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terraform-ai-skills

Use when bulk-managing Terraform modules at scale — upgrading providers across AWS, GCP, Azure, or DigitalOcean repositories, standardizing GitHub Actions workflows, automating semantic releases, running security scans, or performing end-to-end maintenance cycles across 10–200+ module repositories

skill-install — Terminal

Install via CLI (Recommended)

clawhub install openclaw/skills/skills/anmolnagpal/terraform-ai-skills
Or

What This Skill Does

The terraform-ai-skills agent is a specialized automation tool designed for enterprise-scale management of Terraform module repositories. It abstracts the complexity of maintaining dozens to hundreds of infrastructure-as-code modules by standardizing provider versions, fixing CI/CD workflows, and automating semantic versioning. By leveraging pre-configured operational prompts and cloud-specific configurations, the agent transforms multi-day manual maintenance tasks—such as updating AWS provider constraints or rotating GitHub Action secrets—into streamlined, automated cycles. It is built to ensure consistent infrastructure security and governance across hybrid and multi-cloud environments, including AWS, GCP, Azure, and DigitalOcean.

Installation

To integrate this agent into your workflow, ensure you have the OpenClaw CLI configured, then execute the following command in your terminal:

clawhub install openclaw/skills/skills/anmolnagpal/terraform-ai-skills

Once installed, you can trigger the agent using @copilot within your supported IDE or command interface. Ensure your environment has the necessary Git and GitHub CLI (gh) permissions to read and write to your infrastructure repositories.

Use Cases

This skill is engineered for DevOps engineers, SREs, and Platform teams managing large-scale infrastructure footprints. Common scenarios include:

  • Bulk Provider Upgrades: Automatically bumping provider versions across 100+ repos while updating associated local module examples.
  • CI/CD Standardization: Enforcing unified GitHub Actions workflows across an entire organization by pinning action SHAs and removing legacy workflows.
  • Security Hardening: Running bulk security scans using TFLint, TFSec, and Checkov to identify misconfigurations across all managed modules.
  • Automated Release Management: Generating standardized changelogs and semantic versions based on commit history for entire module libraries.

Example Prompts

  1. "@copilot use terraform-ai-skills/config/aws.config and initiate a bulk provider upgrade across all repositories in the infra-modules organization to version 5.80.0."
  2. "@copilot use terraform-ai-skills/config/gcp.config and follow terraform-ai-skills/prompts/2-workflow-standardization.prompt to standardize all GCP module workflows."
  3. "@copilot use terraform-ai-skills/config/azure.config and run a security scan using Checkov across all modules; report only critical findings."

Tips & Limitations

  • Safety First: Always execute the skill on a single pilot repository before running it across your entire fleet. Verify changes locally with git status.
  • Scope: This tool is not intended for authoring individual Terraform resources; it is strictly a maintenance and governance tool.
  • Versioning: Always consult the Cloud Provider Support table in the documentation to ensure your Terraform version meets the minimum requirements for the skill's specific configuration files.

Metadata

Stars4473
Views0
Updated2026-05-01
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Add to Configuration

Paste this into your clawhub.json to enable this plugin.

{
  "plugins": {
    "official-anmolnagpal-terraform-ai-skills": {
      "enabled": true,
      "auto_update": true
    }
  }
}

Tags(AI)

#terraform#devops#automation#infrastructure#multi-cloud
Safety Score: 3/5

Flags: file-read, file-write, code-execution, external-api