# KiCad Footprint Generator Skill

This is an AI skill based on the open Agent Skills standard. It empowers your AI programming assistants (such as Claude Code, Google Antigravity, Gemini CLI, etc.) with the ability to directly read datasheet specifications and generate KiCad footprint scripts.

  

## 📦 Directory Structure

```text kicad-footprint-generator/ ├── SKILL.md # Core identity and high-level workflow ├── docs/ # Modular documentation and references │ ├── GUIDE.md # Detailed generation procedures │ ├── API_REFERENCE.md # KiCad Python API and template mapping │ ├── ENVIRONMENT.md # Path detection and deployment guide │ ├── VERIFICATION.md # Mandatory testing workflow │ └── EXAMPLES.md # Reference implementations ├── templates/ # Official KiCad script blueprints │ └── ... # Python templates (QFP, BGA, etc.) ```

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## Requirements This skill works the best on Linux or other UNIX based system. It should works fine on Windows but most LLM agents sometimes confuse about powershell or CMD commands on Windows.

## 🚀 Installation Guide

Since this skill uses the standard SKILL.md format, you can easily install it into various AI Agent CLIs and IDEs that support this standard.

### 1. Claude Code

Launch any Claude Code session, any model and paste this into it: ``` Can you please install this skill for yourself: `https://github.com/zxkmm/kicad-footprint-generate.git` ```

### 2. Google Antigravity

Launch any Antigravity CLI session, any model and paste this into it: ``` Can you please install this skill for yourself: `https://github.com/zxkmm/kicad-footprint-generate.git` ```

### 3. Cursor & Other Open Agent Skills Compatible Tools

For other tools that support the agentskills.io specificat