#364 · Primary category: AI Coding Assistants
terraform-skill
Terraform & OpenTofu Skill for AI Agents - testing, modules, CI/CD, and production patterns
Project last updated:07/03/26
GitHub Stars
2.3K
Forks
204
Contributors
8
License
Other
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.
Articles for this project
No articles for this project yet.
To suggest a topic or contribute an article, contact us.
Related projects in this category
superpowers
An agentic skills framework & software development methodology that works.
ECC
The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
skills
Skills for Real Engineers. Straight from my .agents directory.
opencode
The open source coding agent.
andrej-karpathy-skills
A single CLAUDE.md file to improve Claude Code behavior, derived from Andrej Karpathy's observations on LLM coding pitfalls.