tf-compound-patterns

What problem does it solve?

Terraform workflow learnings are hard to reuse across teams without a structured memory system. This skill provides a consistent format to capture patterns, pitfalls, and decisions for Terraform automation.

Core Features & Use Cases

• Pattern extraction heuristics for Terraform runs.
• Pitfall recording format to document common mistakes and mitigations.
• A canonical directory structure (memory) to organize knowledge compounds for Terraform workflows.
• Use Case: A team documents module composition patterns and failure modes to accelerate future work.

Quick Start

Review a Terraform run and add the observed patterns and pitfalls to the memory compounds directory.