Terraform Specialist

The Terraform Specialist skill enables AI agents to manage cloud infrastructure as code, specifically focusing on the lifecycle of Terraform state files and resource provisioning. It allows agents to safely plan, apply, and destroy resources while maintaining strict control over remote backends like S3 or Azure Blob Storage.

When to use it

• Automating the creation and modification of complex multi-cloud environments without manual CLI intervention.
• Managing state file locking and consistency across distributed teams to prevent configuration drift.
• Executing safe resource destruction workflows that adhere to organizational compliance policies.
• Generating and validating terraform plan outputs before committing changes to production repositories.

Key capabilities

• State file management with remote backends (S3, Azure Blob, GCS).
• Resource lifecycle automation including create, read, update, and delete operations.
• Integration with version control systems for infrastructure code tracking.
• Execution of terraform init, plan, and apply commands programmatically.

Example prompts

• "Initialize a new Terraform project in AWS and provision a VPC with public and private subnets."
• "Plan the changes required to update the instance type for all production EC2 resources from t3.medium to t3.large."
• "Destroy the development environment state file located in our S3 bucket after confirming no active workloads exist."

Tips & gotchas

Ensure your AI agent has explicit read/write permissions on the remote backend storage before attempting state management operations. Always verify that terraform plan outputs are reviewed by a human or validated against policy-as-code rules before executing apply in production environments to prevent accidental data loss.