tavily

What This Skill Does

The Tavily Search skill for OpenClaw integrates the powerful Tavily API, which is purpose-built for AI agents. Unlike standard search engines that return cluttered HTML and advertising-heavy results, Tavily processes web data specifically to extract clean, semantic information that is ready for LLM consumption. This skill allows your OpenClaw agent to browse the live web, perform deep research, and extract article content from specific URLs, ensuring your agent always has access to the latest data.

Installation

To add this skill to your OpenClaw environment, execute the following command in your terminal:

clawhub install openclaw/skills/skills/arun-8687/tavily-search

Before you can utilize the tool, ensure you have obtained a valid API key from Tavily.com. Set this key in your environment variables as TAVILY_API_KEY to allow the agent to authenticate and perform requests against the Tavily infrastructure.

Use Cases

• Market Research: Gather summarized information about industry trends, competitor movements, or technical documentation without having to manually parse through websites.
• News Monitoring: Stay updated on real-time events by utilizing the --topic news flag to fetch the most recent developments on a specific subject.
• Fact Checking: Use the --deep search mode to verify claims or look up complex, multi-faceted questions that require synthesizing information from multiple reputable sources.
• Web Content Extraction: Use the extract.mjs utility to pull the text content from specific URLs, stripping away boilerplate, navigation menus, and footers for efficient processing.

Example Prompts

1. "Perform a deep search on the latest advancements in quantum computing research from this year and summarize the top 3 breakthroughs."
2. "What are the current top news stories regarding global renewable energy policy? Limit the results to the last 7 days."
3. "Extract the full text from https://example.com/blog/deep-dive-into-ai-architecture to analyze the author's argument."

Tips & Limitations

• Token Efficiency: Because Tavily returns optimized, clean text, your agent saves context window space compared to raw HTML extraction.
• Deep Search: While the --deep flag provides superior accuracy and context, please note it is slower and consumes more credits than the default search. Use it sparingly for tasks requiring high precision.
• API Limits: Keep in mind your Tavily account tier limits. If you are conducting high-volume research, ensure your subscription covers your expected request frequency.
• Source Attribution: Always encourage your agent to cite the URLs returned in the search results to maintain transparency and facilitate user verification of the information.