kicad-happy
aklofas/kicad-happy
Coordinates electronics component sourcing, pricing, BOM management, and distributor workflows for KiCad projects across multiple suppliers.
Overview
This skill acts as a comprehensive orchestration layer for electronic hardware projects using KiCad. It manages the complete Bill of Materials (BOM) lifecycle—from schematic analysis and sourcing gaps identification to datasheet synchronization, distributor searches, stock validation, and final order file generation. It integrates with major suppliers like DigiKey, Mouser, LCSC, and element14, writing properties directly back to KiCad schematic symbol properties.
Capabilities
- ▸KiCad schematic analysis and recursive sub-sheet parsing
- ▸Multi-distributor part searching and lifecycle verification
- ▸Automated datasheet downloading and schematic URL backfilling
- ▸BOM tracking CSV generation, merging, and property syncing
- ▸Per-distributor order file and cost estimation generation
Best for
Analyzing KiCad schematics for missing component parts and sourcing gaps, Searching and comparing part pricing and availability across distributors like DigiKey, Mouser, and LCSC, Synchronizing and downloading official component datasheets into the project repository, Generating finalized BOM tracking CSVs and per-distributor order files for fabrication, Updating KiCad schematic symbol properties with manufacturer part numbers and distributor SKUs
Works with
実タスクにどれだけ役立つか(機能の豊富さ・用途の明確さ)。 — AIによるcapabilities/use-cases解析
実装・指示の品質。 — AIによるSKILL.md/README解析
リポジトリがどれだけ活発に保守されているか。 — GitHub 最終push日時の新しさ
ドキュメントの充実度・分かりやすさ。 — README/独自要約の情報量
危険・不審な挙動が無いか。 — AIによるセキュリティレビュー
ありふれたラッパーではない独自性。 — AIによる独自性判定
コミュニティの採用度。 — GitHub Stars/Forks(対数スケール)
対応AIエージェントの広さ。 — AIによる対応エージェント判定
ライセンス不明/制限あり(Red)のSkillは総合スコアに0.85倍の補正を適用します。 ランキングはこのScoreのみで決まり、広告で変わりません。 算出方法の詳細 →
Security considerations
The skill executes local Python scripts that parse and modify KiCad schematic files and write files to the local disk. It interacts with external distributor APIs to fetch pricing and component details.
Categories
Summary and analysis are original content generated by AI Skills Rank. The skill's source text is not reproduced here — view it on the linked repository.