AgentSkillsCN

tavily

通过 Tavily API 进行 AI 优化的网页搜索。返回简洁、相关的搜索结果，供 AI 代理使用。

SKILL.md
--- frontmatter
name: tavily
description: AI-optimized web search via Tavily API. Returns concise, relevant results for AI agents.
homepage: https://tavily.com
metadata: {"clawdbot":{"emoji":"🔍","requires":{"bins":["node"],"env":["TAVILY_API_KEY"]},"primaryEnv":"TAVILY_API_KEY"}}

Tavily Search

AI-optimized web search using Tavily API. Designed for AI agents - returns clean, relevant content.

Search

bash
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

Options

  • •-n <count>: Number of results (default: 5, max: 20)
  • •--deep: Use advanced search for deeper research (slower, more comprehensive)
  • •--topic <topic>: Search topic - general (default) or news
  • •--days <n>: For news topic, limit to last n days

Extract content from URL

bash
node {baseDir}/scripts/extract.mjs "https://example.com/article"

Notes:

  • •Needs TAVILY_API_KEY from https://tavily.com
  • •Tavily is optimized for AI - returns clean, relevant snippets
  • •Use --deep for complex research questions
  • •Use --topic news for current events

Related Search Tools

tavily-search is for single-query AI-optimized search. For more:

ToolUse WhenExample
deep-researchMulti-query Tavily synthesisdeep-research "query" --deep (uses this + more)
valyuTurn-based recursive researchvalyu research "query" --turns 5
lev-researchMulti-perspective orchestrationlev-research "query"
lev-findUnified local + externallev find "query" --scope=research
brave-searchQuick web lookupsbrave-search "query"
exa-plusNeural search, GitHub, papersexa search "query"
grok-researchReal-time X/Twittergrok-research "query"
firecrawlContent extractionfirecrawl scrape <url>
qmdLocal session searchqmd query "query"

Tavily hierarchy:

  • •tavily-search (this) - Single query, clean snippets
  • •deep-research - Multi-query orchestration using Tavily backend

When to use tavily-search:

  • •✅ Quick AI-optimized results
  • •✅ Clean snippets for LLM context
  • •✅ Current events with --topic news
  • •❌ Multi-query synthesis (use deep-research)
  • •❌ Turn-based refinement (use valyu)

See skill://deep-research for comprehensive Tavily workflows.