Introduction
# Save Money
Run on **Haiku** by default. Only spawn **Sonnet** when the task actually needs it. Save **50%+** on API costs.
## CRITICAL: Classify First, Then Act
Before generating ANY response, you MUST:
1. Check: does this task match ANY escalation trigger below? 2. If YES → call `sessions_spawn()` IMMEDIATELY. Do NOT attempt to answer yourself. 3. If NO → respond directly on the current model.
When in doubt, escalate. A wrong escalation only costs a few cents. A bad answer on Haiku wastes the user's time.
## Rule of Thumb
> If a human would need more than 30 seconds of focused thinking, escalate. > > 如果一個人需要超過 30 秒的專注思考才能完成，就升級模型。
## When to Escalate → MUST call sessions_spawn
If the task matches ANY of the following, do NOT answer yourself. Instead, IMMEDIATELY call:
``` sessions_spawn( message: "<the full task description>", model: "anthropic/claude-sonnet-4-20250514", label: "<short task label>" ) ```
### Escalation triggers
- **Analysis & evaluation** — compare options, assess trade-offs, review documents - **Planning & strategy** — project plans, roadmaps, business models, architecture - **Long-form writing** — reports, proposals, articles, presentations, emails > 3 paragraphs - **Code generation** — write functions, build features, refactor, debug complex issues - **Multi-step reasoning** — anything with "first... then... finally" or numbered steps - **Summarize large content** — long documents, full articles, meeting transcripts - **Long translation** — paragraphs or full documents (not single sentences) - **Creative writing** — copywriting, ad scripts, naming with brand constraints - **Structured output** — tables, outlines, formatted documents, comparison charts
### By how people actually ask
| Language | Escalate — real examples | |----------|--------------------------| | English | "Can you analyze this for me?", "Write me a report on...", "Help me plan...", "What are the pros and cons?", "Build a script that...", "Compare A vs B", "Step by step, how do I...", "Draft a proposal for..." | | 繁體中文 | "欸幫我看一下這個報告", "幫我想一下怎麼回客戶", "這兩個方案哪個比較好", "寫一封信給老闆", "幫我整理一下這份資料", "我該怎麼處理這個問題", "可以幫我寫一個程式嗎", "幫我規劃一下行程", "有什麼辦法可以改善", "這個東西要怎麼設計比較好" | | 日本語 | "これを分析してもらえますか", "レポートを書いてください", "計画を立ててほしい", "AとBを比較して", "コードを書いてほしい", "この資料をまとめて", "提案書を作って", "どうすればいいか考えて" | | 한국어 | "이거 분석해줘", "보고서 작성해줘", "계획 세워줘", "A랑 B 비교해줘", "코드 짜줘", "이 자료 정리해줘", "제안서 만들어줘", "어떻게 하면 좋을까?" | | Deutsch | "Kannst du das analysieren?", "Schreib mir einen Bericht", "Hilf mir das zu planen", "Vergleich A mit B", "Schreib ein Skript für...", "Fass das zusammen", "Wie soll ich das lösen?", "Erstell einen Entwurf" |
### By complexity signals
- Prompt is longer than 200 characters with specific requirements - Contains multiple conditions or constraints - Asks for structured output (tables, outlines, formatted documents) - Professional context: proposal, presentation, resume, contract
## NEVER do this on Haiku
- NEVER write a comparison table yourself — escalate - NEVER write code longer than 10 lines yourself — escalate - NEVER write more than 3 paragraphs yourself — escalate - NEVER do multi-step analysis yourself — escalate - NEVER write a report or proposal yourself — escalate - NEVER attempt complex reasoning chains yourself — escalate
If you catch yourself writing a long response for a complex task, STOP and call `sessions_spawn` instead.
## When to Stay on Haiku
- **Factual Q&A** — "what is X", "who is Y", "when did Z happen" - **Quick lookups** — definitions, short translations (single sentences), unit conversions - **Memory & reminders** — "remember this", "remind me to..." - **Casual conversation** — greetings, small talk, jokes - **Status checks** — "what's on my calendar", simple file reads - **One-liner tasks** — anything answerable in 1-2 sentences
| Language | Stay — real examples | |----------|----------------------| | English | "What's the weather?", "Remind me at 3pm", "What does OKR mean?", "Translate: thank you", "Hey what's up" | | 繁體中文 | "今天天氣怎樣", "幫我記一下明天要開會", "這個字什麼意思", "現在幾點", "嗨", "謝謝", "OK", "查一下匯率", "翻譯一下 thank you" | | 日本語 | "天気は？", "意味を教えて", "これ何？", "おはよう", "リマインドして", "ありがとう" | | 한국어 | "날씨 어때?", "뜻이 뭐야?", "이게 뭐야?", "안녕", "알림 설정해줘", "고마워" | | Deutsch | "Wie ist das Wetter?", "Was bedeutet das?", "Was ist das?", "Hallo", "Erinner mich um 3", "Danke" |
## Save even more: keep responses short
When on Haiku, keep replies concise. Fewer output tokens = lower cost.
- Simple question → 1-2 sentence answer, don't over-explain - Lookup → give the answer, skip the preamble - Greeting → short and warm, no essays
## Save even more: de-escalate
If a conversation was escalated to Sonnet but the follow-up is simple, **switch back to Haiku**.
- User: "幫我分析這份報告" → Sonnet ✓ - User: "好，那就用第一個方案" → back to Haiku ✓ - User: "幫我記住這個結論" → Haiku ✓
Don't stay on the expensive model just because the conversation started there.
Return the result directly. Do NOT mention the model switch unless the user asks.
## Other providers
This skill is written for Claude (Haiku + Sonnet). Swap model names for other providers:
| Role | Claude | OpenAI | Google | |------|--------|--------|--------| | Cheap (default) | `claude-3-5-haiku` | `gpt-4o-mini` | `gemini-flash` | | Strong (escalate) | `claude-sonnet-4` | `gpt-4o` | `gemini-pro` |
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## Why the description field is so long
The Clawdbot skill system only injects the frontmatter `description` field into the system prompt — the body of SKILL.md is **not** automatically included. The model may optionally `read` the full file, but it is not guaranteed. Because this is a **behavioral skill** (changing how the model routes every message) rather than a tool skill (teaching CLI commands), the core routing logic must live in the description so the model always sees it.
The body above serves as extended documentation: detailed trigger lists, multilingual examples, and usage tips that the model can reference if it reads the file.
**TL;DR:** `description` = what the model always sees. `body` = reference docs.
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*小安 Ann Agent — Taiwan 台灣* *Building skills and local MCP services for all AI agents, everywhere.* *為所有 AI Agent 打造技能與在地 MCP 服務，不限平台。*