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tavily-search

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Search the web using Tavily AI search API

8 stars
1.2k downloads
Updated 3/7/2026

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SKILL.md

Tavily Web Search Skill

Search the web using the Tavily AI search API, optimized for LLM applications.

Authentication

Set the TAVILY_API_KEY environment variable with your Tavily API key. Get your key at https://tavily.com

No OAuth or MCP configuration required.

Quick Start

./scripts/tavily-search.sh '{"query": "latest AI news"}'

Tool: tavily_search

Search the web using Tavily AI.

Input:

ParameterTypeRequiredDescription
querystringyesThe search query
search_depthstringnobasic (fast) or advanced (thorough). Default: basic
max_resultsintegernoMaximum results to return (1-20). Default: 5
time_rangestringnoFilter by time: day, week, month, year
include_domainsarraynoOnly include results from these domains
exclude_domainsarraynoExclude results from these domains

Output: JSON object with query, answer, results (array of {title, url, content, score}), and response_time.

Search Depth

DepthSpeedDetailUse Case
basicFast (~1s)Standard snippetsQuick lookups, fact checks
advancedSlower (~3s)Detailed contentResearch, analysis

Response Format

{
  "query": "your search query",
  "answer": "AI-generated summary answer",
  "response_time": 0.5,
  "results": [
    {
      "title": "Page Title",
      "url": "https://example.com",
      "content": "Relevant content snippet...",
      "score": 0.95
    }
  ]
}

Tips

  • Use search_depth: advanced for research tasks that need detailed content
  • Use include_domains to restrict searches to trusted sources
  • Use time_range: day for breaking news or very recent information
  • The answer field provides a concise AI-generated summary when available

Install

Download ZIP
Requires askill CLI v1.0+

AI Quality Score

82/100Analyzed 3/10/2026

Well-structured skill for Tavily web search API with clear documentation, proper authentication via env vars, comprehensive parameter definitions with tables, and good examples. Located in dedicated skills folder with appropriate metadata. Minor gaps include missing script implementation details and error handling guidance. High reusability and actionability."

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Updated3/7/2026
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