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terraform-generator

Create, generate, write, or scaffold Terraform .tf HCL — resources, modules, providers, variables, outputs. Use when this capability is needed.

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tomevault-io/skills-registry
Letzte Quellaktivität
28. April 2026 um 22:53
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Englisch
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SKILL.md
Quellanweisungen · Schreibgeschützte Vorschau
name
terraform-generator
description
Create, generate, write, or scaffold Terraform .tf HCL — resources, modules, providers, variables, outputs. Use when this capability is needed.
metadata
{"author":"akin-ozer"}
# 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__query-docs ``` ### Step 2.5: Consult Reference Files (REQUIRED) Before generating configuration, you MUST consult reference files using this matrix: | Reference | Requirement | Read When | |-----------|-------------|-----------| | `terraform_best_practices.md` | REQUIRED | Always - contains baseline required patterns | | `provider_examples.md` | REQUIRED | Any AWS, Azure, GCP, or Kubernetes resource generation | | `common_patterns.md` | OPTIONAL by default, REQUIRED for complex requests | Multi-environment, workspace, composition, DR, or conditional patterns | Open references by path: ``` devops-skills-plugin/skills/terraform-generator/references/terraform_best_practices.md devops-skills-plugin/skills/terraform-generator/references/provider_examples.md devops-skills-plugin/skills/terraform-generator/references/common_patterns.md ``` ### 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" # Major pin; verify exact current version when needed } } } 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 (Provider-Aware) You MUST include provider-appropriate data lookups for dynamic infrastructure values. Do NOT hardcode cloud/account/region/image IDs. | Provider | Required Dynamic Context | Typical Data Sources | |----------|--------------------------|----------------------| | AWS | Region/account/AZ/image IDs | `aws_region`, `aws_caller_identity`, `aws_availability_zones`, `aws_ami` | | Azure | Tenant/subscription/client context | `azurerm_client_config`, `azurerm_subscription` | | GCP | Project/client context/zone discovery | `google_client_config`, `google_compute_zones`, `google_compute_image` | | Kubernetes | Cluster endpoint/auth from trusted source | Use module outputs or cloud data sources; avoid hardcoded tokens/endpoints | ```hcl # AWS dynamic context data "aws_region" "current" {} data "aws_caller_identity" "current" {} # Azure dynamic context data "azurerm_client_config" "current" {} data "azurerm_subscription" "current" {} # GCP dynamic context data "google_client_config" "current" {} ``` ### Required: Lifecycle and Deletion Safeguards (Provider-Aware) You MUST protect stateful and critical resources from accidental destruction/deletion using both Terraform lifecycle and provider-native safeguards. | Provider | Critical Resource Classes | Required Protection Mechanism | |----------|---------------------------|-------------------------------| | AWS | KMS, RDS, S3 data buckets, DynamoDB, ElastiCache, secrets | `lifecycle { prevent_destroy = true }` and service-specific deletion protection where supported | | Azure | Key Vaults, SQL, Storage, stateful compute | `prevent_destroy` where appropriate plus provider feature flags/resource deletion protection | | GCP | Cloud SQL, GKE, storage, stateful compute | `prevent_destroy` and resource-level `deletion_protection = true` where supported | | Kubernetes | Stateful workloads and persistent data | Avoid destructive replacement patterns and protect backing cloud resources | ```hcl resource "aws_db_instance" "main" { # ... deletion_protection = true lifecycle { prevent_destroy = true } } resource "google_sql_database_instance" "main" { # ... deletion_protection = true } ``` ### Required: Object Storage Lifecycle Safeguards When using AWS S3 lifecycle configuration, 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 for AWS. > > For Azure/GCP object storage, add equivalent lifecycle/retention rules for stale objects and old versions. ### 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 | |------|-------------| | `<actual-file-path>` | What was generated in that file | Only list files that were actually generated for this request. Do not include placeholder paths or files that do not exist. ## Next Steps 1. Review and customize `terraform.tfvars` with your values 2. Initialize Terraform: ```bash
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