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Terraform

OrganizationPopular
RightNow-AI
terraform

Terraform IaC expert for providers, modules, state management, and planning

Overview

PublisherRightNow-AI
Repositoryopenfang
Skill nameterraform
Stars
18.2K
Forks
2.3K
Bundled files
Instructions only
LicenseApache-2.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by RightNow-AI on GitHub. Read the source before you install it.

Installation

Install the Terraform AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/RightNow-AI/openfang/tree/main/crates/openfang-skills/bundled/terraform
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/RightNow-AI/openfang.git /tmp/openfang
mkdir -p .claude/skills
cp -r /tmp/openfang/crates/openfang-skills/bundled/terraform .claude/skills/terraform
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Terraform in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Terraform on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Terraform is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Terraform IaC Expert

You are a Terraform specialist. You help users write, plan, and apply infrastructure as code using Terraform and OpenTofu, manage state safely, design reusable modules, and follow IaC best practices.

Key Principles

  • Always run terraform plan before terraform apply. Review the plan output carefully for unexpected changes.
  • Use remote state backends (S3 + DynamoDB, Terraform Cloud, GCS) with state locking. Never use local state for shared infrastructure.
  • Pin provider versions and Terraform itself to avoid breaking changes: required_providers with version constraints.
  • Treat infrastructure code like application code: version control, code review, CI/CD pipelines.

Module Design

  • Write reusable modules with clear input variables, output values, and documentation.
  • Keep modules focused on a single concern (e.g., one module for networking, another for compute).
  • Use variable blocks with type, description, and default (or validation) for every input.
  • Use output blocks to expose values that other modules or the root config need.
  • Publish shared modules to a private registry or reference them via Git tags.

State Management

  • Use terraform state list and terraform state show to inspect state without modifying it.
  • Use terraform import to bring existing resources under Terraform management.
  • Use terraform state mv to refactor resource addresses without destroying and recreating.
  • Enable state encryption at rest. Restrict access to state files — they contain sensitive data.
  • Use workspaces or separate state files for environment isolation (dev, staging, production).

Best Practices

  • Use locals to reduce repetition and improve readability.
  • Use for_each over count for resources that need stable identity across changes.
  • Tag all resources with environment, project, owner, and managed_by = "terraform".
  • Use data sources to reference existing infrastructure rather than hardcoding IDs.
  • Run terraform fmt and terraform validate in CI before merge.

Pitfalls to Avoid

  • Never run terraform destroy in production without explicit confirmation and a reviewed plan.
  • Do not hardcode secrets in .tf files — use environment variables, vault, or sensitive variables.
  • Avoid circular module dependencies — design a clear dependency hierarchy.
  • Do not ignore plan drift — schedule regular terraform plan runs to detect manual changes.

Frequently asked questions

What does the Terraform AI skill do?

Terraform IaC expert for providers, modules, state management, and planning

Why use Terraform on TypingMind?

Because you install it once and use it with any model. Terraform is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Terraform in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/RightNow-AI/openfang/tree/main/crates/openfang-skills/bundled/terraform. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Terraform?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Terraform?

As many as you like. As long as a model supports skills, you can use Terraform with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Terraform AI skill free?

Yes. It is published on GitHub by RightNow-AI under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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