AgentSkillsCN

search

使用Tavily的LLM优化搜索API在网络中进行搜索。返回相关结果,附带内容片段、评分与元数据。当您需要在不编写代码的情况下,围绕任意主题查找网络内容时使用此功能。

SKILL.md
--- frontmatter
name: search
description: "Search the web using Tavily's LLM-optimized search API. Returns relevant results with content snippets, scores, and metadata. Use when you need to find web content on any topic without writing code."

Search Skill

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

Authentication

The script uses OAuth via the Tavily MCP server. No manual setup required - on first run, it will:

  1. Check for existing tokens in ~/.mcp-auth/
  2. If none found, automatically open your browser for OAuth authentication

Note: You must have an existing Tavily account. The OAuth flow only supports login — account creation is not available through this flow. Sign up at tavily.com first if you don't have an account.

Alternative: API Key

If you prefer using an API key, get one at https://tavily.com and add to ~/.claude/settings.json:

json
{
  "env": {
    "TAVILY_API_KEY": "tvly-your-api-key-here"
  }
}

Quick Start

Using the Script

bash
./scripts/search.sh '<json>'

Examples:

bash
# Basic search
./scripts/search.sh '{"query": "python async patterns"}'

# With options
./scripts/search.sh '{"query": "React hooks tutorial", "max_results": 10}'

# Advanced search with filters
./scripts/search.sh '{"query": "AI news", "time_range": "week", "max_results": 10}'

# Domain-filtered search
./scripts/search.sh '{"query": "machine learning", "include_domains": ["arxiv.org", "github.com"], "search_depth": "advanced"}'

Basic Search

bash
curl --request POST \
  --url https://api.tavily.com/search \
  --header "Authorization: Bearer $TAVILY_API_KEY" \
  --header 'Content-Type: application/json' \
  --data '{
    "query": "latest developments in quantum computing",
    "max_results": 5
  }'

Advanced Search

bash
curl --request POST \
  --url https://api.tavily.com/search \
  --header "Authorization: Bearer $TAVILY_API_KEY" \
  --header 'Content-Type: application/json' \
  --data '{
    "query": "machine learning best practices",
    "max_results": 10,
    "search_depth": "advanced",
    "include_domains": ["arxiv.org", "github.com"]
  }'

API Reference

Endpoint

code
POST https://api.tavily.com/search

Headers

HeaderValue
AuthorizationBearer <TAVILY_API_KEY>
Content-Typeapplication/json

Request Body

FieldTypeDefaultDescription
querystringRequiredSearch query (keep under 400 chars)
max_resultsinteger10Maximum results (0-20)
search_depthstring"basic"ultra-fast, fast, basic, advanced
topicstring"general"Search topic (general only)
time_rangestringnullday, week, month, year
start_datestringnullReturn results after this date (YYYY-MM-DD)
end_datestringnullReturn results before this date (YYYY-MM-DD)
include_domainsarray[]Domains to include (max 300)
exclude_domainsarray[]Domains to exclude (max 150)
countrystringnullBoost results from a specific country (general topic only)
include_raw_contentbooleanfalseInclude full page content
include_imagesbooleanfalseInclude image results
include_image_descriptionsbooleanfalseInclude descriptions for images
include_faviconbooleanfalseInclude favicon URL for each result

Response Format

json
{
  "query": "latest developments in quantum computing",
  "results": [
    {
      "title": "Page Title",
      "url": "https://example.com/page",
      "content": "Extracted text snippet...",
      "score": 0.85
    }
  ],
  "response_time": 1.2
}

Search Depth

DepthLatencyRelevanceContent Type
ultra-fastLowestLowerNLP summary
fastLowGoodChunks
basicMediumHighNLP summary
advancedHigherHighestChunks

When to use each:

  • ultra-fast: Real-time chat, autocomplete
  • fast: Need chunks but latency matters
  • basic: General-purpose, balanced
  • advanced: Precision matters (default recommendation)

Examples

Domain-Filtered Search

bash
curl --request POST \
  --url https://api.tavily.com/search \
  --header "Authorization: Bearer $TAVILY_API_KEY" \
  --header 'Content-Type: application/json' \
  --data '{
    "query": "Python async best practices",
    "include_domains": ["docs.python.org", "realpython.com", "github.com"],
    "search_depth": "advanced"
  }'

Search with Full Content

bash
curl --request POST \
  --url https://api.tavily.com/search \
  --header "Authorization: Bearer $TAVILY_API_KEY" \
  --header 'Content-Type: application/json' \
  --data '{
    "query": "React hooks tutorial",
    "max_results": 3,
    "include_raw_content": true
  }'

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