
Refactor Module
- 4.4k installs
- 781 repo stars
- Updated August 4, 2026
- hashicorp/agent-skills
refactor-module is an agent skill for refactor monolithic terraform into reusable hashicorp modules following official module design patterns.
About
The refactor-module skill Transform monolithic Terraform configurations into reusable, maintainable modules following HashiCorp's module design principles and community best practices. Overview This skill guides AI agents in transforming monolithic Terraform configurations into reusable, maintainable modules following HashiCorp's module design principles and community best practices. Capability Statement The agent will analyze existing Terraform code and systematically refactor it into well-structured modules with: - Clear interface contracts (variables and outputs) - Proper encapsulation and abstraction - Versioning and documentation - Testing frameworks - Migration path for existing state Prerequisites - Existing Terraform configuration to refactor - Understanding of resource dependencies - Access to current state file (for migration planning) - Knowledge of module registry patterns Parameter Type Required Description ----------- ------ ---------- ------------- source_directory string Yes Path to existing Terraform co Parameter Type Required Description ----------- ------ ---------- ------------- source_directory string Yes Path to existing Terraform configuration module_name st.
- Clear interface contracts (variables and outputs)
- Proper encapsulation and abstraction
- Versioning and documentation
- Migration path for existing state
- Existing Terraform configuration to refactor
Refactor Module by the numbers
- 4,385 all-time installs (skills.sh)
- +176 installs in the week ending Aug 4, 2026 (Skillselion tracking)
- Ranked #36 of 1,435 DevOps & CI/CD skills by installs in the Skillselion catalog
- Security screen: LOW risk (skills.sh audit)
- Data as of Aug 5, 2026 (Skillselion catalog sync)
refactor-module capabilities & compatibility
- Capabilities
- clear interface contracts (variables and outputs · proper encapsulation and abstraction · versioning and documentation · migration path for existing state · existing terraform configuration to refactor
- Works with
- terraform
- Use cases
- devops · ci cd
What refactor-module says it does
This skill guides AI agents in transforming monolithic Terraform configurations into reusable, maintainable modules following HashiCorp's module design principles and community best practices.
The agent will analyze existing Terraform code and systematically refactor it into well-structured modules with:
description = "Network configuration parameters"
npx skills add https://github.com/hashicorp/agent-skills --skill refactor-moduleAdd your badge
Show developers this skill is listed on Skillselion. Paste this into your README.
| Installs | 4.4k |
|---|---|
| repo stars | ★ 781 |
| Security audit | 3 / 3 scanners passed |
| Last updated | August 4, 2026 |
| Repository | hashicorp/agent-skills ↗ |
How do I refactor monolithic terraform into reusable hashicorp modules following official module design patterns with documented agent guidance?
Refactor monolithic Terraform into reusable HashiCorp modules following official module design patterns.
Who is it for?
Developers who need devops & ci/cd help during build work.
Skip if: Skip when the task falls outside DevOps & CI/CD scope described in SKILL.md.
When should I use this skill?
Refactor monolithic Terraform into reusable HashiCorp modules following official module design patterns.
What you get
Completed devops & ci/cd workflow aligned with SKILL.md steps and validation.
- reusable terraform modules
- variable and output contracts
By the numbers
- Clear interface contracts (variables and outputs)
- Proper encapsulation and abstraction
- Versioning and documentation
Files
Skill: Refactor Module
Overview
This skill guides AI agents in transforming monolithic Terraform configurations into reusable, maintainable modules following HashiCorp's module design principles and community best practices.
Capability Statement
The agent will analyze existing Terraform code and systematically refactor it into well-structured modules with:
- Clear interface contracts (variables and outputs)
- Proper encapsulation and abstraction
- Versioning and documentation
- Testing frameworks
- Migration path for existing state
Prerequisites
- Existing Terraform configuration to refactor
- Understanding of resource dependencies
- Access to current state file (for migration planning)
- Knowledge of module registry patterns
Input Parameters
| Parameter | Type | Required | Description |
|---|---|---|---|
source_directory | string | Yes | Path to existing Terraform configuration |
module_name | string | Yes | Name for the new module |
abstraction_level | string | No | "simple", "intermediate", "advanced" (default: intermediate) |
preserve_state | boolean | Yes | Whether to maintain state compatibility |
target_registry | string | No | Target module registry (local, private, public) |
Execution Steps
1. Analysis Phase
**Identify Refactoring Candidates**
- Group resources by logical function
- Identify repeated patterns
- Map resource dependencies
- Detect configuration coupling
- Analyze variable usage patterns
**Complexity Assessment**
- Count resource relationships
- Measure variable propagation depth
- Identify cross-resource references
- Evaluate state migration complexity2. Module Design
Interface Design
# Define clear input contract
variable "network_config" {
description = "Network configuration parameters"
type = object({
cidr_block = string
availability_zones = list(string)
enable_nat = bool
})
validation {
condition = can(cidrhost(var.network_config.cidr_block, 0))
error_message = "CIDR block must be valid IPv4 CIDR."
}
}
# Define output contract
output "vpc_id" {
description = "ID of the created VPC"
value = aws_vpc.main.id
}
output "private_subnet_ids" {
description = "List of private subnet IDs"
value = { for k, v in aws_subnet.private : k => v.id }
}Encapsulation Strategy
**What to Include in Module:**
- Tightly coupled resources (VPC + subnets)
- Resources with shared lifecycle
- Configuration with clear boundaries
**What to Keep Separate:**
- Cross-cutting concerns (monitoring, tagging)
- Resources with different lifecycles
- Provider-specific configurations3. Code Transformation
Before: Monolithic Configuration
# main.tf (monolithic)
resource "aws_vpc" "main" {
cidr_block = "10.0.0.0/16"
enable_dns_hostnames = true
tags = {
Name = "production-vpc"
Environment = "prod"
}
}
resource "aws_subnet" "public_1" {
vpc_id = aws_vpc.main.id
cidr_block = "10.0.1.0/24"
availability_zone = "us-east-1a"
tags = {
Name = "public-subnet-1"
Type = "public"
}
}
resource "aws_subnet" "public_2" {
vpc_id = aws_vpc.main.id
cidr_block = "10.0.2.0/24"
availability_zone = "us-east-1b"
tags = {
Name = "public-subnet-2"
Type = "public"
}
}
resource "aws_internet_gateway" "main" {
vpc_id = aws_vpc.main.id
tags = {
Name = "production-igw"
}
}
# ... more repetitive subnet and routing resourcesAfter: Modular Structure
# modules/vpc/main.tf
locals {
subnet_count = length(var.availability_zones)
}
resource "aws_vpc" "main" {
cidr_block = var.cidr_block
enable_dns_hostnames = var.enable_dns_hostnames
enable_dns_support = var.enable_dns_support
tags = merge(
var.tags,
{
Name = var.name
}
)
}
resource "aws_subnet" "public" {
for_each = var.create_public_subnets ? toset(var.availability_zones) : []
vpc_id = aws_vpc.main.id
cidr_block = cidrsubnet(var.cidr_block, 8, index(var.availability_zones, each.value))
availability_zone = each.value
map_public_ip_on_launch = true
tags = merge(
var.tags,
{
Name = "${var.name}-public-${each.value}"
Type = "public"
}
)
}
resource "aws_internet_gateway" "main" {
count = var.create_public_subnets ? 1 : 0
vpc_id = aws_vpc.main.id
tags = merge(
var.tags,
{
Name = "${var.name}-igw"
}
)
}
# modules/vpc/variables.tf
variable "name" {
description = "Name prefix for all resources"
type = string
}
variable "cidr_block" {
description = "CIDR block for the VPC"
type = string
validation {
condition = can(cidrhost(var.cidr_block, 0))
error_message = "Must be a valid IPv4 CIDR block."
}
}
variable "availability_zones" {
description = "List of availability zones"
type = list(string)
}
variable "create_public_subnets" {
description = "Whether to create public subnets"
type = bool
default = true
}
variable "enable_dns_hostnames" {
description = "Enable DNS hostnames in the VPC"
type = bool
default = true
}
variable "enable_dns_support" {
description = "Enable DNS support in the VPC"
type = bool
default = true
}
variable "tags" {
description = "Tags to apply to all resources"
type = map(string)
default = {}
}
# modules/vpc/outputs.tf
output "vpc_id" {
description = "ID of the VPC"
value = aws_vpc.main.id
}
output "vpc_cidr_block" {
description = "CIDR block of the VPC"
value = aws_vpc.main.cidr_block
}
output "public_subnet_ids" {
description = "Map of availability zones to public subnet IDs"
value = { for k, v in aws_subnet.public : k => v.id }
}
output "internet_gateway_id" {
description = "ID of the internet gateway"
value = try(aws_internet_gateway.main[0].id, null)
}
# Root configuration using module
module "vpc" {
source = "./modules/vpc"
name = "production"
cidr_block = "10.0.0.0/16"
availability_zones = ["us-east-1a", "us-east-1b", "us-east-1c"]
tags = {
Environment = "production"
ManagedBy = "Terraform"
}
}4. State Migration
Generate Migration Plan
# migration.tf
# Use moved blocks for state refactoring (Terraform 1.1+)
moved {
from = aws_vpc.main
to = module.vpc.aws_vpc.main
}
moved {
from = aws_subnet.public_1
to = module.vpc.aws_subnet.public["us-east-1a"]
}
moved {
from = aws_subnet.public_2
to = module.vpc.aws_subnet.public["us-east-1b"]
}
moved {
from = aws_internet_gateway.main
to = module.vpc.aws_internet_gateway.main[0]
}Manual State Migration (Pre-1.1)
# Generate state migration commands
terraform state mv aws_vpc.main module.vpc.aws_vpc.main
terraform state mv aws_subnet.public_1 'module.vpc.aws_subnet.public["us-east-1a"]'
terraform state mv aws_subnet.public_2 'module.vpc.aws_subnet.public["us-east-1b"]'
terraform state mv aws_internet_gateway.main 'module.vpc.aws_internet_gateway.main[0]'5. Module Documentation
# VPC Module
## Overview
Creates a VPC with configurable public and private subnets across multiple availability zones.
## Features
- Multi-AZ subnet deployment
- Optional NAT gateway configuration
- VPC Flow Logs integration
- Customizable CIDR allocation
## Usage
\`\`\`hcl
module "vpc" {
source = "./modules/vpc"
name = "my-vpc"
cidr_block = "10.0.0.0/16"
availability_zones = ["us-east-1a", "us-east-1b"]
create_public_subnets = true
create_private_subnets = true
enable_nat_gateway = true
tags = {
Environment = "production"
}
}
\`\`\`
## Requirements
| Name | Version |
|------|---------|
| terraform | >= 1.5.0 |
| aws | ~> 5.0 |
## Inputs
| Name | Description | Type | Default | Required |
|------|-------------|------|---------|----------|
| name | Name prefix for resources | `string` | n/a | yes |
| cidr_block | VPC CIDR block | `string` | n/a | yes |
| availability_zones | List of AZs | `list(string)` | n/a | yes |
## Outputs
| Name | Description |
|------|-------------|
| vpc_id | VPC identifier |
| public_subnet_ids | Map of public subnet IDs |
| private_subnet_ids | Map of private subnet IDs |
## Examples
See [examples/](./examples/) directory for complete usage examples.6. Testing
Use skill terraform-test
Test File: A .tftest.hcl or .tftest.json file containing test configuration and run blocks that validate your Terraform configuration.
Test Block: Optional configuration block that defines test-wide settings (available since Terraform 1.6.0).
Run Block: Defines a single test scenario with optional variables, provider configurations, and assertions. Each test file requires at least one run block.
Assert Block: Contains conditions that must evaluate to true for the test to pass. Failed assertions cause the test to fail.
Mock Provider: Simulates provider behavior without creating real infrastructure (available since Terraform 1.7.0).
Test Modes: Tests run in apply mode (default, creates real infrastructure) or plan mode (validates logic without creating resources).
File Structure
Terraform test files use the .tftest.hcl or .tftest.json extension and are typically organized in a tests/ directory. Use clear naming conventions to distinguish between unit tests (plan mode) and integration tests (apply mode):
my-module/
├── main.tf
├── variables.tf
├── outputs.tf
└── tests/
├── unit_test.tftest.hcl # Unit test (plan mode)
└── integration_test.tftest.hcl # Integration test (apply mode - creates real resources)Refactoring Patterns
Pattern 1: Resource Grouping
Extract related resources into cohesive modules:
- Networking (VPC, Subnets, Route Tables)
- Compute (ASG, Launch Templates, Load Balancers)
- Data (RDS, ElastiCache, S3)
Pattern 2: Configuration Layering
# Base module with defaults
module "vpc_base" {
source = "./modules/vpc-base"
# Minimal required inputs
}
# Environment-specific wrapper
module "vpc_prod" {
source = "./modules/vpc-production"
# Inherits from base, adds prod-specific config
}Pattern 3: Composition
# Small, focused modules
module "vpc" {
source = "./modules/vpc"
}
module "security_groups" {
source = "./modules/security-groups"
vpc_id = module.vpc.vpc_id
}
module "application" {
source = "./modules/application"
vpc_id = module.vpc.vpc_id
subnet_ids = module.vpc.private_subnet_ids
sg_ids = module.security_groups.app_sg_ids
}Common Pitfalls
1. Over-Abstraction
# ❌ Don't create overly generic modules
variable "resources" {
type = map(map(any)) # Too flexible, hard to validate
}
# ✅ Do use specific, typed interfaces
variable "database_config" {
type = object({
engine = string
instance_class = string
})
}2. Tight Coupling
# ❌ Don't couple modules through direct references
# module A
output "instance_id" { value = aws_instance.app.id }
# module B (in same config)
resource "aws_eip" "app" {
instance = module.a.instance_id # Tight coupling
}
# ✅ Do pass dependencies through root module
module "compute" {
source = "./modules/compute"
}
resource "aws_eip" "app" {
instance = module.compute.instance_id
}3. State Migration Errors
Always test migration in non-production first:
# Create plan to verify no changes after migration
terraform plan -out=migration.tfplan
# Review carefully
terraform show migration.tfplan
# Apply only if plan shows no changes
terraform apply migration.tfplanVersion Control Strategy
# Use semantic versioning for modules
module "vpc" {
source = "git::https://github.com/org/terraform-modules.git//vpc?ref=v1.2.0"
version = "~> 1.2"
}
# Pin to specific versions in production
# Use version ranges in developmentSuccess Criteria
- [ ] Module has single, well-defined responsibility
- [ ] All variables have descriptions and types
- [ ] Validation rules prevent invalid configurations
- [ ] Outputs provide sufficient information for consumers
- [ ] Documentation includes usage examples
- [ ] Tests verify module behavior
- [ ] State migration completed without resource recreation
- [ ] No plan differences after refactoring
Related Skills
- Terraform code generation - Style guide for the new Terraform Module
- Azure Verified Modules - Recommended module specifications for Azure
Resources
Revision History
| Version | Date | Changes |
|---|---|---|
| 1.0.0 | 2025-11-07 | Initial skill definition |
Related skills
Forks & variants (1)
Refactor Module has 1 known copy in the catalog totaling 37 installs. They canonicalize to this original listing.
- hashicorp - 37 installs
How it compares
refactor-module is an agent skill for refactor monolithic terraform into reusable hashicorp modules following official module design patterns, not a generic alternative.
FAQ
Who is refactor-module for?
Developers using DevOps & CI/CD workflows with agent-guided SKILL.md steps.
When should I use refactor-module?
Refactor monolithic Terraform into reusable HashiCorp modules following official module design patterns.
Is refactor-module safe to install?
Review the Security Audits panel on this page before installing in production.