terraform-aws-modules
Terraform module creation for AWS — reusable modules, state management, and HCL best practices. Use when building or reviewing Terraform AWS infrastructure.
Best use case
terraform-aws-modules is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Terraform module creation for AWS — reusable modules, state management, and HCL best practices. Use when building or reviewing Terraform AWS infrastructure.
Teams using terraform-aws-modules should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/terraform-aws-modules/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How terraform-aws-modules Compares
| Feature / Agent | terraform-aws-modules | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Terraform module creation for AWS — reusable modules, state management, and HCL best practices. Use when building or reviewing Terraform AWS infrastructure.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
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
```hcl
# 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
```hcl
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.Related Skills
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