tavily

Plan and execute web search, content extraction, and research tasks using Tavily tools.

Updated Apr 8, 2026
One-click install
npx skills add https://github.com/Jnuso/OpenClaw --skill tavily-jnuso
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: tavily
Source: https://github.com/Jnuso/OpenClaw/tree/main/extensions/tavily/skills/tavily
Command: npx skills add https://github.com/Jnuso/OpenClaw --skill tavily-jnuso

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Tavily enables researchers and information workers to rapidly search the web, extract relevant content, and organize findings for faster decision-making.

Core Features & Use Cases

  • Web search: perform quick queries and retrieve relevant results with quality signals.
  • Content extraction: fetch and cleanly extract text from URLs, including long-form content.
  • Research workflows: assemble findings from multiple sources, summarize results, and prepare briefs.

Quick Start

Ask Tavily to search for a topic and extract the most relevant content for review.

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 research tasks?

Automating web search and content extraction involves using tools to plan queries, fetch URLs, and extract clean text. This approach coordinates web_search and extraction steps to return structured summaries or markdown for faster research workflows.

Can I extract long-form content from specific URLs into structured summaries?

Yes, targeted content extraction from URLs fetches and cleanly extracts text from long-form pages. By processing specific URLs, the system produces structured summaries or markdown data suitable for organizing findings and preparing research briefs.

What's the best way to gather information from multiple sources and summarize results?

The best way to gather information from multiple sources is executing a research workflow that assembles findings from various web searches. This coordinates multiple inputs, extracts relevant content, and summarizes results into clean briefs for faster decision-making.

Does advanced web search support filters for more targeted information gathering?

Advanced web search supports applying filters to queries for more targeted information gathering. This allows users to perform quality-signal searches beyond quick general queries, refining results to extract the most relevant content for review.

How do I handle multiple inputs when extracting content from web pages?

Handling multiple inputs during content extraction requires a system that coordinates web_search and tavily_extract steps across various URLs. This processes multiple pages simultaneously, returning clean markdown or structured data for organized research.