure Terraform modules to follow infrastructure-as-code best practices?▼

Terraform module design best practices involve creating well-structured, reusable components for your infrastructure-as-code. This ensures resources are provisioned efficiently and complex setups adhere to established patterns, preventing configuration drift and simplifying maintenance across multi-environment deployments.

What is the best way to manage Terraform state backends securely across multiple environments?▼

Managing Terraform state securely requires specific strategies for configuring your state backends. Proper state management strategies prevent data loss and conflicts, ensuring your infrastructure-as-code deployments remain consistent and reliable across different environments and multi-region setups.

How do I check my Terraform code for security vulnerabilities and anti-patterns?▼

You can check Terraform code for security vulnerabilities by running automated security hardening analysis. This process reviews your configuration against established security best practices, identifying anti-patterns and structural issues to ensure your infrastructure-as-code is safe before deployment.

Do I need Python and tfsec to automate Terraform CI/CD workflows?▼

Automating Terraform CI/CD workflows typically requires Python, tfsec, tf lint, and infracost. These tools integrate into your pipelines to validate configuration, scan for security vulnerabilities, estimate costs, and ensure your infrastructure-as-code follows best practices before automated deployment.

Does this approach work for multi-region infrastructure deployments?▼

Yes, this approach specifically assists in implementing multi-region infrastructure deployments. By applying these Terraform design patterns and state management strategies, you can provision resources efficiently and maintain consistency across geographically distributed environments.

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