Tavily AI Search for Openclaw

A specialized search engine skill designed to provide Large Language Models with clean, structured web data and synthesized AI answers.

bert-builder
v1.0.0
Jan 25, 2026
36
48.4k
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install tavily

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install tavily using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is Tavily AI Search?

Tavily AI Search is a sophisticated search tool built specifically for AI agents and LLM applications. Unlike traditional search engines that return messy HTML and ads, this skill delivers structured, noise-free content that is immediately ready for processing by an AI model. By integrating this into your collection of Openclaw Skills, you enable your agent to conduct high-speed factual lookups or deep-dive technical research with ease.

The skill supports multiple operational modes, including a basic mode for rapid responses and an advanced mode for comprehensive analysis. It excels at extracting clean content and generating automated answer summaries, making it an essential component for any developer building autonomous research workflows or data-gathering agents.

Tavily AI Search Use Cases

  • Performing comprehensive research on complex technical topics like quantum computing or software architecture.
  • Tracking current events and breaking news using the time-sensitive news topic filter.
  • Restricting searches to authoritative documentation or academic domains like GitHub, arXiv, or official project sites.
  • Extracting raw HTML content for deep-dive sentiment analysis or custom data scraping projects.
  • Generating quick, synthesized summaries of search results to provide immediate answers without manual browsing.

How Tavily AI Search Works

  1. The AI agent initiates a query through the Openclaw Skills interface, specifying parameters like search depth and topic focus.
  2. The skill applies domain filters to include or exclude specific websites, ensuring a high signal-to-noise ratio.
  3. The Tavily API executes the search, crawling the web or specific news sources based on the user's requirements.
  4. Search results are parsed to extract clean text snippets, relevance scores, and optional raw HTML or images.
  5. If requested, an AI model synthesizes the findings into a concise answer summary.
  6. The final structured payload is returned to the agent, providing it with grounded, real-world information.

Tavily AI Search Setup

To integrate this search capability into your Openclaw Skills workflow, follow these installation steps:

  1. Install the Tavily Python SDK:
pip install tavily-python
  1. Obtain an API key from the Tavily dashboard and set it as an environment variable:
export TAVILY_API_KEY="tvly-YOUR_API_KEY_HERE"
  1. Alternatively, add the configuration to your agent settings:
{
  "skills": {
    "entries": {
      "tavily": {
        "enabled": true,
        "apiKey": "tvly-YOUR_API_KEY_HERE"
      }
    }
  }
}

Tavily AI Search Data Schema & Taxonomy

The skill organizes its output into a highly structured format optimized for context windows. This structure is a hallmark of quality within the Openclaw Skills ecosystem.

Attribute Description
answer A synthesized summary of the search results for quick comprehension.
results An array containing title, URL, and optimized content snippets.
score A numerical relevance score (0-1) indicating the quality of each result.
raw_content The full HTML content of the page (if requested for deep analysis).
images A list of URLs for relevant visual content found during the search.

Tavily AI Search Advanced Features

  • Advanced Search Depth: A multi-pass search process for complex queries requiring maximum coverage.
  • News-Specific Filtering: A dedicated mode that prioritizes content published within the last 7 days.
  • Domain Inclusion/Exclusion: Strategic control over source quality by whitelisting trusted sites or blacklisting content farms.
  • Programmatic Chaining: Ability to pipe search results into other CLI tools or automation scripts via JSON output.
  • Raw HTML Extraction: Capability to bypass snippets and retrieve full page source for specialized parsing.

SKILL.md


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