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tavily-search

Perform ranked web searches with summaries and citations, and extract cleaned page text from URLs.

186|56|Updated Aug 13, 2025
Search Tags:#summarization#citation#news#web-search#tavily#content-extraction
One-click install
npx skills add https://github.com/aws-samples/sample-strands-agent-with-agentcore --skill tavily-search-aws-samples
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: tavily-search
Source: https://github.com/aws-samples/sample-strands-agent-with-agentcore/tree/main/chatbot-app/agentcore/skills/tavily-search
Command: npx skills add https://github.com/aws-samples/sample-strands-agent-with-agentcore --skill tavily-search-aws-samples

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Tavily-search eliminates time-consuming manual web sifting by delivering AI-curated search results and by converting web pages into clean, readable content ready for analysis or citation.

Core Features & Use Cases

  • AI-powered search: Use tavily_search(query, search_depth, topic) to retrieve ranked, summarized results tailored to quick lookups or deep research.
  • Content extraction: Use tavily_extract(urls, extract_depth) to pull full, cleaned page text from one or more URLs for archival, analysis, or quoting.
  • Use Case: A journalist or researcher can run an advanced topical search for recent developments, get summarized source snippets with citations, and extract the full text of the most relevant articles for reporting or literature review.

Quick Start

Use tavily_search to find recent research and news on lithium-ion battery recycling with search_depth set to advanced, then extract the top two article pages using tavily_extract.

Frequently Asked Questions about tavily-search

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

FAQPage Schema
How do I extract readable content from web pages for research analysis?▼

Web page content extraction pulls full, cleaned text from URLs for analysis or quoting. You can use the extraction function on one or multiple pages to output readable text suitable for downstream literature review or archival.

Can I get summarized web search results with source citations?▼

AI web search returns ranked, summarized snippets complete with source citations. You can retrieve summarized sources tailored for quick lookups or deep research, eliminating manual web sifting for evidence gathering.

How does AI web search handle topical filtering for news monitoring?▼

AI web search supports topical filtering through query parameters to monitor recent news developments. You can apply topic parameters to narrow search results, ensuring the ranked sources match your specific news or research subject.

What is the best way to perform deep research on recent developments?▼

Deep research requires running an advanced search query to retrieve ranked, summarized results, then extracting full-page content from the most relevant URLs. Setting search depth to advanced tailors the AI-curated results for comprehensive topical analysis.

Does web content extraction work for multiple URLs at once?▼

Web content extraction processes multiple URLs simultaneously to pull cleaned page text. You can pass several URLs into the extraction function to gather full article text for comparative analysis or multi-source reporting.

When should I use advanced search depth instead of a quick lookup?▼

Advanced search depth is necessary when queries require comprehensive evidence gathering or literature review, whereas quick lookups suit simple fact-finding. Advanced depth retrieves deeper, ranked summarized results for multi-page extraction and analysis.

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