#364 · Primary category: AI Coding Assistants

terraform-skill

agent-skills best-practices claude-code claude-skills devops infrastructure-as-code modules opentofu terraform testing

Terraform & OpenTofu Skill for AI Agents - testing, modules, CI/CD, and production patterns

Project last updated:07/03/26

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Why we included this project

Teams that lean on AI coding agents to write or maintain infrastructure-as-code will get more consistent output with this skill loaded. It bundles Terraform and OpenTofu best practices into a package that Claude Code, Cursor, and other agent hosts can pick up automatically, so the assistant follows the same module structure, versioning, and naming conventions instead of improvising. The guidance is built around real production concerns: decision matrices for native tests versus Terratest, remote backend and state-locking patterns for AWS, Azure, and GCP, and Trivy and Checkov scanning workflows for security and compliance. It also includes ready-to-adapt GitHub Actions and GitLab CI examples, so you do not have to rebuild pipeline scaffolding from scratch. Teams already comfortable with Terraform will find it most useful as a guardrail that cuts review churn and keeps generated code aligned with house conventions.

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