- Ignition: first start: 0/5
- Chassis: car + fuel: 0/4
- Lift and diagnostics: 0/3
- Fuel system: model gateway: 0/5
- Navigator: task route: 0/5
- Glovebox: context and memory: 0/4
- Rain sensor and wipers: pipeline: 0/5
- Hitch and roof rack: MCP, Hooks, Skills: 0/6 — now
- Convoy: subagents and orchestration: 0/6
- Road atlas: AI notebook: 0/5
- Dyno: engine tuning: 0/5
- Onboard computer: second brain: 0/5
You're building: Hitch and roof rack: MCP, Hooks, Skills
💡 MCP is an open standard. This module shows MCP/Hooks/Skills via Claude Code. MCP servers are also supported by Codex, Hermes, goose, OpenCode, nanobot, and CheetahClaws. Hooks and Skills are shown in Claude Code's format — other stacks have their own equivalents (see module 03).
Picture a moment when Claude Code stalled mid-task — the right service was right there, but the agent couldn't reach it.
Don't picture this as a bug or a limitation. Picture a craftsman at the workbench: tool belt buckled, but the right socket isn't in the pouch. Hand reaches into an empty slot, work stops. Run it in your head: what exactly was in that empty pocket?
Which tool would you slide in there first?
Getting it wrong is fine: it is part of learning. Guessing first helps the answer stick later, and the answer itself comes after the explanation.
Copy your personal prompt and paste it into your agent's learn mode — it picks up your context and takes you forward.
Honestly: with AI it feels like you can do more than you can without it. After practice, check yourself without AI. (Bastani et al., PNAS 2025)
Explains the material using the course method.