tavily

Automates web search, content extraction, and synthesis for researchers.

1|Updated Mar 6, 2026
One-click install
npx skills add https://github.com/zhcndoc/openclaw --skill tavily-zhcndoc
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: tavily
Source: https://github.com/zhcndoc/openclaw/tree/main/extensions/tavily/skills/tavily
Command: npx skills add https://github.com/zhcndoc/openclaw --skill tavily-zhcndoc

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Tavily helps researchers speed up web search, content extraction, and synthesis by centralizing powerful tools for efficient research workflows.

Core Features & Use Cases

  • Web search automation with quick results
  • Deep search with advanced options and domain filters
  • Content extraction and summarization from URLs for literature reviews
  • Use Case: Imagine compiling sources for a literature review and extracting key quotes and data

Quick Start

Ask Tavily to perform a targeted web search, extract relevant content from sources, and summarize findings.

Frequently Asked Questions about tavily

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate web search and content extraction for a literature review?

Automating web search and content extraction for a literature review involves using targeted search parameters and URL extraction to gather and synthesize key quotes and data from relevant sources quickly.

Can I filter web search results by time range and domain?

Yes, web search results can be filtered by time range and domain. Deep search configurations support advanced options, allowing you to restrict queries to specific domains and target recent publications.

What is the best way to extract and summarize content from specific URLs?

The best way to extract and summarize content from specific URLs is to use content extraction functions that directly process the provided links, summarizing the findings into key data points.

Does Tavily support deep search with advanced parameters for competitive analysis?

Tavily supports deep search with advanced parameters for competitive analysis. You can configure search depth, time ranges, and domain filters to retrieve highly focused information for your research.

What are the limitations of using automated search synthesis for topic summarization?

Limitations of automated search synthesis for topic summarization include relying strictly on the extracted web content and search depth parameters, which may miss paywalled literature or require manual verification.