Tavily AI Research技能：自动化网络研究工具，快速生成带引用报告

research by tavily-ai/skills

6,500 周安装量

132 GitHub Stars

GitHub

安装命令

npx skills add https://github.com/tavily-ai/skills --skill research

AI/机器学习数据分析生产力

🇨🇳中文介绍

研究技能

通过自动收集来源、分析和生成带引用的回答，对任何主题进行全面研究。

身份验证

该脚本通过 Tavily MCP 服务器使用 OAuth 进行身份验证。无需手动设置 - 首次运行时，它将：

检查 ~/.mcp-auth/ 中是否存在现有令牌
如果未找到，将自动打开浏览器进行 OAuth 身份验证

注意： 您必须拥有现有的 Tavily 账户。OAuth 流程仅支持登录 - 不支持通过此流程创建账户。如果您没有账户，请先在 tavily.com 上注册。

替代方案：API 密钥

如果您更喜欢使用 API 密钥，请在 https://tavily.com 获取一个，并添加到 ~/.claude/settings.json 中：

{
  "env": {
    "TAVILY_API_KEY": "tvly-your-api-key-here"
  }
}

快速开始

提示： 研究可能需要 30-120 秒。按 Ctrl+B 在后台运行。

使用脚本

./scripts/research.sh '<json>' [output_file]

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字段	类型	默认值	描述
`input`	string	必填	研究主题或问题
`model`	string	`"mini"`	模型：`mini`、`pro`、`auto`

模型	使用场景	速度
`mini`	单一主题，定向研究	~30秒
`pro`	多角度综合分析	~60-120秒
`auto`	API 根据复杂性自动选择	视情况而定

🇺🇸English

Research Skill

Conduct comprehensive research on any topic with automatic source gathering, analysis, and response generation with citations.

Authentication

The script uses OAuth via the Tavily MCP server. No manual setup required - on first run, it will:

Check for existing tokens in ~/.mcp-auth/
If none found, automatically open your browser for OAuth authentication

Note: You must have an existing Tavily account. The OAuth flow only supports login — account creation is not available through this flow. Sign up at tavily.com first if you don't have an account.

Alternative: API Key

If you prefer using an API key, get one at https://tavily.com and add to ~/.claude/settings.json:

{
  "env": {
    "TAVILY_API_KEY": "tvly-your-api-key-here"
  }
}

Quick Start

Tip : Research can take 30-120 seconds. Press Ctrl+B to run in the background.

Using the Script

./scripts/research.sh '<json>' [output_file]

Examples:

# Basic research
./scripts/research.sh '{"input": "quantum computing trends"}'

# With pro model for comprehensive analysis
./scripts/research.sh '{"input": "AI agents comparison", "model": "pro"}'

# Save to file
./scripts/research.sh '{"input": "market analysis for EVs", "model": "pro"}' ./ev-report.md

# Quick targeted research
./scripts/research.sh '{"input": "climate change impacts", "model": "mini"}'

Parameters

Field	Type	Default	Description
`input`	string	Required	Research topic or question
`model`	string	`"mini"`	Model: `mini`, `pro`, `auto`

Model Selection

Rule of thumb : "what does X do?" -> mini. "X vs Y vs Z" or "best way to..." -> pro.

Model	Use Case	Speed
`mini`	Single topic, targeted research	~30s
`pro`	Comprehensive multi-angle analysis	~60-120s
`auto`	API chooses based on complexity	Varies

Examples

Quick Overview

./scripts/research.sh '{"input": "What is retrieval augmented generation?", "model": "mini"}'

Technical Comparison

./scripts/research.sh '{"input": "LangGraph vs CrewAI for multi-agent systems", "model": "pro"}'

Market Research

./scripts/research.sh '{"input": "Fintech startup landscape 2025", "model": "pro"}' fintech-report.md

Weekly Installs

6.5K

Repository

tavily-ai/skills

GitHub Stars

132

First Seen

Jan 25, 2026

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