Terraform Patterns

Terraform Patterns

Terraform infrastructure-as-code agent skill and plugin for Claude Code, Codex, Gemini CLI, Cursor, OpenClaw. Covers module design patterns, state man

Category: development Source: alirezarezvani/claude-skills

What Is Terraform Patterns?

Terraform Patterns is a specialized agent skill and plugin designed for Claude Code, Codex, Gemini CLI, Cursor, and OpenClaw. It empowers developers and DevOps engineers to write, review, and maintain robust Terraform infrastructure-as-code by providing a curated set of patterns, workflows, and commands. Unlike generic Terraform tutorials, Terraform Patterns encapsulates concrete best practices for module design, state management, provider configuration, security hardening, policy-as-code, and CI/CD integration. This skill is especially useful for teams seeking to elevate their Terraform codebase to production-grade quality, reduce operational risk, and enable scalable, reliable infrastructure management.

Why Use Terraform Patterns?

Terraform’s flexibility is both its strength and weakness. Without explicit conventions and structure, Terraform codebases can become unwieldy, insecure, and prone to drift or outages. Terraform Patterns addresses these challenges by enforcing opinionated patterns drawn from real-world experience. With this skill, teams can:

  • Accelerate Infrastructure Delivery: Standardized patterns enable faster onboarding, code reuse, and predictable outcomes.
  • Reduce Incidents: Security audits, strict state management, and module boundaries help prevent misconfigurations and outages.
  • Improve Collaboration: Consistent code structure and review commands foster better teamwork and knowledge sharing.
  • Enable CI/CD and Automation: Clear patterns and workflows integrate seamlessly with automated pipelines, reducing manual toil.
  • Pass Security and Compliance Reviews: Built-in security checks and policy-as-code support help meet organizational and regulatory requirements.

How to Get Started

To leverage Terraform Patterns, you must have one of the supported AI code platforms (e.g., Claude Code, Codex, Gemini CLI, Cursor, or OpenClaw) and install the skill from its GitHub repository. Once installed, you can use slash commands within your AI assistant, code editor, or CLI to invoke the skill’s features.

Example: Reviewing a Terraform module for anti-patterns

/terraform:review path/to/module

Example: Designing a new Terraform module

/terraform:module aws_s3_bucket

Example: Security auditing a Terraform codebase

/terraform:security path/to/main.tf

These commands trigger the skill to analyze code, suggest improvements, and enforce best practices interactively.

Key Features

Terraform Patterns offers a comprehensive set of features tailored for professional infrastructure engineering:

  • Module Design Patterns: Recommends module boundaries, input/output definitions, composition, and reusable abstractions.

    Example: Enforcing clear module inputs and outputs

    variable "bucket_name" { type = string }
output "bucket_arn" {
  value = aws_s3_bucket.bucket.arn
}

  • State Management Strategies: Guides configuration of remote backends (S3, GCS, Azure Blob), state locking, and team workflows.

    Example: S3 backend with DynamoDB state locking

    terraform {
  backend "s3" {
    bucket         = "my-tf-state"
    key            = "prod/terraform.tfstate"
    region         = "us-east-1"
    dynamodb_table = "my-tf-lock"
    encrypt        = true
  }
}

  • Provider Patterns: Enforces explicit provider versions and segregated provider blocks for multi-region or multi-account deployments.

    Example: Explicit provider versioning

    terraform {
  required_providers {
    aws = {
      source  = "hashicorp/aws"
      version = "~> 5.0"
    }
  }
}

  • Security Hardening: Audits code for common vulnerabilities, secret exposures, and IAM misconfigurations.

  • Policy-as-Code Integration: Supports Sentinel and OPA policies for compliance and governance enforcement.

  • CI/CD Workflow Guidance: Recommends patterns for terraform plan and terraform apply in automated pipelines, including plan file promotion and manual approval gates.

Best Practices

Leveraging Terraform Patterns maximizes its value when combined with discipline and team conventions:

  • Always Pin Provider and Module Versions: Prevents unexpected upgrades and code drift.
  • Use Remote Backends with State Locking: Avoids state corruption during collaborative work.
  • Limit Module Scope: Small, focused modules are easier to test, review, and reuse.
  • Never Store Secrets in Code: Use references to secret managers or environment variables.
  • Enforce Code Reviews: Use /terraform:review as a mandatory step before merging changes.
  • Automate Security Audits: Integrate /terraform:security checks in your CI/CD pipeline.
  • Document Module Interfaces: Clearly describe inputs, outputs, and usage in README files.
  • Implement Policy-as-Code: Mandate Sentinel or OPA checks for resource creation and updates.

Important Notes

  • Not a Replacement for Terraform Documentation: Terraform Patterns complements, but does not replace, official Terraform documentation or provider guides.
  • Opinionated Defaults: The patterns are intentionally prescriptive, which may require adapting existing codebases for full adoption.
  • Skill Maintenance: The skill is actively maintained; stay updated for new patterns, features, and compatibility notes.
  • Security Limitations: Automated checks cannot catch all vulnerabilities; always combine with manual review and external audits.
  • Platform Compatibility: Although designed for multiple AI assistants and editors, some features may vary by platform or require additional configuration.

By adopting Terraform Patterns, organizations can transform their infrastructure-as-code workflow into a predictable, secure, and maintainable discipline—eliminating the pitfalls of ad-hoc Terraform usage and empowering teams to deliver reliable cloud infrastructure at scale.