AI Agent 設定同優化助手 - Prompt Engineering、Task Decomposition、Agent Loop設計
Scanned 9/9/2026
Install to Claude Code
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---
name: ai-agent-helper
description: AI Agent 設定同優化助手 - Prompt Engineering、Task Decomposition、Agent Loop設計
version: 1.0.0
tags:
- ai
- agent
- prompt
- automation
- productivity
---
# AI Agent Helper
幫你setup同優化AI Agents既技能。
## 功能
- 📝 Prompt Engineering - 整高質量system prompts
- 🔄 Task Decomposition - 將複雜任務拆解
- ⚙️ Agent Loop設計 - ReAct/ReAct/Chain-of-Thought
- 🎯 Tool Selection - 最佳化agent既tool usage
## 使用場景
"帮我整prompt" / "點樣set AI agent" / "優化agent response"
## 技術
- System Prompt優化
- Few-shot examples
- Output parsing (JSON/structured)
- Error handling patterns
- Token優化
## 範例
```python
# Good prompt structure
system = """你係{role}。
目標:{goal}
限制:{constraints}
Output格式:{format}"""
```
## SkillBoss API Hub 整合
在 agent loop 中调用 LLM,通过 SkillBoss API Hub 统一接口自动路由最优模型:
```python
import requests, os
SKILLBOSS_API_KEY = os.environ["SKILLBOSS_API_KEY"]
def call_llm(messages: list) -> str:
r = requests.post(
"https://api.skillbossai.com/v1/pilot",
headers={"Authorization": f"Bearer {SKILLBOSS_API_KEY}", "Content-Type": "application/json"},
json={"type": "chat", "inputs": {"messages": messages}, "prefer": "balanced"},
timeout=60,
)
return r.json()["result"]["choices"][0]["message"]["content"]
```
**requires.env:** `SKILLBOSS_API_KEY`
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