tf-avm-agent

name	tf-avm-agent
description	Generate production-ready Terraform code using Azure Verified Modules (AVM). Use when asked about Azure infrastructure, Terraform module selection, or infrastructure-as-code generation.
license	MIT
metadata	{"author":"sujaypillai","version":"1.0.0","tags":["terraform","azure","avm","infrastructure-as-code","ai-agent"]}

Terraform AVM Agent Skill

What This Package Does

This package gives AI coding assistants deep expertise in Azure infrastructure generation using Terraform and Azure Verified Modules (AVM). It includes:

• Terraform coding standards for .tf files (version constraints, naming, validation)
• Python project conventions for the agent codebase
• Guided prompts for generating Terraform projects from service lists or architecture diagrams
• Expert agent persona specialized in Terraform and Azure

When To Use

• When asked to create Azure infrastructure using Terraform
• When selecting Azure Verified Modules for a project
• When reviewing Terraform code for AVM best practices
• When converting architecture diagrams to infrastructure code
• When adding new Azure services to an existing Terraform project

Available Prompts

• /generate-terraform — Generate a complete Terraform project from Azure service names
• /analyze-diagram — Convert an architecture diagram to Terraform code
• /add-avm-module — Add a new AVM module to the registry

Key Conventions

• Use pessimistic version constraints (~> X.0) for providers and modules
• Always include enable_telemetry = var.enable_telemetry in AVM modules
• Use kebab-case for module instance names
• Storage accounts and Key Vaults need globally unique names (24 chars max)
• Use locals with merge() instead of variable defaults referencing other variables
• Fetch current module versions from Terraform Registry with module.get_latest_version()