T

tavily-web

by @benedictkingv
4.4(125)

ユーザーの意図に基づいてTavilyエンドポイントを選択し、ウェブ検索、情報抽出などの操作を実行します。

Tavily APIWeb SearchInformation RetrievalAI Data SourcingSearch Engine APIGitHub
インストール方法
npx skills add benedictking/tavily-web --skill tavily-web
compare_arrows

Before / After 効果比較

1
使用前

特定のウェブページから要約を取得する必要があったが、広範なウェブ検索しかできず、時間がかかり、結果も不正確だった。例えば、一般的な検索機能を使って特定の記事の要点を探すような場合。

使用後

Tavilyの`extract`エンドポイントを使用することで、指定されたURLからコンテンツを直接効率的に抽出し、要約できるようになり、情報取得の効率と精度が大幅に向上した。

description SKILL.md

tavily-web

Tavily Web Skill

Trigger Conditions & Endpoint Selection

Choose Tavily endpoint based on user intent:

  • search: Need to "search web / latest info / find sources / find links"

  • extract: Given URL(s), need to extract/summarize content

  • crawl: Need to traverse site following instructions and scrape page content

  • map: Need to discover site page list/structure (without full content or metadata only)

  • research: Need structured research output following given output_schema

Recommended Architecture (Main Skill + Sub-skill)

This skill uses a two-phase architecture:

  • Main skill (current context): Understand user question → Choose endpoint → Assemble JSON payload

  • Sub-skill (fork context): Only responsible for HTTP call execution, avoiding conversation history token waste

Execution Method

Use Task tool to invoke tavily-fetcher sub-skill, passing command and JSON (stdin):

Task parameters:
- subagent_type: Bash
- description: "Call Tavily API"
- prompt: cat <<'JSON' | node .claude/skills/tavily-web/tavily-api.cjs <search|extract|crawl|map|research>
  { ...payload... }
  JSON

Payload Examples (Based on Provided curl)

1) Search the web

cat <<'JSON' | node .claude/skills/tavily-web/tavily-api.cjs search
{
  "query": "who is Leo Messi?",
  "auto_parameters": false,
  "topic": "general",
  "search_depth": "basic",
  "chunks_per_source": 3,
  "max_results": 1,
  "time_range": null,
  "start_date": "2025-02-09",
  "end_date": "2025-12-29",
  "include_answer": false,
  "include_raw_content": false,
  "include_images": false,
  "include_image_descriptions": false,
  "include_favicon": false,
  "include_domains": [],
  "exclude_domains": [],
  "country": null,
  "include_usage": false
}
JSON

2) Extract webpages

cat <<'JSON' | node .claude/skills/tavily-web/tavily-api.cjs extract
{
  "urls": "https://en.wikipedia.org/wiki/Artificial_intelligence",
  "query": "<string>",
  "chunks_per_source": 3,
  "extract_depth": "basic",
  "include_images": false,
  "include_favicon": false,
  "format": "markdown",
  "timeout": "None",
  "include_usage": false
}
JSON

3) Crawl webpages

cat <<'JSON' | node .claude/skills/tavily-web/tavily-api.cjs crawl
{
  "url": "docs.tavily.com",
  "instructions": "Find all pages about the Python SDK",
  "chunks_per_source": 3,
  "max_depth": 1,
  "max_breadth": 20,
  "limit": 50,
  "select_paths": null,
  "select_domains": null,
  "exclude_paths": null,
  "exclude_domains": null,
  "allow_external": true,
  "include_images": false,
  "extract_depth": "basic",
  "format": "markdown",
  "include_favicon": false,
  "timeout": 150,
  "include_usage": false
}
JSON

4) Map webpages

cat <<'JSON' | node .claude/skills/tavily-web/tavily-api.cjs map
{
  "url": "docs.tavily.com",
  "instructions": "Find all pages about the Python SDK",
  "max_depth": 1,
  "max_breadth": 20,
  "limit": 50,
  "select_paths": null,
  "select_domains": null,
  "exclude_paths": null,
  "exclude_domains": null,
  "allow_external": true,
  "timeout": 150,
  "include_usage": false
}
JSON

5) Create Research Task

cat <<'JSON' | node .claude/skills/tavily-web/tavily-api.cjs research
{
  "input": "What are the latest developments in AI?",
  "model": "auto",
  "stream": false,
  "output_schema": {
    "properties": {
      "company": {
        "type": "string",
        "description": "The name of the company"
      },
      "key_metrics": {
        "type": "array",
        "description": "List of key performance metrics",
        "items": {
          "type": "string"
        }
      },
      "financial_details": {
        "type": "object",
        "description": "Detailed financial breakdown",
        "properties": {
          "operating_income": {
            "type": "number",
            "description": "Operating income for the period"
          }
        }
      }
    },
    "required": [
      "company"
    ]
  },
  "citation_format": "numbered"
}
JSON

Environment Variables & API Key

Two ways to configure API Key (priority: environment variable > .env):

  • Environment variable: TAVILY_API_KEY

  • .env file: Place in .claude/skills/tavily-web/.env, can copy from .env.example

Weekly Installs267Repositorybenedictking/tavily-webGitHub Stars2First SeenJan 20, 2026Security AuditsGen Agent Trust HubPassSocketPassSnykWarnInstalled onopencode236codex220gemini-cli214claude-code171github-copilot170cursor169

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統計データ

インストール数3.1K
評価4.4 / 5.0
バージョン
更新日2026年4月27日
比較事例1 件

ユーザー評価

4.4(125)
5
23%
4
51%
3
23%
2
2%
1
0%

この Skill を評価

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対応プラットフォーム

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

タイムライン

作成2026年3月17日
最終更新2026年4月27日
🎁 Agent 知識カード