S

search

by @tavily-aiv
4.5(476)

This skill is used for web search, retrieving results optimized for Large Language Model (LLM) consumption, requiring no manual setup, and authenticating via OAuth on first run.

Search EnginesInformation RetrievalElasticsearchAlgoliaVector SearchGitHub
Installation
npx skills add tavily-ai/skills --skill search
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Before / After Comparison

1
Before

Providing relevant web search results for Large Language Models (LLMs) typically requires developers to manually configure complex search APIs, handle authentication processes, and filter and format results. This process is cumbersome, time-consuming, and difficult to quickly integrate into LLM applications.

After

The search skill simplifies web search integration for LLMs. It eliminates manual setup; upon first run, it automatically retrieves results optimized for LLM consumption via OAuth authentication. This significantly accelerates LLM application development and improves information retrieval efficiency.

description SKILL.md

search

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:

  • Check for existing tokens in ~/.mcp-auth/

  • 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:

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

Quick Start

Using the Script

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

Examples:

# 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

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

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

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

Headers

Header Value

Authorization Bearer <TAVILY_API_KEY>

Content-Type application/json

Request Body

Field Type Default Description

query string Required Search query (keep under 400 chars)

max_results integer 10 Maximum results (0-20)

search_depth string "basic" ultra-fast, fast, basic, advanced

topic string "general" Search topic (general only)

time_range string null day, week, month, year

start_date string null Return results after this date (YYYY-MM-DD)

end_date string null Return results before this date (YYYY-MM-DD)

include_domains array [] Domains to include (max 300)

exclude_domains array [] Domains to exclude (max 150)

country string null Boost results from a specific country (general topic only)

include_raw_content boolean false Include full page content

include_images boolean false Include image results

include_image_descriptions boolean false Include descriptions for images

include_favicon boolean false Include favicon URL for each result

Response Format

{
  "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

Depth Latency Relevance Content Type

ultra-fast Lowest Lower NLP summary

fast Low Good Chunks

basic Medium High NLP summary

advanced Higher Highest Chunks

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

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

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

Weekly Installs11.8KRepositorytavily-ai/skillsGitHub Stars95First SeenJan 25, 2026Security AuditsGen Agent Trust HubWarnSocketPassSnykWarnInstalled onopencode11.1Kgemini-cli10.9Kcodex10.9Kgithub-copilot10.8Kkimi-cli10.6Kamp10.6K

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Statistics

Installs11.9K
Rating4.5 / 5.0
Version
Updated2026年4月27日
Comparisons1

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4.5(476)
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Compatible Platforms

🔧Claude Code
🔧OpenClaw
🔧OpenCode
🔧Codex
🔧Gemini CLI
🔧GitHub Copilot
🔧Amp
🔧Kimi CLI

Timeline

Created2026年3月17日
Last Updated2026年4月27日
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