research
This skill conducts comprehensive research, automatically collecting and analyzing sources, and generating cited responses to help users deeply explore any topic.
npx skills add tavily-ai/skills --skill researchBefore / After Comparison
1 组When conducting comprehensive research, manually collecting and analyzing sources is extremely time-consuming, making it difficult to generate high-quality responses with citations, leading to low research efficiency.
The skill automates the collection and analysis of sources and generates responses with citations, helping users deeply explore any topic and significantly improving research efficiency.
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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