Tavily Search

Web search using Tavily's LLM-optimized API. Returns relevant results with content snippets, scores, and metadata.

Liang

@matthew77

What This Skill Does

CLI tool that searches the web via Tavily's API and returns results with content snippets, relevance scores, and metadata. Supports configurable result count, search depth, topic filtering, domain inclusion/exclusion, and time range.

Replaces manual web scraping or generic search APIs by delivering LLM-optimized results with relevance scores and structured metadata.

When to Use It

  • Search the web for recent news on a specific topic
  • Retrieve high-relevance results for a research query using advanced depth
  • Filter search results to include only trusted domains like docs.python.org
  • Get content snippets for multiple queries in a data pipeline
  • Find information from the past week using the time-range filter
  • Perform a quick real-time search for autocomplete or chat responses

Install

$ openclaw skills install @matthew77/liang-tavily-search

Tavily Search

Search the web and get relevant results optimized for LLM consumption.

Authentication

Get your API key at https://tavily.com and add to your OpenClaw config:

{
  "skills": {
    "entries": {
      "tavily-search": {
        "enabled": true,
        "apiKey": "tvly-YOUR_API_KEY_HERE"
      }
    }
  }
}

Or set the environment variable:

export TAVILY_API_KEY="tvly-YOUR_API_KEY_HERE"

Quick Start

Using the Script

node {baseDir}/scripts/search.mjs "query"
node {baseDir}/scripts/search.mjs "query" -n 10
node {baseDir}/scripts/search.mjs "query" --deep
node {baseDir}/scripts/search.mjs "query" --topic news

Examples

# Basic search
node {baseDir}/scripts/search.mjs "python async patterns"

# With more results
node {baseDir}/scripts/search.mjs "React hooks tutorial" -n 10

# Advanced search
node {baseDir}/scripts/search.mjs "machine learning" --deep

# News search
node {baseDir}/scripts/search.mjs "AI news" --topic news

# Domain-filtered search
node {baseDir}/scripts/search.mjs "Python docs" --include-domains docs.python.org

Options

OptionDescriptionDefault
-n <count>Number of results (1-20)10
--depth <mode>Search depth: ultra-fast, fast, basic, advancedbasic
--topic <topic>Topic: general or newsgeneral
--time-range <range>Time range: day, week, month, year-
--include-domains <domains>Comma-separated domains to include-
--exclude-domains <domains>Comma-separated domains to exclude-
--raw-contentInclude full page contentfalse
--jsonOutput raw JSONfalse

Search Depth

DepthLatencyRelevanceUse Case
ultra-fastLowestLowerReal-time chat, autocomplete
fastLowGoodNeed chunks but latency matters
basicMediumHighGeneral-purpose, balanced
advancedHigherHighestPrecision matters, research

Tips

  • Keep queries under 400 characters - Think search query, not prompt
  • Break complex queries into sub-queries - Better results than one massive query
  • Use --include-domains to focus on trusted sources
  • Use --time-range for recent information
  • Filter by score (0-1) to get highest relevance results

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