Use when implementing infrastructure as code with Terraform across AWS, Azure, or GCP. Invoke for module development, state management, provider configuration, multi-environment workflows, infrastructure testing.
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Select your agent
Option 1: Install via CLI (recommended)
Recommended (no pre-install needed)
npx clawhub@latest --dir ~/.claude/skills install terraform-engineerOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install terraform-engineerβ οΈ Requires Node.js 18+. No Node? Use Option 2 below to download the ZIP instead. Install Node.js β
Option 2: Manual install (no Node required)
Download the ZIP, extract it, and place the folder at the path below. Restart your agent to activate.
Install path
~/.claude/skills/terraform-engineer/π‘Extract and place the folder at the path above, then restart your agent.
Category
π»Developer & DevOpsPlatforms
What Terraform Engineer can do for your AI workflow
When implementing directly from your Claude conversation
Works across Claude, Cursor, OpenClaw β install once, use everywhere
Trusted by 3,012+ developers worldwide
One-command installation β no complex setup required
Combine with other skills to build powerful multi-step AI workflows
Try these prompts with your AI agent after installing Terraform Engineer
Help me get started with Terraform Engineer
Explains what Terraform Engineer does, walks through the setup, and runs a quick demo based on your current project
Use Terraform Engineer to use when implementing infrastructure as code with Terraform across ...
Invokes Terraform Engineer with the right parameters and returns the result directly in the conversation
What can I do with Terraform Engineer in my developer & devops workflow?
Lists the top use cases for Terraform Engineer, with example commands for each scenario
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Terraform Engineer extends your AI assistant with the ability to use when implementing infrastructure as code with Terraform across AWS, Azure, or GCP. Invoke for module development, state management, provider configuration, multi-environment workflows, infrastructure testing. Rather than leaving your conversation to handle this manually, you can ask your Claude agent directly β and it will take care of the task end-to-end, using Terraform Engineer as its underlying capability.
Terraform Engineer works across Claude, Cursor, OpenClaw through the Model Context Protocol (MCP) β an open standard that lets AI clients share tools and skills without lock-in. Because MCP is platform-agnostic by design, you install Terraform Engineer once and it becomes available across all your AI clients. Whether you're working in Claude for focused sessions or Cursor for integrated workflows, the skill behaves consistently.
To install Terraform Engineer, copy the skill folder to `~/.claude/skills/terraform-engineer/` for use across all your projects, or `.claude/skills/terraform-engineer/` for a single project. Restart Claude and the skill is immediately active β invoke it with `/terraform-engineer` or just describe your goal and the AI will pick it up automatically.
Terraform Engineer has been installed 3,012 times, making it one of the more actively used skills in the Developer & DevOps category. The install rate suggests it solves a real, recurring need rather than a niche edge case. Like all skills on DiscoverAISkills, it is free to install and use. The broader AI skills ecosystem continues to expand as developers contribute new capabilities across categories like developer tools, data analysis, writing, automation, and more.
Place the skill folder at ~/.claude/skills/terraform-engineer/ for personal use (all projects), or .claude/skills/terraform-engineer/ for project-specific use. Restart your AI client, then invoke with /terraform-engineer or let the AI discover it automatically.
Terraform Engineer supports Claude, Cursor, OpenClaw. It integrates seamlessly with these AI platforms to extend their capabilities.
Terraform Engineer is free to install. Check the repository for licensing information.
Use when implementing infrastructure as code with Terraform across AWS, Azure, or GCP. Invoke for module development, state management, provider configuration, multi-environment workflows, infrastructure testing.
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