terraform-skill▌
sickn33/antigravity-awesome-skills · updated May 27, 2026
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Comprehensive Terraform and OpenTofu guidance covering testing, modules, CI/CD, and production patterns. Based on terraform-best-practices.com and enterprise experience.
Terraform Skill for Claude
Comprehensive Terraform and OpenTofu guidance covering testing, modules, CI/CD, and production patterns. Based on terraform-best-practices.com and enterprise experience.
When to Use This Skill
Activate this skill when:
- Creating new Terraform or OpenTofu configurations or modules
- Setting up testing infrastructure for IaC code
- Deciding between testing approaches (validate, plan, frameworks)
- Structuring multi-environment deployments
- Implementing CI/CD for infrastructure-as-code
- Reviewing or refactoring existing Terraform/OpenTofu projects
- Choosing between module patterns or state management approaches
Don't use this skill for:
- Basic Terraform/OpenTofu syntax questions (Claude knows this)
- Provider-specific API reference (link to docs instead)
- Cloud platform questions unrelated to Terraform/OpenTofu
Core Principles
1. Code Structure Philosophy
Module Hierarchy:
| Type | When to Use | Scope |
|---|---|---|
| Resource Module | Single logical group of connected resources | VPC + subnets, Security group + rules |
| Infrastructure Module | Collection of resource modules for a purpose | Multiple resource modules in one region/account |
| Composition | Complete infrastructure | Spans multiple regions/accounts |
Hierarchy: Resource → Resource Module → Infrastructure Module → Composition
Directory Structure:
environments/ # Environment-specific configurations
├── prod/
├── staging/
└── dev/
modules/ # Reusable modules
├── networking/
├── compute/
└── data/
examples/ # Module usage examples (also serve as tests)
├── complete/
└── minimal/
Key principle from terraform-best-practices.com:
- Separate environments (prod, staging) from modules (reusable components)
- Use examples/ as both documentation and integration test fixtures
- Keep modules small and focused (single responsibility)
For detailed module architecture, see: Code Patterns: Module Types & Hierarchy
2. Naming Conventions
Resources:
# Good: Descriptive, contextual
resource "aws_instance" "web_server" { }
resource "aws_s3_bucket" "application_logs" { }
# Good: "this" for singleton resources (only one of that type)
resource "aws_vpc" "this" { }
resource "aws_security_group" "this" { }
# Avoid: Generic names for non-singletons
resource "aws_instance" "main" { }
resource "aws_s3_bucket" "bucket" { }
Singleton Resources:
Use "this" when your module creates only one resource of that type:
✅ DO:
resource "aws_vpc" "this" {} # Module creates one VPC
resource "aws_security_group" "this" {} # Module creates one SG
❌ DON'T use "this" for multiple resources:
resource "aws_subnet" "this" {} # If creating multiple subnets
Use descriptive names when creating multiple resources of the same type.
Variables:
# Prefix with context when needed
var.vpc_cidr_block # Not just "cidr"
var.database_instance_class # Not just "instance_class"
Files:
main.tf- Primary resourcesvariables.tf- Input variablesoutputs.tf- Output valuesversions.tf- Provider versionsdata.tf- Data sources (optional)
Testing Strategy Framework
Decision Matrix: Which Testing Approach?
| Your Situation | Recommended Approach | Tools | Cost |
|---|---|---|---|
| Quick syntax check | Static analysis | terraform validate, fmt |
Free |
| Pre-commit validation | Static + lint | validate, tflint, trivy, checkov |
Free |
| Terraform 1.6+, simple logic | Native test framework | Built-in terraform test |
Free-Low |
| Pre-1.6, or Go expertise | Integration testing | Terratest | Low-Med |
| Security/compliance focus | Policy as code | OPA, Sentinel | Free |
| Cost-sensitive workflow | Mock providers (1.7+) | Native tests + mocking | Free |
| Multi-cloud, complex | Full integration | Terratest + real infra | Med-High |
Testing Pyramid for Infrastructure
/\
/ \ End-to-End Tests (Expensive)
/____\ - Full environment deployment
/ \ - Production-like setup
/________\
/ \ Integration Tests (Moderate)
/____________\ - Module testing in isolation
/ \ - Real resources in test account
/________________\ Static Analysis (Cheap)
- validate, fmt, lint
- Security scanning
Native Test Best Practices (1.6+)
Before generating test code:
-
Validate schemas with Terraform MCP:
Search provider docs → Get resource schema → Identify block types -
Choose correct command mode:
command = plan- Fast, for input validationcommand = apply- Required for computed values and set-type blocks
-
Handle set-type blocks correctly:
- Cannot index with
[0] - Use
forexpressions to iterate - Or use
command = applyto materialize
- Cannot index with
Common patterns:
- S3 encryption rules: set (use for expressions)
- Lifecycle transitions: set (use for expressions)
- IAM policy statements: set (use for expressions)
For detailed testing guides, see:
- Testing Frameworks Guide - Deep dive into static analysis, native tests, and Terratest
- Quick Reference - Decision flowchart and command cheat sheet
Code Structure Standards
Resource Block Ordering
Strict ordering for consistency:
countorfor_eachFIRST (blank line after)- Other arguments
tagsas last real argumentdepends_onafter tags (if needed)lifecycleat the very end (if needed)
# ✅ GOOD - Correct ordering
resource "aws_nat_gateway" "this" {
count = var.create_nat_gateway ? 1 : 0
allocation_id = aws_eip.this[0].id
subnet_id = aws_subnet.public[0].id
tags = {
Name = "${var.name}-nat"
}
depends_on = [aws_internet_gateway.this]
lifecycle {
create_before_destroy = true
}
}
Variable Block Ordering
description(ALWAYS required)typedefaultvalidationnullable(when setting to false)
variable "environment" {
description = "Environment name for resource tagging"
type = string
default = "dev"
validation {
condition = contains(["dev", "staging", "prod"], var.environment)
error_message = "Environment must be one of: dev, staging, prod."
}
nullable = false
}
For complete structure guidelines, see: Code Patterns: Block Ordering & Structure
Count vs For_Each: When to Use Each
Quick Decision Guide
| Scenario | Use | Why |
|---|---|---|
| Boolean condition (create or don't) | count = condition ? 1 : 0 |
Simple on/off toggle |
| Simple numeric replication | count = 3 |
Fixed number of identical resources |
| Items may be reordered/removed | for_each = toset(list) |
Stable resource addresses |
| Reference by key | for_each = map |
Named access to resources |
| Multiple named resources | for_each |
Better maintainability |
Common Patterns
Boolean conditions:
# ✅ GOOD - Boolean condition
resource "aws_nat_gateway" "this" {
count = var.create_nat_gateway ? 1 : 0
# ...
}
Stable addressing with for_each:
# ✅ GOOD - Removing "us-east-1b" only affects that subnet
resource "aws_subnet" "private" {
for_each = toset(var.availability_zones)
availability_zone = each.key
# ...
}
# ❌ BAD - Removing middle AZ recreates all subsequent subnets
resource "aws_subnet" "private" {
count = length(var.availability_zones)
availability_zone = var.availability_zones[count.index]
# ...
}
For migration guides and detailed examples, see: Code Patterns: Count vs For_Each
Locals for Dependency Management
Use locals to ensure correct resource deletion order:
# Problem: Subnets might be deleted after CIDR blocks, causing errors
# Solution: Use try() in locals to hint deletion order
locals {
# References secondary CIDR first, falling back to VPC
# Forces Terraform to delete subnets before CIDR association
vpc_id = try(
aws_vpc_ipv4_cidr_block_association.this[0].vpc_id,
aws_vpc.this.id,
""
)
}
resource "aws_vpc" "this" {
cidr_block = "10.0.0.0/16"
}
resource "aws_vpc_ipv4_cidr_block_association" "this" {
count = var.add_secondary_cidr ? 1 : 0
vpc_id = aws_vpc.this.id
cidr_block = "10.1.0.0/16"
}
resource "aws_subnet" "public" {
vpc_id = local.vpc_id # Uses local, not direct reference
cidr_block = "10.1.0.0/24"
}
Why this matters:
- Prevents deletion errors when destroying infrastructure
- Ensures correct dependency order without explicit
depends_on - Particularly useful for VPC configurations with secondary CIDR blocks
For detailed examples, see: Code Patterns: Locals for Dependency Management
Module Development
Standard Module Structure
my-module/
├── README.md # Usage documentation
├── main.tf # Primary resources
├── variables.tf # Input variables with descriptions
├── outputs.tf # Output values
├── versions.tf # Provider version constrainHow to use terraform-skill on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add terraform-skill
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches terraform-skill from GitHub repository sickn33/antigravity-awesome-skills and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate terraform-skill. Access the skill through slash commands (e.g., /terraform-skill) or your agent's skill management interface.
Security & Verification Notice
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
List & Monetize Your Skill
Submit your Claude Code skill and start earning
Use Cases▌
Task Automation & Efficiency
Automate repetitive workflows and reduce manual effort
Example
Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Knowledge Enhancement
Learn new skills, understand complex topics, get expert guidance
Example
Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Quality Improvement
Enhance output quality through reviews, suggestions, and refinements
Example
Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client with skill support
- ›Clear understanding of task or problem to solve
- ›Willingness to iterate and refine outputs
Time Estimate
15-45 minutes depending on use case complexity
Installation Steps
- 1.Install skill using provided installation command
- 2.Test with simple use case relevant to your work
- 3.Evaluate output quality and relevance
- 4.Iterate on prompts to improve results
- 5.Integrate into regular workflow if valuable
Common Pitfalls
- ⚠Expecting perfect results without iteration
- ⚠Not providing enough context in prompts
- ⚠Using skill for tasks outside its intended scope
- ⚠Accepting outputs without review and validation
Best Practices▌
✓ Do
- +Start with clear, specific prompts
- +Provide relevant context and constraints
- +Review and refine all outputs before using
- +Iterate to improve output quality
- +Document successful prompt patterns
✗ Don't
- −Don't use without understanding skill limitations
- −Don't skip validation of outputs
- −Don't share sensitive information in prompts
- −Don't expect skill to replace human judgment
💡 Pro Tips
- ★Be specific about desired format and style
- ★Ask for multiple options to choose from
- ★Request explanations to understand reasoning
- ★Combine AI efficiency with human expertise
When to Use This▌
✓ Use When
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid When
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
Learning Path▌
- 1Familiarize yourself with skill capabilities and limitations
- 2Start with low-risk, non-critical tasks
- 3Progress to more complex and valuable use cases
- 4Build expertise through regular use and experimentation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.5★★★★★26 reviews- ★★★★★Luis Haddad· Dec 20, 2024
Solid pick for teams standardizing on skills: terraform-skill is focused, and the summary matches what you get after install.
- ★★★★★Pratham Ware· Dec 12, 2024
Useful defaults in terraform-skill — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Zara Martin· Dec 8, 2024
terraform-skill is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Dhruvi Jain· Dec 4, 2024
Keeps context tight: terraform-skill is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Anaya Kapoor· Nov 27, 2024
terraform-skill reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Oshnikdeep· Nov 23, 2024
Registry listing for terraform-skill matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Emma Chen· Nov 11, 2024
We added terraform-skill from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Luis Thomas· Oct 18, 2024
Registry listing for terraform-skill matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Ganesh Mohane· Oct 14, 2024
terraform-skill reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Xiao Kim· Oct 2, 2024
terraform-skill fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
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