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tavily

Execute multi-source web searches and generate structured research reports.

12|4|Updated Feb 12, 2026
Search Tags:#research#web-search#data-extraction#crawl#information-retrieval#tavily#structured-report
One-click install
npx skills add https://github.com/orthogonal-sh/skills --skill tavily-orthogonal-sh
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: tavily
Source: https://github.com/orthogonal-sh/skills/tree/main/skills/orthogonal-tavily
Command: npx skills add https://github.com/orthogonal-sh/skills --skill tavily-orthogonal-sh

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Tavily automates broad, multi-source web research, crawling and content extraction to produce structured insights, saving time and improving discovery quality.

Core Features & Use Cases

  • Tavily Search: Execute comprehensive searches across sources to gather diverse results.
  • Get Research Task Status: Check progress and retrieve results for ongoing research tasks.
  • Create Research Task: Automate end-to-end research by running multi-source queries, analyzing sources, and generating a detailed report.
  • Tavily Extract: Pull content from specified URLs for extraction and summarization.
  • Tavily Map: Build site maps by traversing websites with parallel discovery and extraction.
  • Tavily Crawl: Graph-based crawling with on-demand extraction and intelligent discovery.

Quick Start

Ask Tavily to perform a topic-wide web search and generate a comprehensive research report.

Frequently Asked Questions about tavily

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

FAQPage Schema
How do I automate multi-source web research and generate a structured report?▼

Automated web research is performed by submitting a query to trigger searches, aggregate sources, and produce a structured report. You can configure depth, breadth, and an output schema to define the final report structure.

What is graph-based crawling and how does it extract content from websites?▼

Graph-based crawling traverses websites using parallel discovery and on-demand content extraction. It maps site structures and pulls data from specified URLs to extract and summarize content.

Can I pull and summarize content directly from specific URLs?▼

Yes, you can pull content directly from specified URLs for extraction and summarization. This targets individual pages to extract specific data without executing broad multi-source searches.

How do I check the progress of an ongoing research task?▼

You can check the progress of an ongoing research task by requesting its current status. This monitors multi-source query execution and retrieves the final structured results once the analysis completes.

What is the best way to build a site map using parallel discovery?▼

Building a site map is done by traversing websites with parallel discovery and extraction. This systematically discovers links and extracts content to map the overall site structure efficiently.

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