A neural search engine skill that provides AI agents with deep web context, code documentation, and research data.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install exa
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install exa using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Exa?
The Exa skill is a high-performance neural search integration designed specifically for developers and AI agents. Unlike standard search engines, it utilizes embeddings to understand the semantic meaning of queries, making it a cornerstone for Openclaw Skills that require high-precision technical data. It allows agents to bypass traditional keyword limitations to find actual documentation, GitHub repositories, and research papers relevant to the current task.
By leveraging the Exa AI API, this skill enables programmatic access to the web's most relevant information. It is particularly effective for RAG (Retrieval-Augmented Generation) workflows where the AI needs to ingest full-text content from the internet to solve complex coding problems or provide up-to-date technical summaries.
Exa Use Cases
- Retrieving the latest documentation for rapidly changing software libraries.
- Finding high-quality code examples on GitHub for specific implementation patterns.
- Conducting deep research on technical papers or company background information.
- Automating the extraction of full-text content from multiple web sources for AI summarization.
- Enhancing the knowledge base of Openclaw Skills with live web data.
How Exa Works
- The AI agent initiates a search request with a natural language query.
- The skill identifies the search type (neural, fast, or deep) and any specific categories (like GitHub or Research).
- The Exa API processes the query and returns a list of semantically related URLs and metadata.
- Optionally, the skill can perform a secondary step to extract the full text content from the discovered URLs.
- The refined data is passed back to the agent for analysis or code generation.
Exa Setup
To integrate this search capability into your Openclaw Skills environment, follow these installation steps:
- Get an API key from the Exa Dashboard.
- Set the API key as an environment variable in your terminal:
export EXA_API_KEY="your-key-here"
Exa Data Schema & Taxonomy
The skill manages data through specific parameters and structured responses:
| Attribute | Description |
|---|---|
| Search Type | options: auto, neural, fast, deep |
| Category | filters: company, research-paper, news, github, tweet, personal-site, pdf |
| Result Count | Limits the number of returned URLs |
| Full Content | Boolean flag to toggle full-text extraction from URLs |
All results are returned in a clean format compatible with LLM context windows.
Exa Advanced Features
- Support for neural-specific search modes to find non-keyword matches.
- Granular category filtering to isolate search results to GitHub or research domains.
- Batch content extraction to scrape multiple technical sites simultaneously.
- Seamless integration with Openclaw Skills for automated background research.
SKILL.md
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