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This skill generates production-ready Terraform configurations following current best practices, validating providers, modules, and dynamic data for reliable
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---
name: terraform-generator
description: Comprehensive toolkit for generating best practice Terraform configurations (HCL files) following current standards and conventions. Use this skill when creating new Terraform resources, or building Terraform projects.
---
# Terraform Generator
## Overview
This skill enables the generation of production-ready Terraform configurations following best practices and current standards. Automatically integrates validation and documentation lookup for custom providers and modules.
## Critical Requirements Checklist
**STOP: You MUST complete ALL steps in order. Do NOT skip any REQUIRED step.**
| Step | Action | Required |
|------|--------|----------|
| 1 | Understand requirements (providers, resources, modules) | ✅ REQUIRED |
| 2 | Check for custom providers/modules and lookup documentation | ✅ REQUIRED |
| 3 | Consult reference files before generation | ✅ REQUIRED |
| 4 | Generate Terraform files with ALL best practices | ✅ REQUIRED |
| 5 | Include data sources for dynamic values (region, account, AMIs) | ✅ REQUIRED |
| 6 | Add lifecycle rules on critical resources (KMS, databases) | ✅ REQUIRED |
| 7 | Invoke `Skill(devops-skills:terraform-validator)` | ✅ REQUIRED |
| 8 | **FIX all validation/security failures and RE-VALIDATE** | ✅ REQUIRED |
| 9 | Provide usage instructions (files, next steps, security) | ✅ REQUIRED |
> **IMPORTANT:** If validation fails (terraform validate OR security scan), you MUST fix the issues and re-run validation until ALL checks pass. Do NOT proceed to Step 9 with failing checks.
## Core Workflow
When generating Terraform configurations, follow this workflow:
### Step 1: Understand Requirements
Analyze the user's request to determine:
- What infrastructure resources need to be created
- Which Terraform providers are required (AWS, Azure, GCP, custom, etc.)
- Whether any modules are being used (official, community, or custom)
- Version constraints for providers and modules
- Variable inputs and outputs needed
- State backend configuration (local, S3, remote, etc.)
### Step 2: Check for Custom Providers/Modules
Before generating configurations, identify if custom or third-party providers/modules are involved:
**Standard providers** (no lookup needed):
- hashicorp/aws
- hashicorp/azurerm
- hashicorp/google
- hashicorp/kubernetes
- Other official HashiCorp providers
**Custom/third-party providers/modules** (require documentation lookup):
- Third-party providers (e.g., datadog/datadog, mongodb/mongodbatlas)
- Custom modules from Terraform Registry
- Private or company-specific modules
- Community modules
**When custom providers/modules are detected:**
1. Use WebSearch to find version-specific documentation:
```
Search query format: "[provider/module name] terraform [version] documentation [specific resource]"
Example: "datadog terraform provider v3.30 monitor resource documentation"
Example: "terraform-aws-modules vpc version 5.0 documentation"
```
2. Focus searches on:
- Official documentation (registry.terraform.io, provider websites)
- Required and optional arguments
- Attribute references
- Example usage
- Version compatibility notes
3. If Context7 MCP is available and the provider/module is supported, use it as an alternative:
```
mcp__context7__resolve-library-id → mcp__context7__get-library-docs
```
### Step 2.5: Consult Reference Files (REQUIRED)
Before generating configuration, you MUST read the relevant reference files:
```
Read(file_path: ".claude/skills/terraform-generator/references/terraform_best_practices.md")
Read(file_path: ".claude/skills/terraform-generator/references/provider_examples.md")
```
**When to consult each reference:**
| Reference | Read When |
|-----------|-----------|
| `terraform_best_practices.md` | Always - contains required patterns |
| `common_patterns.md` | Multi-environment, workspace, or complex setups |
| `provider_examples.md` | Generating AWS, Azure, GCP, or K8s resources |
### Step 3: Generate Terraform Configuration
Generate HCL files following best practices:
**File Organization:**
```
terraform-project/
├── main.tf # Primary resource definitions
├── variables.tf # Input variable declarations
├── outputs.tf # Output value declarations
├── versions.tf # Provider version constraints
├── terraform.tfvars # Variable values (optional, for examples)
└── backend.tf # Backend configuration (optional)
```
**Best Practices to Follow:**
1. **Provider Configuration:**
```hcl
terraform {
required_version = ">= 1.10, < 2.0"
required_providers {
aws = {
source = "hashicorp/aws"
version = "~> 6.0" # Latest: v6.23.0 (Dec 2025)
}
}
}
provider "aws" {
region = var.aws_region
}
```
2. **Resource Naming:**
- Use descriptive resource names
- Follow snake_case convention
- Include resource type in name when helpful
```hcl
resource "aws_instance" "web_server" {
# ...
}
```
3. **Variable Declarations:**
```hcl
variable "instance_type" {
description = "EC2 instance type for web servers"
type = string
default = "t3.micro"
validation {
condition = contains(["t3.micro", "t3.small", "t3.medium"], var.instance_type)
error_message = "Instance type must be t3.micro, t3.small, or t3.medium."
}
}
```
4. **Output Values:**
```hcl
output "instance_public_ip" {
description = "Public IP address of the web server"
value = aws_instance.web_server.public_ip
}
```
5. **Use Data Sources for References:**
```hcl
data "aws_ami" "ubuntu" {
most_recent = true
owners = ["099720109477"] # Canonical
filter {
name = "name"
values = ["ubuntu/images/hvm-ssd/ubuntu-jammy-22.04-amd64-server-*"]
}
}
```
6. **Module Usage:**
```hcl
module "vpc" {
source = "terraform-aws-modules/vpc/aws"
version = "5.0.0"
name = "my-vpc"
cidr = "10.0.0.0/16"
azs = ["us-east-1a", "us-east-1b"]
private_subnets = ["10.0.1.0/24", "10.0.2.0/24"]
public_subnets = ["10.0.101.0/24", "10.0.102.0/24"]
}
```
7. **Use locals for Computed Values:**
```hcl
locals {
common_tags = {
Environment = var.environment
ManagedBy = "Terraform"
Project = var.project_name
}
}
```
8. **Lifecycle Rules When Appropriate:**
```hcl
resource "aws_instance" "example" {
# ...
lifecycle {
create_before_destroy = true
prevent_destroy = true
ignore_changes = [tags]
}
}
```
9. **Dynamic Blocks for Repeated Configuration:**
```hcl
resource "aws_security_group" "example" {
# ...
dynamic "ingress" {
for_each = var.ingress_rules
content {
from_port = ingress.value.from_port
to_port = ingress.value.to_port
protocol = ingress.value.protocol
cidr_blocks = ingress.value.cidr_blocks
}
}
}
```
10. **Comments and Documentation:**
- Add comments explaining complex logic
- Document why certain values are used
- Include examples in variable descriptions
**Security Best Practices:**
- Never hardcode sensitive values (use variables)
- Use data sources for AMIs and other dynamic values
- Implement least-privilege IAM policies
- Enable encryption by default
- Use secure backend configurations
### Required: Data Sources for Dynamic Values
You MUST include data sources for dynamic infrastructure values. Do NOT hardcode these:
```hcl
# REQUIRED: Current AWS region and account info
data "aws_region" "current" {}
data "aws_caller_identity" "current" {}
# Use in resources
locals {
account_id = data.aws_caller_identity.current.account_id
region = data.aws_region.current.name
}
```
**Common required data sources:**
| Use Case | Data Source |
|----------|-------------|
| Current region | `data "aws_region" "current" {}` |
| Current account | `data "aws_caller_identity" "current" {}` |
| Available AZs | `data "aws_availability_zones" "available" {}` |
| Latest AMI | `data "aws_ami" "..."` with filters |
| Existing VPC | `data "aws_vpc" "..."` |
### Required: Lifecycle Rules on Critical Resources
You MUST add lifecycle rules on resources that could cause data loss or service disruption if accidentally destroyed:
```hcl
# KMS Keys - ALWAYS protect from deletion
resource "aws_kms_key" "encryption" {
# ...
lifecycle {
prevent_destroy = true
}
}
# Databases - ALWAYS protect from deletion
resource "aws_db_instance" "main" {
# ...
lifecycle {
prevent_destroy = true
}
}
# S3 Buckets with data - protect from deletion
resource "aws_s3_bucket" "data" {
# ...
lifecycle {
prevent_destroy = true
}
}
```
**Resources that MUST have `prevent_destroy = true`:**
- KMS keys (`aws_kms_key`)
- RDS databases (`aws_db_instance`, `aws_rds_cluster`)
- S3 buckets containing data
- DynamoDB tables with data
- ElastiCache clusters
- Secrets Manager secrets
### Required: S3 Lifecycle Best Practices
When creating S3 buckets with lifecycle configurations, ALWAYS include a rule to abort incomplete multipart uploads:
```hcl
resource "aws_s3_bucket_lifecycle_configuration" "main" {
bucket = aws_s3_bucket.main.id
# REQUIRED: Abort incomplete multipart uploads to prevent storage costs
rule {
id = "abort-incomplete-uploads"
status = "Enabled"
# Filter applies to all objects (empty filter = all objects)
filter {}
abort_incomplete_multipart_upload {
days_after_initiation = 7
}
}
# Other lifecycle rules (e.g., transition to IA)
rule {
id = "transition-to-ia"
status = "Enabled"
filter {
prefix = "" # Apply to all objects
}
transition {
days = 90
storage_class = "STANDARD_IA"
}
noncurrent_version_transition {
noncurrent_days = 30
storage_class = "STANDARD_IA"
}
noncurrent_version_expiration {
noncurrent_days = 365
}
}
}
```
> **Why?** Incomplete multipart uploads consume storage and incur costs. Checkov check `CKV_AWS_300` enforces this. Always include this rule.
### Step 4: Validate Generated Configuration (REQUIRED)
After generating Terraform files, ALWAYS validate them using the devops-skills:terraform-validator skill:
```
Invoke: Skill(devops-skills:terraform-validator)
```
The devops-skills:terraform-validator skill will:
1. Check HCL syntax with `terraform fmt -check`
2. Initialize the configuration with `terraform init`
3. Validate the configuration with `terraform validate`
4. Run security scan with Checkov
5. Perform dry-run testing (if requested) with `terraform plan`
**CRITICAL: Fix-and-Revalidate Loop**
If ANY validation or security check fails, you MUST:
1. **Review the error** - Understand what failed and why
2. **Fix the issue** - Edit the generated file to resolve the problem
3. **Re-run validation** - Invoke `Skill(devops-skills:terraform-validator)` again
4. **Repeat until ALL checks pass** - Do NOT proceed with failing checks
```
┌─────────────────────────────────────────────────────────┐
│ VALIDATION FAILED? │
│ │
│ ┌─────────┐ ┌─────────┐ ┌─────────────────────┐ │
│ │ Fix │───▶│ Re-run │───▶│ All checks pass? │ │
│ │ Issue │ │ Skill │ │ YES → Step 5 │ │
│ └─────────┘ └─────────┘ │ NO → Loop back │ │
│ ▲ └─────────────────────┘ │
│ │ │ │
│ └────────────────────────────────────┘ │
└─────────────────────────────────────────────────────────┘
```
**Common validation failures to fix:**
| Check | Issue | Fix |
|-------|-------|-----|
| `CKV_AWS_300` | Missing abort multipart upload | Add `abort_incomplete_multipart_upload` rule |
| `CKV_AWS_24` | SSH open to 0.0.0.0/0 | Restrict to specific CIDR |
| `CKV_AWS_16` | RDS encryption disabled | Add `storage_encrypted = true` |
| `terraform validate` | Invalid resource argument | Check provider documentation |
**If custom providers are detected during validation:**
- The devops-skills:terraform-validator skill will automatically fetch documentation
- Use the fetched documentation to fix any issues
### Step 5: Provide Usage Instructions (REQUIRED)
After successful generation and validation with ALL checks passing, you MUST provide the user with:
**Required Output Format:**
```markdown
## Generated Files
| File | Description |
|------|-------------|
| `path/to/main.tf` | Main resource definitions |
| `path/to/variables.tf` | Input variables |
| `path/to/outputs.tf` | Output values |
| `path/to/versions.tf` | Provider version constraints |
## Next Steps
1. Review and customize `terraform.tfvars` with your values
2. Initialize Terraform:
```bash
terraform init
```
3. Review the execution plan:
```bash
terraform plan
```
4. Apply the configuration:
```bash
terraform apply
```
## Customization Notes
- [ ] Update `variable_name` in terraform.tfvars
- [ ] Configure backend in backend.tf for remote state
- [ ] Adjust resource names/tags as needed
## Security Reminders
⚠️ Before applying:
- Review IAM policies and permissions
- Ensure sensitive values are NOT committed to version control
- Configure state backend with encryption enabled
- Set up state locking for team collaboration
```
> **IMPORTANT:** Do NOT skip Step 5. The user needs actionable guidance on how to use the generated configuration.
## Common Generation Patterns
### Pattern 1: Simple Resource Creation
User request: "Create an AWS S3 bucket with versioning"
Generated files:
- `main.tf` - S3 bucket resource with versioning enabled
- `variables.tf` - Bucket name, tags variables
- `outputs.tf` - Bucket ARN and name outputs
- `versions.tf` - AWS provider version constraints
### Pattern 2: Module-Based Infrastructure
User request: "Set up a VPC using the official AWS VPC module"
Actions:
1. Identify module: terraform-aws-modules/vpc/aws
2. Web search for latest version and documentation
3. Generate configuration using module with appropriate inputs
4. Validate with devops-skills:terraform-validator
### Pattern 3: Multi-Provider Configuration
User request: "Create infrastructure across AWS and Datadog"
Actions:
1. Identify standard provider (AWS) and custom provider (Datadog)
2. Web search for Datadog provider documentation with version
3. Generate configuration with both providers properly configured
4. Ensure provider aliases if needed
5. Validate with devops-skills:terraform-validator
### Pattern 4: Complex Resource with Dependencies
User request: "Create an ECS cluster with ALB and auto-scaling"
Generated structure:
- Multiple resource blocks with proper dependencies
- Data sources for AMIs, availability zones, etc.
- Local values for computed configurations
- Comprehensive variables and outputs
- Proper dependency management using implicit references
## Error Handling
**Common Issues and Solutions:**
1. **Provider Not Found:**
- Ensure provider is listed in `required_providers` block
- Verify source address format: `namespace/name`
- Check version constraint syntax
2. **Invalid Resource Arguments:**
- Refer to web search results for custom providers
- Check for required vs optional arguments
- Verify attribute value types (string, number, bool, list, map)
3. **Circular Dependencies:**
- Review resource references
- Use `depends_on` explicit dependencies if needed
- Consider breaking into separate modules
4. **Validation Failures:**
- Run devops-skills:terraform-validator skill to get detailed errors
- Fix issues one at a time
- Re-validate after each fix
## Version Awareness
Always consider version compatibility:
1. **Terraform Version:**
- Use `required_version` constraint with both lower and upper bounds
- Default to `>= 1.10, < 2.0` for modern features (ephemeral resources, write-only)
- Use `>= 1.14, < 2.0` for latest features (actions, query command)
- Document any version-specific features used (see below)
2. **Provider Versions (as of December 2025):**
- AWS: `~> 6.0` (latest: v6.23.0)
- Azure: `~> 4.0` (latest: v4.54.0)
- GCP: `~> 7.0` (latest: v7.12.0) - 7.0 includes ephemeral resources & write-only attributes
- Kubernetes: `~> 2.23`
- Use `~>` for minor version flexibility, pin major versions
3. **Module Versions:**
- Always pin module versions
- Review module documentation for version compatibility
- Test module updates in non-production first
### Terraform Version Feature Matrix
| Feature | Minimum Version |
|---------|-----------------|
| `terraform_data` resource | 1.4+ |
| `import {}` blocks | 1.5+ |
| `check {}` blocks | 1.5+ |
| Native testing (`.tftest.hcl`) | 1.6+ |
| Test mocking | 1.7+ |
| `removed {}` blocks | 1.7+ |
| Provider-defined functions | 1.8+ |
| Cross-type refactoring | 1.8+ |
| Enhanced variable validations | 1.9+ |
| `templatestring` function | 1.9+ |
| Ephemeral resources | 1.10+ |
| Write-only arguments | 1.11+ |
| S3 native state locking | 1.11+ |
| Import blocks with `for_each` | 1.12+ |
| Actions block | 1.14+ |
| List resources (`tfquery.hcl`) | 1.14+ |
| `terraform query` command | 1.14+ |
## Modern Terraform Features (1.8+)
### Provider-Defined Functions (Terraform 1.8+)
Provider-defined functions extend Terraform's built-in functions with provider-specific logic.
**Syntax:** `provider::<provider_name>::<function_name>(arguments)`
```hcl
# AWS Provider Functions (v5.40+)
locals {
# Parse an ARN into components
parsed_arn = provider::aws::arn_parse(aws_instance.web.arn)
account_id = local.parsed_arn.account
region = local.parsed_arn.region
# Build an ARN from components
custom_arn = provider::aws::arn_build({
partition = "aws"
service = "s3"
region = ""
account = ""
resource = "my-bucket/my-key"
})
}
# Google Cloud Provider Functions (v5.23+)
locals {
# Extract region from zone
region = provider::google::region_from_zone(var.zone) # "us-west1-a" → "us-west1"
}
# Kubernetes Provider Functions (v2.28+)
locals {
# Encode HCL to Kubernetes manifest YAML
manifest_yaml = provider::kubernetes::manifest_encode(local.deployment_config)
}
```
### Ephemeral Resources (Terraform 1.10+)
Ephemeral resources provide temporary values that are **never persisted** in state or plan files. Critical for handling secrets securely.
```hcl
# Generate a password that never touches state
ephemeral "random_password" "db_password" {
length = 16
special = true
override_special = "!#$%&*()-_=+[]{}<>:?"
}
# Fetch secrets ephemerally from AWS Secrets Manager
ephemeral "aws_secretsmanager_secret_version" "api_key" {
secret_id = aws_secretsmanager_secret.api_key.id
}
# Ephemeral variables (declare with ephemeral = true)
variable "temporary_token" {
type = string
ephemeral = true # Value won't be stored in state
}
# Ephemeral outputs
output "session_token" {
value = ephemeral.aws_secretsmanager_secret_version.api_key.secret_string
ephemeral = true # Won't be stored in state
}
```
### Write-Only Arguments (Terraform 1.11+)
Write-only arguments accept ephemeral values and are never persisted. They use `_wo` suffix and require a version attribute.
```hcl
# Secure database password handling
ephemeral "random_password" "db_password" {
length = 16
}
resource "aws_db_instance" "main" {
identifier = "mydb"
instance_class = "db.t3.micro"
allocated_storage = 20
engine = "postgres"
username = "admin"
# Write-only password - never stored in state!
password_wo = ephemeral.random_password.db_password.result
password_wo_version = 1 # Increment to trigger password rotation
skip_final_snapshot = true
}
# Secrets Manager with write-only
resource "aws_secretsmanager_secret_version" "db_password" {
secret_id = aws_secretsmanager_secret.db_password.id
# Write-only secret string
secret_string_wo = ephemeral.random_password.db_password.result
secret_string_wo_version = 1
}
```
### Enhanced Variable Validations (Terraform 1.9+)
Validation conditions can now reference other variables, data sources, and local values.
```hcl
# Reference data sources in validation
data "aws_ec2_instance_type_offerings" "available" {
filter {
name = "location"
values = [var.availability_zone]
}
}
variable "instance_type" {
type = string
description = "EC2 instance type"
validation {
# NEW: Can reference data sources
condition = contains(
data.aws_ec2_instance_type_offerings.available.instance_types,
var.instance_type
)
error_message = "Instance type ${var.instance_type} is not available in the selected AZ."
}
}
# Cross-variable validation
variable "min_instances" {
type = number
default = 1
}
variable "max_instances" {
type = number
default = 10
validation {
# NEW: Can reference other variables
condition = var.max_instances >= var.min_instances
error_message = "max_instances must be >= min_instances"
}
}
```
### S3 Native State Locking (Terraform 1.11+)
S3 now supports native state locking without DynamoDB.
```hcl
terraform {
backend "s3" {
bucket = "my-terraform-state"
key = "project/terraform.tfstate"
region = "us-east-1"
encrypt = true
# NEW: S3-native locking (Terraform 1.11+)
use_lockfile = true
# DEPRECATED: DynamoDB locking (still works but no longer required)
# dynamodb_table = "terraform-locks"
}
}
```
### Import Blocks (Terraform 1.5+)
Declarative resource imports without command-line operations.
```hcl
# Import existing resources declaratively
import {
to = aws_instance.web
id = "i-1234567890abcdef0"
}
resource "aws_instance" "web" {
ami = "ami-0c55b159cbfafe1f0"
instance_type = "t3.micro"
# ... configuration must match existing resource
}
# Import with for_each
import {
for_each = var.existing_bucket_names
to = aws_s3_bucket.imported[each.key]
id = each.value
}
```
### Moved and Removed Blocks
Safely refactor resources without destroying them.
```hcl
# Rename a resource
moved {
from = aws_instance.old_name
to = aws_instance.new_name
}
# Move to a module
moved {
from = aws_vpc.main
to = module.networking.aws_vpc.main
}
# Cross-type refactoring (1.8+)
moved {
from = null_resource.example
to = terraform_data.example
}
# Remove resource from state without destroying (1.7+)
removed {
from = aws_instance.legacy
lifecycle {
destroy = false # Keep the actual resource, just remove from state
}
}
```
### Import Blocks with for_each (Terraform 1.12+)
Import multiple resources using `for_each` meta-argument.
```hcl
# Import multiple S3 buckets using a map
locals {
buckets = {
"staging" = "bucket1"
"uat" = "bucket2"
"prod" = "bucket3"
}
}
import {
for_each = local.buckets
to = aws_s3_bucket.this[each.key]
id = each.value
}
resource "aws_s3_bucket" "this" {
for_each = local.buckets
}
# Import across module instances using list of objects
locals {
module_buckets = [
{ group = "one", key = "bucket1", id = "one_1" },
{ group = "one", key = "bucket2", id = "one_2" },
{ group = "two", key = "bucket1", id = "two_1" },
]
}
import {
for_each = local.module_buckets
id = each.value.id
to = module.group[each.value.group].aws_s3_bucket.this[each.value.key]
}
```
### Actions Block (Terraform 1.14+)
Actions enable provider-defined operations outside the standard CRUD model. Use for operations like Lambda invocations, cache invalidations, or database backups.
```hcl
# Invoke a Lambda function (example syntax)
action "aws_lambda_invoke" "process_data" {
function_name = aws_lambda_function.processor.function_name
payload = jsonencode({ action = "process" })
}
# Create CloudFront invalidation
action "aws_cloudfront_create_invalidation" "invalidate_cache" {
distribution_id = aws_cloudfront_distribution.main.id
paths = ["/*"]
}
# Actions support for_each
action "aws_lambda_invoke" "batch_process" {
for_each = toset(["task1", "task2", "task3"])
function_name = aws_lambda_function.processor.function_name
payload = jsonencode({ task = each.value })
}
```
**Triggering Actions via Lifecycle:**
Use `action_trigger` within a resource's lifecycle block to automatically invoke actions:
```hcl
resource "aws_lambda_function" "example" {
function_name = "my-function"
# ... other config ...
lifecycle {
action_trigger {
events = [after_create, after_update]
actions = [action.aws_lambda_invoke.process_data]
}
}
}
action "aws_lambda_invoke" "process_data" {
function_name = aws_lambda_function.example.function_name
payload = jsonencode({ action = "initialize" })
}
```
**Manual Invocation:**
Actions can also be invoked manually via CLI:
```bash
terraform apply -invoke action.aws_lambda_invoke.process_data
```
### List Resources and Query Command (Terraform 1.14+)
Query and filter existing infrastructure using `.tfquery.hcl` files and the `terraform query` command.
```hcl
# my-resources.tfquery.hcl
# Define list resources to query existing infrastructure
list "aws_instance" "web_servers" {
filter {
name = "tag:Environment"
values = [var.environment]
}
include_resource = true # Include full resource details
}
list "aws_s3_bucket" "data_buckets" {
filter {
name = "tag:Purpose"
values = ["data-storage"]
}
}
```
```bash
# Query infrastructure and output results
terraform query
# Generate import configuration from query results
terraform query -generate-config-out="import_config.tf"
# Output in JSON format
terraform query -json
# Use with variables
terraform query -var 'environment=prod'
```
### Preconditions and Postconditions (Terraform 1.5+)
Add custom validation within resource lifecycle.
```hcl
resource "aws_instance" "example" {
instance_type = "t3.micro"
ami = data.aws_ami.example.id
lifecycle {
# Check before creation
precondition {
condition = data.aws_ami.example.architecture == "x86_64"
error_message = "The selected AMI must be for the x86_64 architecture."
}
# Verify after creation
postcondition {
condition = self.public_dns != ""
error_message = "EC2 instance must be in a VPC that has public DNS hostnames enabled."
}
}
}
# Preconditions on outputs
output "web_url" {
value = "https://${aws_instance.web.public_dns}"
precondition {
condition = aws_instance.web.public_dns != ""
error_message = "Instance must have a public DNS name."
}
}
```
## Resources
### references/
The `references/` directory contains detailed documentation for reference:
- `terraform_best_practices.md` - Comprehensive best practices guide
- `common_patterns.md` - Common Terraform patterns and examples
- `provider_examples.md` - Example configurations for popular providers
To load a reference, use the Read tool:
```
Read(file_path: ".claude/skills/terraform-generator/references/[filename].md")
```
### assets/
The `assets/` directory contains template files:
- `minimal-project/` - Minimal Terraform project template
- `aws-web-app/` - AWS web application infrastructure template
- `multi-env/` - Multi-environment configuration template
Templates can be copied and customized for the user's specific needs.
## Notes
- Always run devops-skills:terraform-validator after generation
- Web search is essential for custom providers/modules
- Follow the principle of least surprise in configurations
- Make configurations readable and maintainable
- Include helpful comments and documentation
- Generate realistic examples in terraform.tfvars when helpful
This skill generates production-ready Terraform (HCL) configurations that follow current best practices, conventions, and security patterns. It automatically checks for custom providers/modules, consults internal references, inserts required data sources and lifecycle protections, and drives a strict validate-and-fix loop until all syntax and security checks pass.
I analyze the requested infrastructure, detect required providers and modules, and consult provider/module documentation when third-party or custom components are present. I read the internal best-practices references, generate a standard file layout (main.tf, variables.tf, outputs.tf, versions.tf, backend.tf), add data sources for dynamic values, apply lifecycle protections on critical resources, and invoke an automated terraform validator to run fmt, init, validate and a security scan. I fix any validation or security failures and re-run validation until everything passes.
Will you hardcode secrets or sensitive values?
No. Sensitive values are declared as variables and left for terraform.tfvars or secret management; never hardcoded.
What happens if the validator reports a security check failure?
I fix the issue according to the check’s guidance (for example adding abort_incomplete_multipart_upload or tightening CIDR ranges) and re-run validation until all checks pass.