terrashark
LukasNiessen · LukasNiessen/terrashark
A Terraform skill for Claude Code and Codex that eliminates LLM hallucinations, grounds IaC in official best practices, and promotes modular, secure code.
Terraform Skill for Claude Code and Codex. LLMs hallucinate a lot with Terraform - TerraShark fixes this. It eliminates hallucinations, is designed for modular and secure code and grounds your IaC in the official Hashicorp Terraform best practices.
Preview
What you can do with it
- Generate reliable and secure Terraform configurations for AWS, Azure, or GCP without hallucinations.
- Refactor existing Terraform code to adhere to HashiCorp's recommended practices.
- Quickly create modular and reusable Terraform modules that follow security-first design principles.
Safety check
No risky patterns found in the files we scanned.
Automated scan of the repo files. Always review code you run.
From the README
Terraform Skill for Claude Code, Codex, Antigravity, and Gemini CLI: TerraShark
The #1 Terraform skill for Claude Code and Codex, measured by GitHub stars.
Fixes Hallucinations.
LLMs hallucinate a lot when it comes to Terraform. This skill fixes it. It includes best practices for Terraform and OpenTofu - good, bad, and neutral examples so the AI avoids common mistakes. Using TerraShark, the AI keeps proven practices in mind, eliminates hallucinations, and defaults to modular, reusable, security-first design.
Very Token-Efficient.
Most Terraform skills dump huge text-of-walls onto the agent and burn expensive tokens - with no upside. LLMs don't need the entire Terraform docs again. TerraShark was aggressively de-duplicated and optimized for maximum quality per token.
Based on HashiCorp's Official Best Practices.
TerraShark is primarily based on HashiCorp official recommended practices. When guidance conflicts, it prioritizes HashiCorp's recommendations.
Quick Start • Why TerraShark? • Token Strategy • What's Included • How It Works • Sponsor • Philosophy
⚡ 2 min Quickstart
Option 1: Clone
macOS / Linux:
git clone https://github.com/LukasNiessen/terrashark.git ~/.claude/skills/terrashark
Windows (Powershell):
git clone https://github.com/LukasNiessen/terrashark.git "$env:USERPROFILE\.claude\skills\terrashark"
Windows (Command Prompt):
git clone https://github.com/LukasNiessen/terrashark.git "%USERPROFILE%\.claude\skills\terrashark"
That's it. Claude Code auto-discovers skills in ~/.claude/skills/ - no restart needed.
Option 2: Marketplace
Claude Code has a built-in plugin system with marketplace support. Instead of cloning manually, you can add TerraShark's marketplace and install directly from the CLI:
/plugin marketplace add LukasNiessen/terrashark
/plugin install terrashark
Or use the interactive plugin manager - run /plugin, switch to the Discover tab, and install from there. The marketplace reads the .claude-plugin/marketplace.json in this repo to register TerraShark as an installable plugin.
Option 3: Codex
Codex has no global skill system - setup is per-project. Clone TerraShark into your repo and reference it from your AGENTS.md:
# Clone into your project root
git clone https://github.com/LukasNiessen/terrashark.git .terrashark
Then add to your AGENTS.md (or create one in the repo root):
## Terraform
When working with Terraform or OpenTofu, follow the workflow in `.terrashark/SKILL.md`.
Load references from `.terrashark/references/` as needed.
Option 4: Antigravity
macOS / Linux:
git clone https://github.com/LukasNiessen/terrashark.git ~/.gemini/antigravity/skills/terrashark
Windows (PowerShell):
git clone https://github.com/LukasNiessen/terrashark.git "$env:USERPROFILE\.gemini\antigravity\skills\terrashark"
Antigravity auto-discovers skills in the skills directory — no restart needed.
Option 5: Gemini CLI
Gemini CLI discovers skills in several standard locations.
Global Installation (All Workspaces):
git clone https://github.com/LukasNiessen/terrashark.git ~/.gemini/skills/terrashark
Local Installation (Current Workspace):
git clone https://github.com/LukasNiessen/terrashark.git .gemini/skills/terrashark
Gemini CLI auto-discovers skills in these directories. Run /skills list in the CLI to verify.
That's it!
Done. Now ask Claude Code / Codex / Antigravity / Gemini CLI any Terraform question. TerraShark responses follow the 7-step failure-mode workflow and include an output contract with assumptions, tradeoffs, and rollback notes.
Invoke explicitly:
/terrashark Create a multi-region S3 module with replication
/terrashark Refactor our EKS stack into separate state files per environment, add moved blocks to avoid recreation, set up a GitHub Actions pipeline with plan on PR and gated apply on merge, and wire in Checkov for compliance scanning
Or just ask naturally - TerraShark activates automatically for any Terraform/OpenTofu task:
Review my main.tf for security issues
Migrate this module from count to for_each
🎬 Demo
https://github.com/user-attachments/assets/2bc4c9ff-9f54-4a49-8bf0-5cfc0f26dec6
📊 Library Comparison
Here's how TerraShark compares to other Terraform and OpenTofu agent skills:
| Feature | TerraShark | Anton Babenko terraform-skill | terraform-patterns |
|---|---|---|---|
| Core Architecture | ✅ Failure-mode workflow | ⚠️ Static reference manual | ⚠️ Pattern checklist |
| SKILL.md Activation Cost | ✅ ~600 tokens | ⚠️ ~4,400 tokens | ⚠️ Single broad reference |
| Reference Granularity | ✅ 19 focused files | ⚠️ 6 large files | ❌ No focused reference library |
| Token Burn Per Query | ✅ Low (load 1-2 small refs) | ⚠️ High for deep references | ⚠️ Loads broad guidance |
| Diagnoses Before Generating | ✅ Step 2 requires diagnosis | ❌ No | ❌ No |
| Hallucination Prevention | ✅ Core design goal |