Skills tavily-search

Name: tavily-search
Author: openclaw

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

install

source · Clone the upstream repo

git clone https://github.com/openclaw/skills

Claude Code · Install into ~/.claude/skills/

T=$(mktemp -d) && git clone --depth=1 https://github.com/openclaw/skills "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/15914355527/liang-tavily-search-v2" ~/.claude/skills/openclaw-skills-tavily-search && rm -rf "$T"

OpenClaw · Install into ~/.openclaw/skills/

T=$(mktemp -d) && git clone --depth=1 https://github.com/openclaw/skills "$T" && mkdir -p ~/.openclaw/skills && cp -r "$T/skills/15914355527/liang-tavily-search-v2" ~/.openclaw/skills/openclaw-skills-tavily-search && rm -rf "$T"

manifest: skills/15914355527/liang-tavily-search-v2/SKILL.md

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

Option	Description	Default
`-n <count>`	Number of results (1-20)	10
`--depth <mode>`	Search depth: `ultra-fast` , `fast` , `basic` , `advanced`	`basic`
`--topic <topic>`	Topic: `general` or `news`	`general`
`--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-content`	Include full page content	false
`--json`	Output raw JSON	false

Search Depth

Depth	Latency	Relevance	Use Case
`ultra-fast`	Lowest	Lower	Real-time chat, autocomplete
`fast`	Low	Good	Need chunks but latency matters
`basic`	Medium	High	General-purpose, balanced
`advanced`	Higher	Highest	Precision 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