Terraform Best Practices

What it does

This skill enables AI agents to apply industry-standard guidelines for writing, structuring, and maintaining Terraform infrastructure-as-code files. It ensures configurations remain consistent, secure, and maintainable across complex cloud environments by enforcing best practices during generation or review.

When to use it

• You need to generate new Terraform modules that adhere to community standards without manual code auditing.
• Your team requires automated checks to prevent drift between desired state definitions and actual infrastructure.
• You are refactoring legacy Terraform codebases to improve readability and reduce technical debt.
• Security compliance mandates specific naming conventions, variable handling, or resource tagging strategies.

Key capabilities

• Validates HCL syntax and structural integrity against known patterns.
• Enforces consistent naming conventions for resources, variables, and outputs.
• Suggests modularization strategies to break down monolithic configurations.
• Recommends secure practices such as avoiding hardcoded secrets and using proper state locking.
• Ensures proper use of terraform blocks like required_providers, variable, and output.

Example prompts

• "Generate a Terraform configuration for an AWS VPC that follows terramate best practices, including proper variable definitions and output formatting."
• "Review this existing Terraform file and list specific violations of standard best practices regarding resource naming and state management."
• "Create a modular structure for a Kubernetes cluster deployment using Terraform, ensuring all modules are reusable and follow security guidelines."

Tips & gotchas

Ensure your AI agent has access to the latest Terraform documentation or schema definitions to provide accurate advice on version-specific features. This skill focuses on coding standards; it does not replace actual terraform validate or terraform plan execution in a real environment.