refactor-module
hashicorp/agent-skills
Transform monolithic Terraform configurations into reusable, maintainable modules following HashiCorp best practices.
What is refactor-module?
This skill guides AI agents in refactoring existing Terraform code into well-structured, reusable modules with clear interfaces, proper encapsulation, and state migration paths. Use it when consolidating repetitive infrastructure code into composable, versioned modules that follow community standards.
- Analyzes existing Terraform configurations to identify refactoring candidates and resource grouping opportunities
- Designs clear module interfaces with input variables, outputs, and validation rules
- Transforms monolithic code into modular structures with proper encapsulation and abstraction
- Plans and executes state migration using moved blocks and terraform state commands
- Generates documentation and testing frameworks for refactored modules
How to install refactor-module
npx skills add https://github.com/hashicorp/agent-skills --skill refactor-module- Existing Terraform configuration files to refactor
- Understanding of resource dependencies and Terraform state structure
- Access to run terraform state list and terraform show -json commands for migration planning
- Knowledge of module registry patterns and HashiCorp module design principles
How to use refactor-module
- 1.Run the analysis phase to identify logical resource groupings, dependencies, and repeated patterns in your configuration
- 2.Design the module interface by defining input variables with validation rules and output contracts
- 3.Transform the monolithic code into modular structure, organizing resources into separate files (main.tf, variables.tf, outputs.tf)
- 4.Inspect current state using terraform state list and terraform show -json to map existing resource addresses
- 5.Generate and apply state migration using moved blocks or terraform state mv commands to maintain state compatibility
- 6.Test the refactored module and update root configuration to consume it
Use cases
- Converting a large flat Terraform file with repeated VPC, subnet, and networking patterns into a reusable network module
- Extracting tightly coupled resources (e.g., compute instances with security groups) into a standalone module for multi-environment reuse
- Migrating existing infrastructure state from monolithic configuration to modular structure without resource recreation
- Preparing infrastructure code for publication to a module registry with proper versioning and documentation
- Consolidating provider-specific configurations and cross-cutting concerns into separate, maintainable modules
- Infrastructure engineers refactoring legacy Terraform codebases
- DevOps teams standardizing module design across organizations
- Platform engineers preparing code for module registry publication
- Teams migrating from monolithic to modular infrastructure-as-code patterns
refactor-module FAQ
Group tightly coupled resources with shared lifecycle and clear boundaries (e.g., VPC with subnets and gateways). Keep separate resources with different lifecycles, cross-cutting concerns like monitoring, and provider-specific configurations outside the module.
moved blocks (Terraform 1.1+) are the preferred, documented approach for state refactoring and are applied during terraform apply. terraform state mv is a lower-level command useful for manual state manipulation when moved blocks aren't available or for complex migrations.
No. By using moved blocks or terraform state mv before applying the refactored configuration, you can migrate state without resource recreation, maintaining continuity of your infrastructure.
Never echo state contents into logs or output, as state contains sensitive values in plaintext. Use terraform show -json or terraform state pull only when necessary, and keep state files secure throughout migration.
Start with 'intermediate' (default) for most use cases. Use 'simple' for basic, single-purpose modules with few variables. Use 'advanced' for complex, highly configurable modules with sophisticated validation and conditional logic.
Full instructions (SKILL.md)
Source of truth, from hashicorp/agent-skills.
name: refactor-module description: Transform monolithic Terraform configurations into reusable, maintainable modules following HashiCorp's module design principles and community best practices. metadata: lifecycle-status: active copyright: Copyright IBM Corp. 2026 version: "0.0.1"
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 inspect current state via
terraform state list/terraform show -json(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 complexity
2. 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 configurations
3. 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 resources
After: 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
Inspecting Current State
Before writing moved blocks or state mv commands, inspect the current state to map
existing resource addresses. Prefer the documented, stable, and more token-efficient
commands over reading the raw state file:
# Enumerate current resource addresses (the inputs for `moved` / `state mv`)
terraform state list
# Inspect resolved attribute values when you need them
terraform show -json | jq '.values.root_module'
terraform show -json requires providers to be installed (terraform init), since it
renders values against provider schemas. Fall back to the raw state
(terraform state pull / terraform.tfstate) only when providers aren't available and
init can't run, you need only coarse info (addresses, outputs, serial/lineage), or you
must avoid executing Terraform. Avoid parsing the raw version-4 state format as a stable
interface. Note: state contains sensitive values in plaintext in every format — never
echo state contents into logs or output.
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.tfplan
Version 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 development
Success 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 |
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