exa-web-search-free

What This Skill Does

The exa-web-search-free skill integrates Exa's powerful neural search engine into your OpenClaw agent. Unlike traditional keyword-based search engines, this skill utilizes semantic embeddings to retrieve highly relevant information, code context, and company data. It eliminates the need for manual browsing by providing direct access to the web, GitHub repositories, and business intelligence databases. Users can perform standard web searches, extract granular code snippets for programming tasks, or conduct deep company research, all without needing a personal API key.

Installation

To install this skill, run the following command in your terminal: clawhub install openclaw/skills/skills/whiteknight07/exa-web-search-free

Once installed, you must verify the mcporter configuration. If the exa server is not initialized, run: mcporter config add exa https://mcp.exa.ai/mcp

For power users requiring full capability, you can enable the advanced toolset by pointing to the full Exa MCP endpoint provided in the documentation, which includes deep research agents and professional profile searches.

Use Cases

• Software Development: Quickly find specific implementations for complex APIs or frameworks by querying code context from GitHub and Stack Overflow.
• Market Analysis: Perform automated research on specific companies to gather news, leadership updates, and general business standing.
• Knowledge Retrieval: Answer complex questions by synthesizing information from multiple authoritative web sources using the neural search capabilities.
• Advanced Research: Utilize the deep search and researcher features for multi-step investigations that require multiple iterative queries.

Example Prompts

1. "Find the latest updates on the transformer architecture research from the last six months and summarize the key breakthroughs."
2. "Show me a robust implementation example of React hooks for managing authentication state in a Next.js application."
3. "Conduct a company research report on Anthropic, focusing on their recent partnership announcements and product releases."

Tips & Limitations

• Optimizing Search: Use type: "fast" for broad, quick information gathering and type: "deep" when you need nuanced, comprehensive results.
• Token Management: For code searches, adjust tokensNum based on your needs; 1000-2000 is ideal for quick syntax checks, while 5000+ is better for deep architectural analysis.
• Rate Limits: As this is a free-tier integration, be mindful of excessive rapid-fire requests. If you require higher throughput or specific advanced features, consider checking the official Exa documentation for scaling your integration.