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

3,880 stars

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

$curl -o ~/.claude/skills/terraform-ai-skills/SKILL.md --create-dirs "https://raw.githubusercontent.com/openclaw/skills/main/skills/anmolnagpal/terraform-ai-skills/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/terraform-ai-skills/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How terraform-ai-skills Compares

Feature / Agentterraform-ai-skillsStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/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.

Related Guides

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

Related Skills

find-skills

3891
from openclaw/skills

Helps users discover and install agent skills when they ask questions like "how do I do X", "find a skill for X", "is there a skill that can...", or express interest in extending capabilities. This skill should be used when the user is looking for functionality that might exist as an installable skill.

General Utilities

ht-skills

3891
from openclaw/skills

管理灏天文库文集和文档,支持新建文集、新建文档、查询文集/文档、更新文档、修改文档归属、管理文档层级。适用于 OpenClaw 自主写文章并上传、文集创建、文档入库、文档移动等场景。

Content & Documentation

web-skills-protocol

3891
from openclaw/skills

Auto-discover and use Web Skills Protocol (WSP) skills when interacting with websites. Use this skill whenever the user asks you to interact with, use, or perform actions on a website or web service — such as searching a site, placing an order, deploying an app, or calling a web API. Before scraping HTML or guessing at interfaces, check if the site publishes a skills.txt or agents.txt file that teaches you how to use it properly. If a website has complex elements (e.g., heavy JavaScript, interactive UIs), activating this skill can also help you understand the site's purpose and capabilities. Do NOT use for local file operations or non-web tasks.

Workflow & Productivity

clawdtm-skills

3891
from openclaw/skills

Review and rate Claude Code skills. See what humans and AI agents recommend.

General Utilities

micropython-skills/sensor

3891
from openclaw/skills

MicroPython sensor reading — DHT11/22, BME280, MPU6050, ADC, ultrasonic HC-SR04, photoresistor, generic I2C sensors.

Coding & Development

micropython-skills/network

3891
from openclaw/skills

MicroPython networking — WiFi STA/AP, HTTP requests, MQTT pub/sub, BLE, NTP time sync, WebSocket.

Coding & Development

micropython-skills/diagnostic

3891
from openclaw/skills

MicroPython device diagnostics — system info, I2C/SPI bus scan, pin state, filesystem, memory, performance benchmarks.

Embedded Systems & IoT

micropython-skills/algorithm

3891
from openclaw/skills

MicroPython on-device algorithms — PID controller, moving average, Kalman filter, state machine, task scheduler, data logger.

Coding & Development

micropython-skills/actuator

3891
from openclaw/skills

MicroPython actuator control — GPIO output, PWM (LED/servo/motor), stepper motor, WS2812 NeoPixel, buzzer.

Internet of Things

micropython-skills

3891
from openclaw/skills

Program and interact with embedded development boards (ESP32, ESP32-S3, ESP32-C3, ESP8266, NodeMCU, Raspberry Pi Pico, RP2040, STM32) through real-time REPL. This skill turns microcontroller hardware into an AI-programmable co-processor — read sensors, control actuators, flash firmware, diagnose devices, and deploy algorithms. Trigger when the user mentions any dev board or hardware interaction: ESP32, ESP8266, NodeMCU, Pico, 开发板, 板子, 单片机, 嵌入式, microcontroller, development board, sensor reading, GPIO, LED, motor, relay, I2C, SPI, UART, ADC, PWM, servo, DHT, BME280, temperature sensor, 传感器, 读传感器, 控制电机, 继电器, flash firmware, 烧录, 刷固件, 刷机, mpremote, MicroPython, IoT, MQTT, WiFi on board, 设备没反应, device not responding, or any task involving programming or controlling a physical microcontroller board.

Embedded Development

unified-find-skills

3891
from openclaw/skills

Helps users discover and install agent skills from skills.sh, clawhub.com, and tessl.io. Use when the user asks to find a skill for a task, extend agent capabilities, or search for tools/workflows.

Skills for openclaw

3891
from openclaw/skills

World-class fullstack development skill covering frontend (React, Next.js, Vue, HTML/CSS/JS), backend (Node.js, Python/FastAPI, Django, Express), databases (PostgreSQL, MongoDB, Redis), APIs (REST, GraphQL), DevOps (Docker, CI/CD), and architecture design. Use this skill whenever the user asks to build, fix, review, architect, or debug ANY web application — frontend, backend, or full-stack.