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tavily

Search the web and extract structured content from URLs with configurable parameters.

2|Updated Mar 15, 2026
Search Tags:#research#web-search#tavily#content-extraction#ai-assisted-research#domain-filtering
One-click install
npx skills add https://github.com/AG064/argentum --skill tavily-ag064
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: tavily
Source: https://github.com/AG064/argentum/tree/main/extensions/tavily/skills/tavily
Command: npx skills add https://github.com/AG064/argentum --skill tavily-ag064

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Tavily solves the time sink of researching online by providing fast web search, targeted content extraction, and structured research tools.

Core Features & Use Cases

  • Web search: Quick, comprehensive searches across topics to surface relevant sources.
  • Content extraction: Extracts and cleans content from URLs, returning structured passages or markdown-ready text.
  • Research workflows: Build literature reviews, market scans, or competitive analyses with organized source material.
  • Use Case: Compile a set of sources and key passages for a literature review or briefing.

Quick Start

Ask Tavily to search for your topic, extract relevant passages from top results, and summarize key findings.

Frequently Asked Questions about tavily

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

FAQPage Schema
How do I extract specific content from web pages for a literature review?▼

Content extraction pulls and cleans targeted passages from URLs, returning structured markdown-ready text. You can use the tavily_extract mode with extract_depth and chunks_per_source parameters to compile key passages for literature reviews.

What is the best way to filter web search results by specific domains?▼

Domain filtering restricts web search results to specified sources. You can apply include_domains or exclude_domains parameters alongside query and search_depth to scope results for competitive analysis or academic inquiry.

Can I control the depth and time range of AI-assisted web research?▼

AI-assisted research supports configurable depth and time ranges. You can set search_depth, max_results, and time_range parameters across web_search and tavily_search modes to control scope across market scanning workflows.

How do I gather information from multiple sources for market analysis?▼

Web search and content extraction gather information from multiple sources for market analysis. You can configure topic, max_results, and include_domains parameters to surface relevant sources and return structured passages.

Does web content extraction work with markdown formatting for research workflows?▼

Web content extraction works with markdown formatting by cleaning URLs and returning markdown-ready text. You can use extract_depth and include_images parameters to control extraction scope for research workflows.

What are the limitations of domain filtering when scanning competitive sources?▼

Domain filtering limitations depend on source accessibility and query specificity. When scanning competitive sources, exclude_domains and time_range parameters help refine results, but extract_depth and max_results control the actual volume returned.

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