terraform-skill

sickn33/antigravity-awesome-skills · updated May 27, 2026

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$npx skills add https://github.com/sickn33/antigravity-awesome-skills --skill terraform-skill
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summary

Comprehensive Terraform and OpenTofu guidance covering testing, modules, CI/CD, and production patterns. Based on terraform-best-practices.com and enterprise experience.

skill.md

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 resources
  • variables.tf - Input variables
  • outputs.tf - Output values
  • versions.tf - Provider versions
  • data.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:

  1. Validate schemas with Terraform MCP:

    Search provider docs → Get resource schema → Identify block types
    
  2. Choose correct command mode:

    • command = plan - Fast, for input validation
    • command = apply - Required for computed values and set-type blocks
  3. Handle set-type blocks correctly:

    • Cannot index with [0]
    • Use for expressions to iterate
    • Or use command = apply to materialize

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:

  1. count or for_each FIRST (blank line after)
  2. Other arguments
  3. tags as last real argument
  4. depends_on after tags (if needed)
  5. lifecycle at 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

  1. description (ALWAYS required)
  2. type
  3. default
  4. validation
  5. nullable (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 constrain
how to use terraform-skill

How to use terraform-skill on Cursor

AI-first code editor with Composer

1

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
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/sickn33/antigravity-awesome-skills --skill terraform-skill

The skills CLI fetches terraform-skill from GitHub repository sickn33/antigravity-awesome-skills and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/terraform-skill

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

GET_STARTED →

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. 1.Install skill using provided installation command
  2. 2.Test with simple use case relevant to your work
  3. 3.Evaluate output quality and relevance
  4. 4.Iterate on prompts to improve results
  5. 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

  1. 1Familiarize yourself with skill capabilities and limitations
  2. 2Start with low-risk, non-critical tasks
  3. 3Progress to more complex and valuable use cases
  4. 4Build expertise through regular use and experimentation

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.526 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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