terraform-module-scaffolder
Scaffolds new Terraform modules with standardized structure including main.tf, variables.tf, outputs.tf, versions.tf, and README.md. This skill should be used when users want to create a new Terraform module, set up module structure, or need templates for common infrastructure patterns like VPC, ECS, S3, or RDS modules.
$ Installer
git clone https://github.com/armanzeroeight/fastagent-plugins /tmp/fastagent-plugins && cp -r /tmp/fastagent-plugins/plugins/terraform-toolkit/skills/terraform-module-scaffolder ~/.claude/skills/fastagent-plugins// tip: Run this command in your terminal to install the skill
name: terraform-module-scaffolder description: Scaffolds new Terraform modules with standardized structure including main.tf, variables.tf, outputs.tf, versions.tf, and README.md. This skill should be used when users want to create a new Terraform module, set up module structure, or need templates for common infrastructure patterns like VPC, ECS, S3, or RDS modules.
Terraform Module Scaffolder
This skill helps create well-structured Terraform modules following best practices and conventions.
When to Use
Use this skill when:
- Creating a new Terraform module from scratch
- Setting up standardized module structure
- Need templates for common AWS/Azure/GCP resources
- Want to ensure module follows Terraform conventions
Module Structure
Generate modules with this standard structure:
module-name/
├── main.tf # Primary resource definitions
├── variables.tf # Input variables
├── outputs.tf # Output values
├── versions.tf # Provider and Terraform version constraints
├── README.md # Module documentation
└── examples/ # Usage examples (optional)
└── basic/
└── main.tf
Instructions
1. Gather Requirements
Ask the user:
- What is the module name?
- What cloud provider (AWS, Azure, GCP, multi-cloud)?
- What resources should the module create?
- Any specific requirements or constraints?
2. Create Core Files
main.tf - Include:
- Resource definitions with clear naming
- Local values for computed attributes
- Data sources if needed
variables.tf - Include:
- Required variables first, then optional
- Clear descriptions for each variable
- Sensible defaults where appropriate
- Type constraints (string, number, bool, list, map, object)
- Validation rules for critical inputs
outputs.tf - Include:
- Resource IDs and ARNs
- Connection information (endpoints, URLs)
- Computed attributes that other modules might need
- Clear descriptions for each output
versions.tf - Include:
- Terraform version constraint (use ~> for minor version)
- Provider version constraints
- Required providers block
README.md - Include:
- Module description and purpose
- Usage example
- Requirements section
- Inputs table (can be auto-generated later)
- Outputs table (can be auto-generated later)
3. Apply Best Practices
- Use consistent naming:
resource_type-purpose(e.g.,s3-logs,vpc-main) - Add tags to all taggable resources with variables for custom tags
- Use
terraform fmtformatting - Include lifecycle blocks where appropriate
- Add
depends_ononly when implicit dependencies don't work - Use
countorfor_eachfor conditional resources
4. Add Example Usage
Create examples/basic/main.tf showing minimal working example:
module "example" {
source = "../.."
# Required variables
name = "example"
# Optional variables with common values
tags = {
Environment = "dev"
ManagedBy = "terraform"
}
}
Validation Checklist
Before completing, verify:
- All files use consistent formatting (
terraform fmt) - Variables have descriptions and appropriate types
- Outputs have descriptions
- Version constraints are specified
- README includes usage example
- Module follows naming conventions
- Tags are configurable via variables
Repository
