tavily-search

What This Skill Does

The tavily-search skill is a high-performance, AI-optimized web search tool designed to empower your OpenClaw agent with real-time, accurate information retrieval. Unlike traditional search engines, Tavily is specifically built for AI agents, meaning it doesn't just return a list of links; it provides contextual, AI-synthesized summaries and structured data extraction. By utilizing this skill, your agent can perform deep research, keep up with the latest technological developments, or verify complex queries without the need for manual browsing. It integrates seamlessly into your agent's workflow, allowing for automated, high-quality data gathering across multiple languages.

Installation

Getting started with tavily-search is straightforward and requires no upfront financial commitment. First, head over to the Tavily website to register a free account and copy your unique API Key. Once obtained, configure your environment to enable the skill within OpenClaw. You can do this by executing export TAVILY_API_KEY="your_key_here" in your terminal, or more permanently by appending TAVILY_API_KEY=your_key_here to your ~/.openclaw/.env file. For a quick start, use the installation command: clawhub install openclaw/skills/skills/chyher/irene-tavily.

Use Cases

This skill is perfect for scenarios requiring depth and reliability. Use it for:

• Market Intelligence: Gathering data on industry competitors or current product launches.
• Academic Research: Summarizing scientific papers or exploring complex technical concepts using the advanced depth mode.
• Content Creation: Automating the information-gathering phase for writing technical documentation or articles.
• Problem Solving: Fetching the latest debugging tutorials or community discussions for technical issues that are too new for standard LLM training data.

Example Prompts

1. "Perform a deep research analysis on the current state of decentralized AI infrastructure and provide a summary of the top three projects."
2. "Search for the latest official installation guides for the most recent version of Docker and summarize the key setup differences compared to last year."
3. "Find the most recent news regarding advancements in quantum computing from the last 7 days and format the findings as a concise update."

Tips & Limitations

• Optimize Your Results: Use the --search-depth advanced flag for complex queries that require synthesizing information from multiple sources.
• Control Costs: The skill offers 1000 free monthly requests. Keep an eye on your usage to stay within the free tier. If you consistently hit limits, consider filtering results with the --days parameter.
• Language Support: While the engine supports auto-detection, explicitly using the --lang flag (e.g., zh for Chinese, en for English) will ensure the most relevant results for your target audience.
• Structured Data: Always use the --json flag when calling the script from another Python application to ensure easy parsing of the response content.