MR
Mayur Rathi
@mayurrathi
⭐ 40.7k GitHub stars

Terraform Aws Modules

Terraform Aws Modules is an code AI skill with a core value of Terraform module creation for AWS — reusable modules, state management, and HCL best practices. It helps developers solve real-world problems in the code domain, boosting efficiency, automating repetitive tasks, and optimizing workflows.

Terraform module creation for AWS — reusable modules, state management, and HCL best practices. Use when building or reviewing Terraform AWS infrastructure.

Last verified on: 2026-07-07

Quick Facts

Category code
Works With Claude
Source sickn33/antigravity-awesome-skills
Stars ⭐ 40.7k
Last Verified 2026-07-07
Risk Level Low
mkdir -p ./skills/terraform-aws-modules && curl -sfL https://raw.githubusercontent.com/sickn33/antigravity-awesome-skills/main/skills/terraform-aws-modules/SKILL.md -o ./skills/terraform-aws-modules/SKILL.md

Run in terminal / PowerShell. Requires curl (Unix) or PowerShell 5+ (Windows).

Skill Content

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.

🎯 Best For

  • Engineering teams doing code reviews
  • Open source maintainers
  • UI designers
  • Product designers
  • Claude users

💡 Use Cases

  • Reviewing pull requests for security vulnerabilities
  • Checking code style consistency
  • Generating component mockups
  • Creating design system tokens

📖 How to Use This Skill

  1. 1

    Install the Skill

    Copy the install command from the Terminal tab and run it. The SKILL.md file downloads to your local skills directory.

  2. 2

    Load into Your AI Assistant

    Open Claude and reference the skill. Paste the SKILL.md content or use the system prompt tab.

  3. 3

    Apply Terraform Aws Modules to Your Work

    Open your project in the AI assistant and ask it to apply the skill. Start with a small module to verify the output quality.

  4. 4

    Review and Refine

    Review AI suggestions before committing. Run tests, check for regressions, and iterate on the skill output.

❓ Frequently Asked Questions

Does this skill check for OWASP Top 10?

Security-focused review skills often include OWASP checks. Check the skill content for specific vulnerability categories covered.

Does this work with Figma?

Some design skills integrate with Figma plugins. Check the Works With section for supported tools.

Is Terraform Aws Modules compatible with Cursor and VS Code?

Yes — this skill works with any AI coding assistant including Cursor, VS Code with Copilot, and JetBrains IDEs.

Do I need specific dependencies for Terraform Aws Modules?

Check the install command and Works With section. Most code skills only require the AI assistant and your codebase.

How do I install Terraform Aws Modules?

Copy the install command from the Terminal tab and run it. The skill downloads to ./skills/terraform-aws-modules/SKILL.md, ready to use.

⚠️ Common Mistakes to Avoid

Blindly accepting AI suggestions

Always verify AI-generated review comments. Some suggestions may not apply to your specific codebase conventions.

Skipping usability testing

AI-generated designs should be validated with real users before development.

Skipping validation

Always test AI-generated code changes, even for simple refactors.

Missing dependency updates

Check if the skill requires updated dependencies or new packages.

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