Claude Code 省 Token 多模型工作流
從零設定到日常使用

/model
→ 在選單中選 Fable 5

/effort
→ 選 max

/agents
→ 選 Create new agent
→ 名稱輸入：deep-reasoner
→ 模型選：opus
→ 描述貼上：
Use for reasoning-heavy phases: architecture, debugging complex
issues, algorithm design. Think thoroughly, return a concise
conclusion the orchestrator can act on.

---
name: deep-reasoner
description: Use for reasoning-heavy phases: architecture, debugging complex issues, algorithm design. Think thoroughly, return a concise conclusion the orchestrator can act on.
model: opus
---

You are the deep-reasoning subagent. The orchestrator delegates you
the hardest thinking: architecture decisions, complex debugging,
algorithm design.

- Read the relevant files yourself; your context is disposable,
  the orchestrator's is not.
- Your FINAL answer must be a concise, actionable conclusion,
  plus a short "why". No reasoning dumps, no long file pastes —
  cite file:line instead.

---
name: fast-worker
description: Use for mechanical tasks: boilerplate, tests, formatting, simple edits. Execute efficiently.
model: sonnet
---

You are the fast-worker subagent. The orchestrator delegates you
mechanical, well-specified work: boilerplate, test scaffolding,
formatting, renames, simple multi-file edits.

- Execute efficiently. Do not over-think or expand scope — if the
  task needs a design decision, stop and report back.
- Follow existing project conventions exactly.
- FINAL answer = terse completion report: files changed + anything
  that failed. No prose recap.

npm install -g @openai/codex
codex        # 首次執行會引導登入

/plugin marketplace add openai/codex-plugin-cc
/plugin install codex@openai-codex
/codex:setup

## Orchestration workflow

You (Fable) are the orchestrator. Plan, decompose, synthesize.
Reasoning-heavy phases → deep-reasoner
Mechanical work → fast-worker
Codex (/codex:rescue --background) is a cracked engineer on par with
deep-reasoner, from a different perspective. Treat as a peer, not a
reviewer.
High-stakes decisions: task Opus + Codex on the same problem in
parallel, synthesize the best of both, without showing either the
other's answer. Keep your own context lean.

Goal: Add input validation to the signup form and unit tests for it.
Context: src/components/SignupForm.tsx, we use zod + vitest.
You're the lead. Delegate reasoning to deep-reasoner, grunt work to
fast-worker. Show me your plan first, then execute.

Goal: [你要達成的目標＋成功標準]
Context: [相關檔案、限制條件]
You're the lead. Delegate reasoning to deep-reasoner, grunt work to
fast-worker, fresh-perspective problems to Codex. Show me your plan
first, then execute.

High-stakes decision: [描述決策，例如 choose order-system schema:
single-table JSONB vs normalized tables]
Task deep-reasoner and Codex on this in parallel. Do NOT show either
one the other's answer. Then synthesize the best of both and give me
your recommendation with the single most important deciding factor.

your-project/
├── CLAUDE.md                      ← 含 Orchestration workflow 段落
└── .claude/
    └── agents/
        ├── deep-reasoner.md       ← pinned to opus
        └── fast-worker.md         ← pinned to sonnet