Claude Skills Guide

Claude Code Skills for Infrastructure as Code with Terraform

Infrastructure as code has become essential for managing cloud resources reproducibly. When combined with Claude Code skills, Terraform workflows become significantly more efficient. This guide covers the most useful Claude skills for infrastructure-as-code projects and shows how to apply them in real-world scenarios.

This article covers Claude skills across general Terraform workflows: a survey of the core skills (/tdd, /supermemory, /pdf, git-workflow), multi-workspace scripting, terraform-docs integration, and Infracost cost estimation. It applies to any cloud provider. If you are working specifically with AWS and need detail on assume_role, provider aliases, multi-region configuration, or AWS-specific authentication patterns, see the companion article Claude Code Terraform AWS Provider Guide.

Prerequisites

Before integrating Claude Code with Terraform, ensure you have:

Verify your Terraform installation by running:

terraform version
terraform -help

Setting Up Your Terraform Workflow

Before diving into specific skills, ensure your Claude Code environment is properly configured. The skill system works best when you have a clear project structure:

your-terraform-repo/
├── main.tf
├── variables.tf
├── outputs.tf
├── modules/
│   ├── networking/
│   ├── compute/
│   └── database/
└── .terraform.lock.hcl

Organizing your code into modules improves reusability and makes Claude’s assistance more effective. Each module should have a focused responsibility.

Essential Skills for Infrastructure Work

Claude Code for Terraform Commands

Claude Code has deep knowledge of command-line operations, which is critical when running Terraform plans and applies. This helps you construct complex shell commands for iterating over multiple environments or parsing Terraform output.

When you need to run Terraform across multiple workspaces, Claude Code can help create efficient scripts:

#!/bin/bash
# Plan changes across all workspaces
for workspace in dev staging production; do
  echo "=== Planning for $workspace ==="
  terraform workspace select "$workspace"
  terraform plan -out="$workspace.tfplan"
done

The skill also assists with parsing Terraform’s JSON output for automation. For instance, extracting resource addresses from plan output for targeted destroy operations.

tdd for Infrastructure Testing

tdd skill applies test-driven development principles to infrastructure code. While traditionally associated with application code, TDD principles work remarkably well for Terraform modules. You can write tests that validate your infrastructure before deployment.

Using tools like Terratest or Terraform’s built-in test framework, you can verify that your infrastructure behaves correctly:

# variables.tf
variable "instance_type" {
  description = "EC2 instance type"
  type        = string
  default     = "t3.micro"
}

variable "allowed_instance_types" {
  description = "Approved instance types"
  type        = list(string)
  default     = ["t3.micro", "t3.small", "t3.medium"]
}

With the tdd skill, Claude helps you write validation that ensures instance types match your organization’s standards before deployment.

git-workflow for Version Control

Infrastructure code absolutely requires version control. The git-workflow skill streamlines Git operations, helping you manage Terraform state files, write meaningful commit messages, and handle pull requests for infrastructure changes.

Effective commit messages for infrastructure might look like:

feat: add RDS instance to production environment

- Increases instance class from db.t3.medium to db.r6g.large
- Adds read replica in us-west-2
- Updates security group rules for new connection requirements

The git-workflow skill ensures your team follows consistent practices across all infrastructure repositories.

supermemory for Context Management

The supermemory skill helps maintain context across complex infrastructure projects. When managing hundreds of resources across multiple cloud accounts, keeping track of dependencies and past decisions becomes challenging.

Supermemory stores and retrieves relevant information about your infrastructure:

This becomes invaluable when returning to a project after several weeks or when onboarding new team members.

Practical Examples

Generating Terraform Configuration

When starting a new module, describe your requirements to Claude and it generates appropriate configuration. For a basic AWS web server setup:

provider "aws" {
  region = "us-east-1"

  default_tags {
    tags = {
      Project     = "DemoProject"
      ManagedBy   = "Terraform"
      Environment = "development"
    }
  }
}

resource "aws_instance" "web_server" {
  ami           = "ami-0c55b159cbfafe1f0"
  instance_type = "t2.micro"

  root_block_device {
    volume_size = 20
    volume_type = "gp3"
  }

  tags = {
    Name        = "WebServer"
    Environment = "production"
  }
}

resource "aws_security_group" "web_sg" {
  name        = "web-server-sg"
  description = "Security group for web server"

  ingress {
    from_port   = 443
    to_port     = 443
    protocol    = "tcp"
    cidr_blocks = ["0.0.0.0/0"]
  }

  ingress {
    from_port   = 80
    to_port     = 80
    protocol    = "tcp"
    cidr_blocks = ["0.0.0.0/0"]
  }

  egress {
    from_port   = 0
    to_port     = 0
    protocol    = "-1"
    cidr_blocks = ["0.0.0.0/0"]
  }
}

For an S3 static site module:

# modules/s3-static-site/main.tf
resource "aws_s3_bucket" "website" {
  bucket = var.bucket_name
  
  tags = var.tags
}

resource "aws_s3_bucket_website_configuration" "website" {
  bucket = aws_s3_bucket.website.id

  index_document {
    suffix = "index.html"
  }

  error_document {
    key = "error.html"
  }
}

resource "aws_s3_bucket_public_access_block" "website" {
  bucket = aws_s3_bucket.website.id

  block_public_acls       = true
  block_public_policy     = true
  ignore_public_acls      = true
  restrict_public_buckets = true
}

Claude can generate this structure based on your description, then use the tdd skill to add appropriate validations.

Validating Infrastructure Changes

Before applying changes, ask Claude Code to run validation checks:

# Format checking
terraform fmt -check -recursive

# Validation
terraform validate

# Security scanning
terraform plan -out=tfplan
terraform show -json tfplan | jq -r '.resource_changes[] | select(.change.actions[]? == "create") | .type' > new-resources.txt

These checks catch issues before they reach your shared infrastructure.

Optimizing Your Workflow

State Management

Store your state files remotely using S3 with DynamoDB locking to enable team collaboration and prevent concurrent modifications:

terraform {
  backend "s3" {
    bucket         = "your-terraform-state"
    key            = "prod/terraform.tfstate"
    region         = "us-east-1"
    dynamodb_table = "terraform-locks"
    encrypt        = true
  }
}

The pdf skill occasionally helps when you need to read AWS or Terraform documentation directly. While primarily for PDF handling, you can extract critical information from whitepapers or architecture guides that inform your infrastructure decisions.

For state management, consider these practices:

Documentation Generation

Infrastructure documentation often lags behind implementation. Use a .terraform-docs.yml configuration to auto-generate documentation from your modules:

settings:
  header-from: "main.tf"
  footer-from: ""
  html: true
  show: ["all"]
plugins:
  find:
    enabled: true

Run terraform-docs ./modules to generate comprehensive documentation automatically. Use Claude skills to maintain documentation:

# outputs.tf
output "website_url" {
  description = "URL for the static website"
  value       = "https://${var.bucket_name}.s3-website-${var.region}.amazonaws.com"
}

output "bucket_arn" {
  description = "ARN of the S3 bucket"
  value       = aws_s3_bucket.website.arn
}

With proper outputs defined, you can generate comprehensive documentation automatically using Claude’s text generation capabilities.

Advanced Integration Patterns

For production environments, implement GitOps workflows using Terraform Cloud or AWS CodePipeline. Store your Terraform configurations in version control and trigger plan/apply operations automatically on pull request merges.

Consider implementing cost estimation by integrating Infracost before applying changes:

terraform plan -out=tfplan
infracost diff --tfplan tfplan

This helps teams understand the financial impact of infrastructure changes before applying them.

Common Pitfalls to Avoid

One frequent issue is running Terraform without understanding dependencies. The supermemory skill helps track these relationships over time. Another common mistake is committing sensitive data to version control—always use appropriate secret management solutions.

When working with modules, avoid creating overly complex variable structures. Instead, focus on clear, composable interfaces that other teams can easily consume.

Conclusion

Combining Claude Code skills transforms Terraform workflows from manual operations into streamlined, automated processes. Claude Code handles command execution, /tdd ensures testing, and /supermemory maintains project context. Together, these skills reduce errors and accelerate infrastructure delivery.

Experiment with different skill combinations to find what works best for your team’s specific needs. Infrastructure as code benefits enormously from systematic approaches, and Claude skills provide the tooling to implement those systems effectively.

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