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shoka-jp/README.md

shoka — Automotive AI and open source. Practical tools. Shared progress.

Try a demo · OSS contributions · Qiita · Sponsor

I'm shoka, a software engineer in Shizuoka, Japan. I build tools that connect vehicle data and AI, and contribute focused documentation improvements to open source.

静岡を拠点に、自動車 × AIのツール開発と、OSSのドキュメント改善に取り組んでいます。

What I'm building

obd2-mcp — TypeScript MCP server for vehicle data. Try the mock vehicle without hardware. automotive-ai-skills — 16 automotive AI workflows with English and Japanese documentation.

obd2-mcp connects MCP clients to OBD-II trouble codes, live sensors, and freeze-frame data. The included mock vehicle lets you try the tools without a car or adapter.

automotive-ai-skills provides 16 structured AI workflows for diagnostics, maintenance, used-car inspection, and more, with English and Japanese documentation.

See it work

The reproducible mock demo reads a stored P0420, its freeze frame, and current sensor values. It includes observed program output and a script you can run without an AI subscription. All data in that demo is simulated.

→ Run the demo / 実行結果と試し方

Open-source contributions

I work on small, verifiable improvements: understanding the issue, checking for existing work, and validating the change.

Project Contribution Status checked 2026-10-29
VS Code documentation Corrected wording in the settings UX guidelines — #10552 Merged
pytest Documented platform-conditional warning filters, with a tested example — #15274 Open PR · not yet merged

These are individual contributions, not maintainer roles. See the linked PRs for current status, validation details, and disclosed AI assistance.

All VS Code docs PRs · All pytest PRs

Follow the work · Support the projects

Follow @shoka-jp for automotive AI tools, practical examples, and open-source improvements. Tried a project? Reproducible feedback, documentation fixes, and translations are welcome.

If the projects are useful to you, sponsor my open-source work. Support helps me work on maintenance, examples, and clearer documentation. Read about the projects you support →

日本語

  • 作っているもの: obd2-mcpで車両データをAIにつなぎ、automotive-ai-skillsで診断・整備・中古車チェックなどの対話を整理しています。
  • OSSへの貢献: VS Codeの設定ガイド修正はマージ済み。pytestには、条件付き警告フィルターの説明を提案しています(2026-10-29確認、未マージ)。
  • まず試す: 車・アダプタ・AIの契約なしで試せるモックデモ。実車を扱う前に、各プロジェクトの安全上の注意と制約も確認してください。
  • 活動を応援: フォロー、使ってみた感想、翻訳・説明の修正を歓迎します。スポンサーによるご支援も受け付けています。

Qiitaの技術メモ

Pinned Loading

  1. obd2-mcp obd2-mcp Public

    MCP server: let AI assistants read your car via ELM327 - DTCs, live data, freeze frame, VIN. Mock vehicle included, no hardware needed.

    TypeScript 2

  2. automotive-ai-skills automotive-ai-skills Public

    AI skills for car diagnostics, maintenance, repair & EVs — for beginners and pro mechanics | 自動車の故障診断・整備・車検・カスタムをAIで支援するオープンソーススキル集

    HTML 1

  3. PostOne-docs PostOne-docs Public

    Post once. Publish everywhere. — 複数プラットフォーム (X / Threads / Instagram / note) への同時投稿・予約・結果管理を一元化する日本向け SNS 投稿管理サービス PostOne の公開ドキュメント

  4. SellOne-docs SellOne-docs Public

    SellOne のユーザー向けドキュメント — 出品準備を、最短で。フリマ・オークション出品を効率化する Windows デスクトップアプリ