R

research

by @tavily-aiv
4.5(263)

此技能用于进行综合性研究,自动收集、分析来源并生成带引用的响应,帮助用户深入探索任何主题。

Data ResearchInformation RetrievalWeb ScrapingData AnalysisAcademic ResearchGitHub
安装方式
npx skills add tavily-ai/skills --skill research
compare_arrows

Before / After 效果对比

1
使用前

进行综合性研究时,手动收集和分析来源耗时巨大,难以生成带引用的高质量响应,研究效率低下。

使用后

技能自动化收集、分析来源并生成带引用的响应,帮助用户深度探索任何主题,显著提升研究效率。

description SKILL.md

research

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 Installs6.5KRepositorytavily-ai/skillsGitHub Stars95First SeenJan 25, 2026Security AuditsGen Agent Trust HubWarnSocketPassSnykWarnInstalled onopencode5.9Kgemini-cli5.8Kcodex5.8Kgithub-copilot5.6Kkimi-cli5.5Kamp5.5K

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统计数据

安装量6.6K
评分4.5 / 5.0
版本
更新日期2026年4月27日
对比案例1 组

用户评分

4.5(263)
5
27%
4
51%
3
20%
2
2%
1
0%

为此 Skill 评分

0.0

兼容平台

🔧Claude Code
🔧OpenClaw
🔧OpenCode
🔧Codex
🔧Gemini CLI
🔧GitHub Copilot
🔧Amp
🔧Kimi CLI

时间线

创建2026年3月17日
最后更新2026年4月27日
🎁 Agent 知识卡片