A specialized search engine skill designed to provide Large Language Models with clean, structured web data and synthesized AI answers.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install tavily
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
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).
Get the raw skill files in a ZIP archive.
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.
To integrate this search capability into your Openclaw Skills workflow, follow these installation steps:
pip install tavily-python
export TAVILY_API_KEY="tvly-YOUR_API_KEY_HERE"
{
"skills": {
"entries": {
"tavily": {
"enabled": true,
"apiKey": "tvly-YOUR_API_KEY_HERE"
}
}
}
}
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. |
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