exa

What This Skill Does

The Exa skill provides OpenClaw agents with advanced, neural-powered search capabilities directly integrated into their workflow. Unlike traditional keyword-based search engines, Exa utilizes neural embeddings to understand the semantic intent behind a query, allowing the agent to retrieve highly relevant documentation, specialized code snippets, research papers, and company data. This skill effectively acts as an intelligence bridge between the agent and the vast repository of the public web, enabling more accurate, data-backed reasoning.

Installation

To integrate this skill, ensure you have the OpenClaw environment configured and run the following command in your terminal: clawhub install openclaw/skills/skills/fardeenxyz/exa

After installation, you must obtain an API key from the Exa Dashboard and set it as an environment variable in your system configuration: export EXA_API_KEY="your-key-here"

Use Cases

• Technical Research: Quickly find documentation or implementation patterns for specific libraries or APIs.
• Market Intelligence: Gather structured company data, news updates, or recent developments regarding specific organizations.
• Code Context: Fetch relevant code implementations to assist in debugging or architectural decision-making.
• Content Aggregation: Extract full-text content from complex web pages or PDFs for further processing by the agent.

Example Prompts

1. "Use Exa to find recent research papers on transformer architectures published in the last six months and summarize the key findings."
2. "Search for the latest official documentation on implementing custom agents in the OpenClaw framework and provide a concise code example."
3. "Look up current news regarding the impact of synthetic data on LLM training and identify the top three companies involved."

Tips & Limitations

• Precision: Use the type parameter (neural, fast, deep) to balance speed and quality. Use deep for complex technical inquiries.
• Filtering: Leverage the category filter (e.g., github, research-paper) to reduce noise in search results.
• Rate Limits: As this uses an external API, ensure your account limits are monitored. The agent may experience latency if the deep search type is frequently used on large datasets.