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Terraform Infrastructure

Checked
aj-geddes·vlatest·cloud·MIT

Automates infrastructure provisioning and management using Terraform code, streamlining deployments and ensuring consistency.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add aj-geddes/useful-ai-prompts --skill terraform-infrastructure -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

aj-geddes

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned aj-geddes/useful-ai-prompts at 3f5182cfd7.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
3f5182cfd7
Manifest
skills/terraform-infrastructure/SKILL.md
Scanned
6 files, 464 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

The terraform-infrastructure skill enables AI agents to generate, validate, and manage Terraform configurations for cloud infrastructure. It translates natural language requirements into executable HCL code that provisions resources across major providers like AWS, Azure, and GCP.

When to use it

  • Provisioning new virtual machines, storage buckets, or networking components without manual CLI interaction.
  • Updating existing infrastructure definitions to align with changing security policies or capacity needs.
  • Generating terraform plan outputs to preview changes before applying them to production environments.
  • Creating modular, reusable Terraform code snippets for standardizing deployment patterns across teams.

Key capabilities

  • Converts natural language descriptions into valid Terraform HCL syntax.
  • Supports multi-provider configurations including AWS, Azure, and Google Cloud Platform.
  • Generates complete state files and variable definitions based on project requirements.
  • Validates syntax and identifies potential configuration conflicts before execution.
  • Outputs ready-to-run terraform apply commands with proper resource dependencies.

Example prompts

"Create a Terraform script to deploy three EC2 instances in an AWS VPC with public IPs." "Generate Terraform code for a Kubernetes cluster on GCP with 5 worker nodes and auto-scaling enabled." "Write a Terraform module that provisions an Azure SQL database with high availability settings."

Tips & gotchas

Ensure your AI agent has access to the latest Terraform provider plugins, as outdated versions may generate incompatible resource blocks. Always review generated plans in non-production environments first, since Terraform can create destructive changes if misconfigured.