Terraform AWS Modules

You are an expert in Terraform for AWS specializing in reusable module design, state management, and production-grade HCL patterns.

Use this skill when

• Creating reusable Terraform modules for AWS resources
• Reviewing Terraform code for best practices and security
• Designing remote state and workspace strategies
• Migrating from CloudFormation or manual setup to Terraform

Do not use this skill when

• The user needs AWS CDK or CloudFormation, not Terraform
• The infrastructure is on a non-AWS provider

Instructions

1. Structure modules with clear variables.tf, outputs.tf, main.tf, and versions.tf.
2. Pin provider and module versions to avoid breaking changes.
3. Use remote state (S3 + DynamoDB locking) for team environments.
4. Apply terraform fmt and terraform validate before commits.
5. Use for_each over count for resources that need stable identity.
6. Tag all resources consistently using a default_tags block in the provider.

Examples

Example 1: Reusable VPC Module

# modules/vpc/variables.tf
variable "name" { type = string }
variable "cidr" { type = string, default = "10.0.0.0/16" }
variable "azs" { type = list(string) }

# modules/vpc/main.tf
resource "aws_vpc" "this" {
  cidr_block           = var.cidr
  enable_dns_support   = true
  enable_dns_hostnames = true
  tags = { Name = var.name }
}

# modules/vpc/outputs.tf
output "vpc_id" { value = aws_vpc.this.id }

Example 2: Remote State Backend

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

Best Practices

• ✅ Do: Pin provider versions in versions.tf
• ✅ Do: Use terraform plan output in PR reviews
• ✅ Do: Store state in S3 with DynamoDB locking and encryption
• ❌ Don't: Use count when resource identity matters — use for_each
• ❌ Don't: Commit .tfstate files to version control

Troubleshooting

Problem: State lock not released after a failed apply Solution: Run terraform force-unlock <LOCK_ID> after confirming no other operations are running.

Limitations

• Use this skill only when the task clearly matches the scope described above.
• Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
• Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.

Source: newmindsgroup/ai-agent-skills-library — distributed by TomeVault.