Skip to content
Content
Skill

/tavily

Tavily web search, content extraction, and research tools.

BOOST
From plugin
xiaohongshu-mcp-python
14660 skills
Install
$ npx -y skills add luyike221/xiaohongshu-mcp-python --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.

Tavily web search, content extraction, and research tools.

SKILL.md

tavily.SKILL.md
name: tavily
description: Tavily web search, content extraction, and research tools.
metadata:
  { "openclaw": { "emoji": "🔍", "requires": { "config": ["plugins.entries.tavily.enabled"] } } }

Tavily Tools

When to use which tool

| Need | Tool | When | | ---------------------------- | ---------------- | ------------------------------------------------------------- | | Quick web search | `web_search` | Basic queries, no special options needed | | Search with advanced options | `tavily_search` | Need depth, topic, domain filters, time ranges, or AI answers | | Extract content from URLs | `tavily_extract` | Have specific URLs, need their content |

web_search

Tavily powers this automatically when selected as the search provider. Use for straightforward queries where you don't need Tavily-specific options.

| Parameter | Description | | --------- | ------------------------ | | `query` | Search query string | | `count` | Number of results (1-20) |

tavily_search

Use when you need fine-grained control over search behavior.

| Parameter | Description | | ----------------- | --------------------------------------------------------------------- | | `query` | Search query string (keep under 400 characters) | | `search_depth` | `basic` (default, balanced) or `advanced` (highest relevance, slower) | | `topic` | `general` (default), `news` (real-time updates), or `finance` | | `max_results` | Number of results, 1-20 (default: 5) | | `include_answer` | Include an AI-generated answer summary (default: false) | | `time_range` | Filter by recency: `day`, `week`, `month`, or `year` | | `include_domains` | Array of domains to restrict results to | | `exclude_domains` | Array of domains to exclude from results |

Search depth

| Depth | Speed | Relevance | Best for | | ---------- | ------ | --------- | -------------------------------------------- | | `basic` | Faster | High | General-purpose queries (default) | | `advanced` | Slower | Highest | Precision, specific facts, detailed research |

Tips

  • **Keep queries under 400 characters** — think search query, not prompt.
  • **Break complex queries into sub-queries** for better results.
  • **Use `include_domains`** to focus on trusted sources.
  • **Use `time_range`** for recent information (news, current events).
  • **Use `include_answer`** when you need a quick synthesized answer.

tavily_extract

Use when you have specific URLs and need their content. Handles JavaScript-rendered pages and returns clean markdown. Supports query-focused chunking for targeted extraction.

| Parameter | Description | | ------------------- | ------------------------------------------------------------------ | | `urls` | Array of URLs to extract (1-20 per request) | | `query` | Rerank extracted chunks by relevance to this query | | `extract_depth` | `basic` (default, fast) or `advanced` (for JS-heavy pages, tables) | | `chunks_per_source` | Chunks per URL, 1-5 (requires `query`) | | `include_images` | Include image URLs in results (default: false) |

Extract depth

| Depth | When to use | | ---------- | ----------------------------------------------------------- | | `basic` | Simple pages — try this first | | `advanced` | JS-rendered SPAs, dynamic content, tables, embedded content |

Tips

  • **Max 20 URLs per request** — batch larger lists into multiple calls.
  • **Use `query` + `chunks_per_source`** to get only relevant content instead of full pages.
  • **Try `basic` first**, fall back to `advanced` if content is missing or incomplete.
  • If `tavily_search` results already contain the snippets you need, skip the extract step.

Choosing the right workflow

Follow this escalation pattern — start simple, escalate only when needed:

1. **`web_search`** — Quick lookup, no special options needed. 2. **`tavily_search`** — Need depth control, topic filtering, domain filters, time ranges, or AI answers. 3. **`tavily_extract`** — Have specific URLs, need their full content or targeted chunks.

Combine search + extract when you need to find pages first, then get their full content.

Read more
Ships withxiaohongshu-mcp-python

xiaohongshu-mcp-python 是一个基于现代 Python 技术栈开发的小红书内容自动化发布工具,通过 Model Context Protocol(MCP)协议为 AI 客户端提供强大的小红书操作能力。项目核心功能包括小红书账户登录管理、图文内容发布、视频内容发布、内容搜索与获取、帖子详情查看以及评论互动等。支持多种图片格式(JPG、PNG、GIF)和视频格式(MP4、MOV、AVI),既可处理本地文件路径,也支持 HTTP/HTTPS 链接,为用户提供灵活的内容发布方案。 该工具特别适合内容创作者、营销人员和开发者使用,能够显著提升小红书内容发布的效率和自动化程度。通过标准化的 MCP 接口,用户可以轻松地将小红书操作能力集成到各种 AI 工作流中,实现智能化的内容管理

Get the whole plugin

Other skills on xiaohongshu-mcp-python.