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/tavily

Use this skill for web search, extraction, mapping, crawling, and research via Tavily’s REST API when web searches are needed and no built-in tool is available, or when Tavily’s LLM-friendly format is beneficial.

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intellectronica-agent-skills
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Install
$ npx -y skills add intellectronica/agent-skills --skill tavily --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/tavily

Context preview

The summary Claude sees to decide when to auto-load this skill.

Use this skill for web search, extraction, mapping, crawling, and research via Tavily’s REST API when web searches are needed and no built-in tool is available, or when Tavily’s LLM-friendly format is beneficial.

SKILL.md

tavily.SKILL.md
name: tavily
description: Use this skill for web search, extraction, mapping, crawling, and research via Tavily’s REST API when web searches are needed and no built-in tool is available, or when Tavily’s LLM-friendly format is beneficial.

Tavily

Purpose

Provide a curl-based interface to Tavily’s REST API for web search, extraction, mapping, crawling, and optional research. Return structured results suitable for LLM workflows and multi-step investigations.

When to Use

  • Use when a task needs live web information, site extraction, mapping, or crawling.
  • Use when web searches are needed and no built-in tool is available, or when Tavily’s LLM-friendly output (summaries, chunks, sources, citations) is beneficial.
  • Use when a task requires structured search results, extraction, or site discovery from Tavily.

Required Environment

  • Require `TAVILY_API_KEY` in the environment.
  • If `TAVILY_API_KEY` is missing, prompt the user to provide the API key before proceeding.

Base URL and Auth

  • Base URL: `https://api.tavily.com`
  • Authentication: `Authorization: Bearer $TAVILY_API_KEY`
  • Content type: `Content-Type: application/json`
  • Optional project tracking: add `X-Project-ID: <project-id>` if project attribution is needed.

Tool Mapping (Tavily REST)

1) search → POST /search

Use for web search with optional answer and content extraction.

Recommended minimal request:

curl -sS -X POST "https://api.tavily.com/search" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $TAVILY_API_KEY" \
  -d '{
    "query": "<query>",
    "search_depth": "basic",
    "max_results": 5,
    "include_answer": true,
    "include_raw_content": false,
    "include_images": false
  }'

Key parameters (all optional unless noted):

  • `query` (required): search text
  • `search_depth`: `basic` | `advanced` | `fast` | `ultra-fast`
  • `chunks_per_source`: 1–3 (advanced only)
  • `max_results`: 0–20
  • `topic`: `general` | `news` | `finance`
  • `time_range`: `day|week|month|year|d|w|m|y`
  • `start_date`, `end_date`: `YYYY-MM-DD`
  • `include_answer`: `false` | `true` | `basic` | `advanced`
  • `include_raw_content`: `false` | `true` | `markdown` | `text`
  • `include_images`: boolean
  • `include_image_descriptions`: boolean
  • `include_favicon`: boolean
  • `include_domains`, `exclude_domains`: string arrays
  • `country`: country name (general topic only)
  • `auto_parameters`: boolean
  • `include_usage`: boolean

Expected response fields:

  • `answer` (if requested), `results[]` with `title`, `url`, `content`, `score`, `raw_content` (optional), `favicon` (optional)
  • `response_time`, `usage`, `request_id`

2) extract → POST /extract

Use for extracting content from specific URLs.

curl -sS -X POST "https://api.tavily.com/extract" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $TAVILY_API_KEY" \
  -d '{
    "urls": ["https://example.com/article"],
    "query": "<optional intent for reranking>",
    "chunks_per_source": 3,
    "extract_depth": "basic",
    "format": "markdown",
    "include_images": false,
    "include_favicon": false
  }'

Key parameters:

  • `urls` (required): array of URLs
  • `query`: rerank chunks by intent
  • `chunks_per_source`: 1–5 (only when `query` provided)
  • `extract_depth`: `basic` | `advanced`
  • `format`: `markdown` | `text`
  • `timeout`: 1–60 seconds
  • `include_usage`: boolean

Expected response fields:

  • `results[]` with `url`, `raw_content`, `images`, `favicon`
  • `failed_results[]`, `response_time`, `usage`, `request_id`

3) map → POST /map

Use for generating a site map (URL discovery only).

curl -sS -X POST "https://api.tavily.com/map" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $TAVILY_API_KEY" \
  -d '{
    "url": "https://docs.tavily.com",
    "max_depth": 1,
    "max_breadth": 20,
    "limit": 50,
    "allow_external": true
  }'

Key parameters:

  • `url` (required)
  • `instructions`: natural language guidance (raises cost)
  • `max_depth`: 1–5
  • `max_breadth`: 1+
  • `limit`: 1+
  • `select_paths`, `select_domains`, `exclude_paths`, `exclude_domains`: arrays of regex strings
  • `allow_external`: boolean
  • `timeout`: 10–150 seconds
  • `include_usage`: boolean

Expected response fields:

  • `base_url`, `results[]` (list of URLs), `response_time`, `usage`, `request_id`

4) crawl → POST /crawl

Use for site traversal with built-in extraction.

curl -sS -X POST "https://api.tavily.com/crawl" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $TAVILY_API_KEY" \
  -d '{
    "url": "https://docs.tavily.com",
    "instructions": "Find all pages about the Python SDK",
    "max_depth": 1,
    "max_breadth": 20,
    "limit": 50,
    "extract_depth": "basic",
    "format": "markdown",
    "include_images": false
  }'

Key parameters:

  • `url` (required)
  • `instructions`: optional; raises cost and enables `chunks_per_source`
  • `chunks_per_source`: 1–5 (only with `instructions`)
  • `max_depth`, `max_breadth`, `limit`: same as map
  • `extract_depth`: `basic` | `advanced`
  • `format`: `markdown` | `text`
  • `include_images`, `include_favicon`, `allow_external`
  • `timeout`: 10–150 seconds
  • `include_usage`: boolean

Expected response fields:

  • `base_url`, `results[]` with `url`, `raw_content`, `favicon`
  • `response_time`, `usage`, `request_id`

Optional Research Workflow (Deep Investigation)

Use when a query needs multi-step analysis and citations.

create research task → POST /research

curl -sS -X POST "https://api.tavily.com/research" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $TAVILY_API_KEY" \
  -d '{
    "input": "<research question>",
    "model": "auto",
    "stream": false,
    "citation_format": "numbered"
  }'

Expected response fields:

  • `request_id`, `created_at`, `status` (pending), `input`, `model`, `response_time`

get research status → GET /research/{request_id}

curl -sS -X GET "https://api.tav
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