秒秒AI助理
调用秒秒AI多能力智能体，支持聊天、天气、新闻、快递、图像生成、搜索、总结、图表、地图、车票查询等功能。Invoke when user needs AI assistant with multiple practical functions or mentions related keywords.
Best use case
秒秒AI助理 is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
调用秒秒AI多能力智能体，支持聊天、天气、新闻、快递、图像生成、搜索、总结、图表、地图、车票查询等功能。Invoke when user needs AI assistant with multiple practical functions or mentions related keywords.
Teams using 秒秒AI助理 should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/miaomiao-ai/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How 秒秒AI助理 Compares
| Feature / Agent | 秒秒AI助理 | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
调用秒秒AI多能力智能体，支持聊天、天气、新闻、快递、图像生成、搜索、总结、图表、地图、车票查询等功能。Invoke when user needs AI assistant with multiple practical functions or mentions related keywords.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
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SKILL.md Source
# 秒秒AI助理 多能力智能体技能
## 功能说明
本技能提供丰富的AI能力集合，通过意图识别自动触发对应功能：
- 智能聊天对话
- 天气查询
- 新闻早报
- 快递查询
- 图像生成
- 网页搜索
- 内容总结
- 可视化图表生成
- 地图查询
- 12306车票查询
## 配置要求
1. 在项目根目录创建`.env`文件
2. 配置以下环境变量：
- `LINKAI_API_KEY`: 你的Link-AI API密钥
## 使用方法
当用户需要以下服务时自动调用本技能：
- 普通聊天对话
- 查询天气
- 获取新闻资讯
- 查询快递进度
- 生成图片
- 搜索网页内容
- 总结长文本/文档
- 生成数据图表
- 查询地点/路线
- 查询火车票信息
## 调用示例
```python
import os
import http.client
import json
from dotenv import load_dotenv
load_dotenv()
conn = http.client.HTTPSConnection("api.link-ai.tech")
payload = json.dumps({
"app_code": os.getenv("LINKAI_APP_CODE"),
"messages": [
{
"role": "user",
"content": "查询北京今天天气"
}
]
})
headers = {
'Authorization': f'Bearer {os.getenv("LINKAI_API_KEY")}',
'Content-Type': 'application/json'
}
conn.request("POST", "/v1/chat/completions", payload, headers)
res = conn.getresponse()
data = res.read()
print(data.decode("utf-8"))
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