mdgs-tavily-search-skill

使用 Tavily API 进行网络搜索、网页内容提取、抓取、映射和研究。当用户需要搜索信息、获取网页内容、从网站抓取数据、绘制网站地图或进行深度研究时使用此技能。AI 应根据任务自动选择最合适的模式。

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Install skill "mdgs-tavily-search-skill" with this command: npx skills add 343195246/mdgs-tavily-search-skill

Mdgs Tavily Search Skill

使用 Tavily API 进行网络搜索和信息提取。

快速开始

前置要求

首先安装依赖:

npm install @tavily/core

设置 API Key:

export TAVILY_API_KEY="tvly-your-api-key"

初始化客户端

const { tavily } = require("@tavily/core");

const apiKey = process.env.TAVILY_API_KEY;
if (!apiKey) {
  throw new Error("请配置 TAVILY_API_KEY 环境变量。访问 https://tavily.com 获取 API Key");
}

const tvly = tavily({ apiKey });

模式选择指南

AI 应根据任务类型自动选择合适的模式:

任务类型推荐模式说明
快速问答、信息检索search获取搜索结果和答案
获取特定网页内容extract提取单个 URL 的主要内容
批量抓取网站内容crawl抓取整个网站或多个页面
了解网站结构map获取网站的页面地图
深度研究主题research综合多个来源的深度研究

模式详解

1. 搜索网页 (search)

适用于:快速问答、信息检索、新闻搜索

const response = await tvly.search("Who is Leo Messi?");
console.log(response);

选项:

const response = await tvly.search("Python 教程", {
  searchDepth: "basic", // "basic" 或 "advanced"
  maxResults: 10,
  includeAnswer: true,
  includeRawContent: false,
  includeImages: false
});

2. 提取网页 (extract)

适用于:获取特定网页的详细内容

const response = await tvly.extract("https://en.wikipedia.org/wiki/Artificial_intelligence");
console.log(response);

选项:

const response = await tvly.extract("https://example.com", {
  includeImages: true
});

3. 抓取网页 (crawl)

适用于:批量抓取网站内容、深度内容获取

const response = await tvly.crawl("https://docs.tavily.com", { 
  instructions: "Find all pages on the Python SDK" 
});
console.log(response);

选项:

const response = await tvly.crawl("https://example.com", {
  instructions: "提取所有产品页面",
  maxDepth: 2,
  maxPages: 10
});

4. 绘制网页映射 (map)

适用于:了解网站结构、发现相关页面

const response = await tvly.map("https://docs.tavily.com");
console.log(response);

选项:

const response = await tvly.map("https://example.com", {
  depth: 2,
  maxPages: 20
});

5. 创建研究任务 (research)

适用于:深度研究、综合多来源分析

const response = await tvly.research("What are the latest developments in AI?");
console.log(response);

选项:

const response = await tvly.research("最新 AI 发展动态", {
  depth: "extensive", // "basic" 或 "extensive"
  maxSources: 10
});

使用脚本

项目提供了封装好的脚本:

搜索

node scripts/tavily.js search "搜索内容" [--depth basic|advanced] [--max-results N]

提取

node scripts/tavily.js extract "https://example.com"

抓取

node scripts/tavily.js crawl "https://example.com" --instructions "提取所有页面"

映射

node scripts/tavily.js map "https://example.com" [--depth N]

研究

node scripts/tavily.js research "研究主题" [--depth basic|extensive]

API Key 配置

重要: 使用此技能前必须配置 API Key。

  1. 访问 tavily.com 注册账号
  2. 获取 API Key
  3. 设置环境变量:
    export TAVILY_API_KEY="tvly-your-actual-api-key"
    

或在脚本/代码中直接传入:

const tvly = tavily({ apiKey: "tvly-your-actual-api-key" });

响应格式

search response

{
  "answer": "回答文本",
  "results": [{ "title": "", "url": "", "content": "", "score": 0.95 }],
  "images": []
}

extract response

{
  "results": [{ "url": "", "content": "", "raw_content": "" }]
}

crawl response

{
  "results": [{ "url": "", "content": "" }]
}

map response

{
  "results": [{ "url": "", "title": "" }]
}

research response

{
  "answer": "综合研究报告",
  "findings": [{ "content": "", "sources": [] }]
}

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