A comprehensive search and research skill that enables AI agents to perform neural web searches, content extraction, and structured async research.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install exa-full
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-full 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 AI Search & Research?
The Exa Search + Research skill provides a high-performance interface for AI agents to interact with the Exa API. It enables advanced web searching with neural and deep modes, extraction of clean page content, and specialized code-context retrieval. By integrating these Openclaw Skills, developers can empower their agents to handle complex, multi-step research workflows with structured outputs and automated polling.
This skill is designed for technical workflows that require more than just basic search results. It supports category-specific filtering—such as company, research paper, or news—and allows for deep crawling of subpages to gather exhaustive context for LLM-driven tasks.
Exa AI Search & Research Use Cases
- Retrieving up-to-date documentation or code snippets for complex programming tasks.
- Conducting deep market research using specific category filters like company or financial report.
- Extracting full-page content and crawling subpages to provide comprehensive context for agent reasoning.
- Executing long-running research tasks that require structured JSON outputs and automated status polling.
How Exa AI Search & Research Works
- Initialize the skill by providing a valid Exa API key through environment variables or a local .env file.
- Select the specific script based on the requirement, such as search.sh for queries or content.sh for extraction.
- Configure execution parameters like search type (neural, deep, fast) and domain filters to refine results.
- Execute the command to interact with the Exa API and receive structured data for the agent to process.
- For research tasks, the skill handles the lifecycle of creating a task and polling for the final result.
Exa AI Search & Research Setup
To use this skill, ensure you have curl and jq installed. You must set your API key using one of the following methods:
export EXA_API_KEY="your-exa-api-key"
Alternatively, create a .env file in the same directory as the Openclaw Skills configuration:
EXA_API_KEY=your-exa-api-key
Exa AI Search & Research Data Schema & Taxonomy
The skill returns structured JSON data optimized for AI consumption. Below are the primary data structures handled:
| Script | Output Data |
|---|---|
search.sh |
Array of search results including title, URL, score, and published date. |
content.sh |
Extracted text content, highlighted sentences, and crawled subpage data. |
code.sh |
Programming-specific context, snippets, and documentation links. |
research.sh |
Structured research findings based on a provided outputSchema JSON file. |
Exa AI Search & Research Advanced Features
- Neural and deep search modes for semantic understanding beyond keyword matching.
- Live crawl capabilities to retrieve the most current version of a webpage in real-time.
- Multi-step async research workflows that support custom JSON schemas for structured data extraction.
- Intelligent search type escalation based on speed or depth requirements defined in the Openclaw Skills logic.
SKILL.md
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