Claude Skill

aklofas/kicad-happy

KiCad-Happy 是一款用于 KiCad 电子设计的 AI 编程助手技能,兼容 Claude Code 和 OpenAI Codex,可分析原理图、审查 PCB 布局、运行 SPICE 仿真、采购元器件并准备制造文件。

概览

Stars561
Forks44
语言Python
最后更新2026-06-14
最近同步2026-06-17
前往 GitHub

仓库信息

拥有者aklofas
仓库kicad-happy
完整名称aklofas/kicad-happy
Repo ID1,176,559,390

安装这个 Skill

git clone https://github.com/aklofas/kicad-happy.git

Registry 信息

类型codex_skill
质量分75/100
验证状态readme_parsed
最近验证2026-06-10
平台
ClaudeCodex
能力
browsercode-reviewpdfmemorysearchimageterminalworkflowai-skillsbom-management
识别文件
README.md
配置键
URLDIGIKEY_CLIENT_IDDIGIKEY_CLIENT_SECRETMOUSER_SEARCH_API_KEYELEMENT14_API_KEYANTHROPIC_API_KEY

项目简介

KiCad-Happy 是一款用于 KiCad 电子设计的 AI 编程助手技能,兼容 Claude Code 和 OpenAI Codex。它能自动完成电路原理图分析、PCB 布局审查、EMC 预合规检查、SPICE 仿真、数据手册下载、元器件采购以及制造文件准备。

英文描述

AI coding agent skills for KiCad electronics design. Works with Claude Code and OpenAI Codex. Analyze schematics, review PCB layouts, EMC pre-compliance, SPICE simulation, download datasheets, source components, and prep boards for fabrication.

要点

  • 电路原理图分析与设计审查
  • PCB 布局审查及 EMC 预合规检查
  • 支持 SPICE 仿真
  • 通过 DigiKey 下载数据手册和采购元器件
  • BOM 管理与制造文件准备(Gerber、JLCPCB)

使用场景

  • 为硬件团队自动化 KiCad 设计审查
  • 准备 Gerber 和 JLCPCB 输出以进行电路板制造
  • 直接从 KiCad 项目运行 SPICE 仿真
  • 在设计过程中采购元器件并下载数据手册
  • 对 PCB 布局执行 EMC 预合规检查

README 摘要

# ⚡ kicad-happy [![CI](https://github.com/aklofas/kicad-happy/actions/workflows/ci.yml/badge.svg)](https://github.com/aklofas/kicad-happy/actions/workflows/ci.yml) [![Python 3.10+](https://img.shields.io/badge/python-3.10%2B-blue)](https://www.python.org/) [![License: MIT](https://img.shields.io/badge/license-MIT-green)](LICENSE) [![Mentioned in Awesome KiCad](https://awesome.re/mentioned-badge.svg)](https://github.com/joanbono/awesome-kicad) AI-powered design review for KiCad. Analyzes schematics, PCB layouts, and Gerbers. Catches real bugs before you order boards. Works with **[Claude Code](https://docs.anthropic.com/en/docs/claude-code)**, **[OpenAI Codex](https://github.com/openai/codex)**, **[GitHub Copilot CLI](https://docs.github.com/en/copilot)**, and **[Gemini CLI](https://github.com/google-gemini/gemini-cli)**, as a **GitHub Action** for automated PR reviews, or as standalone Python scripts you can run anywhere. These skills turn your AI coding agent into a full-fledged electronics design assistant that understands your KiCad projects at a deep level: parses schematics and PCB layouts into structured data, cross-references component values against datasheets, detects common design errors, and walks you through the full prototype-to-production workflow. ## 🔬 What it looks like in practice Point your agent at a KiCad project and it does the rest — parses every schematic and PCB file, traces every net, computes every voltage, and tells you what's wrong before you spend money on boards. > "Analyze my KiCad project at `hardware/rev2/`" Here's a condensed example from an open-source robot controller board. The agent found all of this automatically: **It builds your power tree** — tracing every regulator from input to load, computing output voltages from fee

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数据来自 GitHub,同步时间:2026-06-17