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tavily-search

tavily-search

github.com/aws-samplesProductivity19753 installsUpdated 3w ago
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About tavily-search

tavily-search is a web research skill for finding summarized search results and extracting readable content from URLs. It supports quick lookups as well as deeper news, research, and general searches.

Key features

  1. 01Summarized web search results
  2. 02Basic or advanced search depth
  3. 03General, news, and research topics
  4. 04Readable content extraction from URLs

Use cases

  1. 01Researching recent news or events
  2. 02Finding academic or technical information
  3. 03Extracting text from selected webpages

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/aws-samples/sample-strands-agent-with-agentcore --skill tavily-search

After installing, type/tavily-searchin Claude Code to confirm it loaded.

Details

From the project README

Tavily AI Search

Available Tools

  • tavily_search(query, search_depth?, topic?): AI-powered web search that returns relevant, summarized results.

    • query (string, required): Search query
    • search_depth (string, optional, default: "basic"): "basic" for quick lookups, "advanced" for comprehensive research
    • topic (string, optional, default: "general"): "general", "news", or "research"

  • tavily_extract(urls, extract_depth?): Extract clean, readable content from one or more web URLs.

    • urls (string, required): Comma-separated URLs to extract content from
    • extract_depth (string, optional, default: "basic"): "basic" or "advanced"

Usage Guidelines

  • Use tavily_search for research queries that benefit from AI-curated results.
  • Set search_depth to "advanced" for comprehensive research, "basic" for quick lookups.
  • Set topic to "news" for recent events, "research" for academic/technical topics.
  • Use tavily_extract to get full page content from specific URLs found in search results.
  • Tavily excels at recent information and news — prefer it for time-sensitive queries.

Citation Format

When presenting information from search results, wrap every specific claim in <cite> tags:

<cite source="SOURCE_TITLE" url="URL">claim text</cite>

Rules:

  • Cite factual claims, statistics, quotes, and specific information from search results.
  • The source attribute should contain the title or name of the source.
  • The url attribute should contain the source URL when available.
  • Do NOT cite your own reasoning or general knowledge.
  • If search results don't contain relevant information, inform the user rather than guessing.
  • Use the minimum number of citations necessary to support claims.

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