Terraform Infrastructure

The terraform-infrastructure skill enables AI agents to generate, validate, and manage Terraform configurations for cloud infrastructure. It translates natural language requirements into executable HCL code that provisions resources across major providers like AWS, Azure, and GCP.

When to use it

• Provisioning new virtual machines, storage buckets, or networking components without manual CLI interaction.
• Updating existing infrastructure definitions to align with changing security policies or capacity needs.
• Generating terraform plan outputs to preview changes before applying them to production environments.
• Creating modular, reusable Terraform code snippets for standardizing deployment patterns across teams.

Key capabilities

• Converts natural language descriptions into valid Terraform HCL syntax.
• Supports multi-provider configurations including AWS, Azure, and Google Cloud Platform.
• Generates complete state files and variable definitions based on project requirements.
• Validates syntax and identifies potential configuration conflicts before execution.
• Outputs ready-to-run terraform apply commands with proper resource dependencies.

Example prompts

"Create a Terraform script to deploy three EC2 instances in an AWS VPC with public IPs." "Generate Terraform code for a Kubernetes cluster on GCP with 5 worker nodes and auto-scaling enabled." "Write a Terraform module that provisions an Azure SQL database with high availability settings."

Tips & gotchas

Ensure your AI agent has access to the latest Terraform provider plugins, as outdated versions may generate incompatible resource blocks. Always review generated plans in non-production environments first, since Terraform can create destructive changes if misconfigured.