by aklofas · Codex Skill · ★ 269
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
⚡ kicad-happy AI coding agent skills for electronics design with KiCad. Analyze schematics, review PCB layouts, download datasheets, source components, and prepare boards for fabrication — all from your terminal. 🛠️ Works with Claude Code and OpenAI Codex — AI coding agents that live in your terminal. Skills like these extend them into entirely new domains beyond software. 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's included 📋 Full BOM lifecycle — analyze, source, price, export tracking CSVs, generate per-supplier order files.
| Stars | 269 |
| Forks | 24 |
| Language | Python |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 54.132/100 |
| Open Issues | 1 |
| Last Updated | 2026-05-04 |
| Created | 2026-03-09 |
| Platforms | claude-code, codex, python |
| Est. Tokens | ~329k |
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kicad-happy is 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 . It is categorized as a Codex Skill with 269 GitHub stars.
kicad-happy is primarily written in Python. It covers topics such as ai-skills, bom-management, claude-code.
You can find installation instructions and usage details in the kicad-happy GitHub repository at github.com/aklofas/kicad-happy. The project has 269 stars and 24 forks, indicating an active community.
kicad-happy is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to kicad-happy on Agent Skills Hub include kicad-mcp-pro, haft, quint-code. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.