Transform monolithic Terraform configurations into reusable, maintainable modules following HashiCorp's module design principles and community best practices.
npx skills add https://github.com/hashicorp/agent-skills --skill refactor-module
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:
| 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) |
**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
# 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 }
}
**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
# 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
# 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"
}
}
# 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]
}
# 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]'
# 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.
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).
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)
Extract related resources into cohesive modules:
# 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
}
# 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
}
# ❌ 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
})
}
# ❌ 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
}
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
# 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
| Version | Date | Changes |
|---------|------|---------|
| 1.0.0 | 2025-11-07 | Initial skill definition |
This skill should be used as a mandatory final sanity check before git commit, PR creation, or declaring work done. Triggers on "commit", "push", "PR", "pull request", "done", "finished", "complete", "ship", "deploy", "ready to merge". Catches security vulnerabilities, logic errors, and business rule bugs that slip through despite passing tests.
Audits code against CI/CD style rules, quality guidelines, and best practices, then rewrites code to meet standards without breaking functionality. Use this skill after functionality validation to ensure code is not just correct but also maintainable, readable, and production-ready. The skill applies linting rules, enforces naming conventions, improves code organization, and refactors for clarity while preserving all behavioral correctness verified by functionality audits.
Create a new implementation plan file for new features, refactoring existing code or upgrading packages, design, architecture or infrastructure.
CI/CD reference for Megatron-LM. Covers CI pipeline structure, PR scope labels, triggering internal GitLab CI (which force-pushes the current branch to a pull-request/BRANCH ref — always dry-run and verify the destination first; never run against shared or protected branches), and CI failure investigation.
>- Parses and processes SARIF files from static analysis tools like CodeQL, Semgrep, or other scanners. Triggers on "parse sarif", "read scan results", "aggregate findings", "deduplicate alerts", or "process sarif output". Handles filtering, deduplication, format conversion, and CI/CD integration of SARIF data. Does NOT run scans — use the Semgrep or CodeQL skills for that.
Detects anemic domain models, validates and refactors them into rich domain models, and enforces tactical DDD patterns (Entities, Value Objects, Aggregates, Domain Services, Domain Events). Use when the user asks to validate, review, or check domain models or DDD code; detect anemia; refactor domain objects; improve encapsulation; or mentions terms like "anemic model", "rich domain", "aggregate", "value object", "domain event", "ubiquitous language", "is this good DDD", "does this follow DDD", or "check my domain". Do NOT use for module or service boundary design, architectural decomposition, strategic DDD context mapping, or code outside the domain layer (DTOs, controllers, infrastructure adapters).
End-to-end iOS red-team pipeline — IPA acquisition (App Store extraction, TestFlight, enterprise/ad-hoc sideload), class-dump/Hopper/Ghidra static analysis, Info.plist + entitlements + Keychain secret extraction, App Transport Security (ATS) misconfig + certificate-pinning bypass (frida-ios-dump, objection, SSL Kill Switch 2), URL-scheme / Universal Link hijack, exported-service enumeration, Frida runtime instrumentation. Companion to apk-redteam-pipeline for the iOS side of a mobile app catalogue. Use when target has an iOS app (App Store listing, TestFlight link, enterprise MDM distribution), when an IPA URL is found hosted on a web server, or when post-recon mentions "iOS app" / "mobile app" in scope alongside an Apple developer account.
Validate KQL (Kusto Query Language) files used in Azure Quick Review (azqr) against their recommendation definitions. Use when the user wants to validate KQL syntax, check semantic alignment with recommendations, verify property names against Azure REST API schemas, or audit KQL queries before a pull request. WHEN: "validate kql", "check kql files", "kql syntax error", "validate aks kql", "run kql validator", "validate azure resource graph queries", "check recommendations alignment", "validate kql for <service>".
Take hashicorp/refactor-module from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.