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Liang Tavily Search 1.0.1

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

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版本1.0.0
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技能说明


name: tavily-search description: Web search using Tavily's LLM-optimized API. Returns relevant results with content snippets, scores, and metadata. homepage: https://tavily.com metadata: {"openclaw":{"emoji":"🔍","requires":{"bins":["node"],"env":["TAVILY_API_KEY"]},"primaryEnv":"TAVILY_API_KEY"}}

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

如何使用「Liang Tavily Search 1.0.1」?

  1. 打开小龙虾AI(Web 或 iOS App)
  2. 点击上方「立即使用」按钮,或在对话框中输入任务描述
  3. 小龙虾AI 会自动匹配并调用「Liang Tavily Search 1.0.1技能完成任务
  4. 结果即时呈现,支持继续对话优化

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