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Integrations

Ready-to-use templates for wiring these skills into AI platforms.

File Use with What it gives you
Claude Code plugin Claude Code /plugin marketplace add shoka-jp/automotive-ai-skills → all 20 skills install natively (SKILL.md per skill) and auto-trigger
codex.md OpenAI Codex AGENTS.md auto-load in-repo, global setup, or one slash command per skill
claude-project-template.md Claude Projects, Custom GPTs, or any system-prompt slot A single-skill dedicated assistant, step by step
garage-assistant-system-prompt.md Any assistant with a system prompt One combined "garage assistant" that routes between all skills
skill.yaml files (one per skill folder) Agent frameworks, RAG pipelines, skill registries Machine-readable skill metadata: name, summary, tags, languages, related skills

Which approach to pick

  • Just chatting? You don't need any of this — copy an example prompt from a skill's README and go.
  • Repeated use of one skill (e.g., you're mid-restoration and consult the Classic Car Restorer weekly): use the Claude Project template with that one skill.
  • General-purpose garage helper for a household or shop: use the combined system prompt.
  • Building software (an agent, a RAG bot, a fleet tool): load the skill.yaml metadata for routing, and the README content as the knowledge payload. All files are MIT-licensed.

Notes for developers

  • skill.yaml schema is documented in the Skill Authoring Guide.
  • Each skill's Limitations section is the safety-relevant part — if you compress skill content to fit a context budget, keep Limitations intact.
  • Japanese content (README.ja.md, docs/ja/) lets you build a Japanese-first assistant with the same structure.