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
Best use case
terraform-ai-skills is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
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
Teams using terraform-ai-skills should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/terraform-ai-skills/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How terraform-ai-skills Compares
| Feature / Agent | terraform-ai-skills | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
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
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
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SKILL.md Source
# Terraform AI Skills — Multi-Cloud Module Management AI-powered automation for managing Terraform modules at scale across AWS, GCP, Azure, and DigitalOcean. Transforms 56 hours of manual maintenance into 90 minutes. ## When to Use **Activate this skill when:** - Upgrading provider versions across 10–200+ module repositories - Standardizing GitHub Actions workflows across an organization - Creating semantic versioned releases with automated changelogs - Performing bulk validation (TFLint, TFSec, Trivy, Checkov) - Running a complete end-to-end maintenance cycle **Don't use for:** - Single Terraform project maintenance - Writing individual Terraform configurations - Provider-specific API questions ## Available Skills ### Full Maintenance ⚡ _(Recommended)_ ``` @copilot use terraform-ai-skills/config/aws.config and follow terraform-ai-skills/prompts/4-full-maintenance.prompt ``` Discovery → Provider upgrades → Workflow fixes → Validation → Releases **Time:** 45–180 min ### Provider Upgrade 🔄 ``` @copilot use terraform-ai-skills/config/aws.config and follow terraform-ai-skills/prompts/1-provider-upgrade.prompt ``` Updates provider constraints, Terraform versions, examples, runs validation. **Time:** 10–90 min ### Workflow Standardization 🔧 ``` @copilot use terraform-ai-skills/config/gcp.config and follow terraform-ai-skills/prompts/2-workflow-standardization.prompt ``` Pins GitHub Actions to SHAs, removes deprecated actions. **Time:** 15–30 min ### Release Creation 🚀 ``` @copilot use terraform-ai-skills/config/azure.config and follow terraform-ai-skills/prompts/3-release-creation.prompt ``` Generates changelogs, semantic version tags, GitHub releases. **Time:** 10–20 min ## Quick Start ```bash # 1. Always test on ONE repo first @copilot use terraform-ai-skills/config/aws.config and upgrade provider in terraform-aws-vpc only # 2. If successful, run full maintenance @copilot use terraform-ai-skills/config/aws.config and follow terraform-ai-skills/prompts/4-full-maintenance.prompt # 3. Verify git status && gh run list && gh release list ``` ## Cloud Provider Support | Provider | Config file | Terraform | Min Provider | |--------------|-------------------------------|-----------|--------------| | AWS | `config/aws.config` | 1.10.0+ | 5.80.0+ | | GCP | `config/gcp.config` | 1.10.0+ | 6.20.0+ | | Azure | `config/azure.config` | 1.10.0+ | 4.20.0+ | | DigitalOcean | `config/digitalocean.config` | 1.10.0+ | 2.70.0+ | ## Proven Results | Operation | Manual (170 repos) | With Skills | Savings | |------------------|--------------------|-------------|---------| | Provider upgrade | 56 hours | 90 minutes | 97% ⬇️ | | Workflow fixes | 20 hours | 30 minutes | 97% ⬇️ | | Full maintenance | 86 hours | 2–3 hours | 97% ⬇️ | ## Requirements - **Terraform** 1.10.0+ · **Git** 2.30+ · **Bash** 4.0+ - **AI assistant:** GitHub Copilot CLI, Claude, ChatGPT, or Cursor - `gh` CLI _(optional — recommended for releases)_ - TFLint / TFSec / Trivy / Checkov _(optional — enhanced validation)_ ## Detailed Reference Guides For deeper guidance on specific topics: - **[Provider Configs](references/provider-configs.md)** — Per-cloud config options, customization, env vars - **[Safety & Rollback](references/safety.md)** — Pre-flight checklist, rollback procedures, emergency recovery - **[Real-World Examples](references/examples.md)** — Case studies across AWS, GCP, Azure, DigitalOcean - **[Quick Reference](references/quick-reference.md)** — Command cheat sheet, prompts guide, common patterns ## License MIT © 2026 Anmol Nagpal
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