A high-performance parallel web search tool using Python's asyncio to retrieve data across multiple queries simultaneously.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install async-web-search
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 async-web-search 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 Async Web Search?
The Async Web Search skill empowers AI agents to perform high-speed, multi-threaded web searches by leveraging Python's asyncio and aiohttp libraries. Instead of processing requests one by one, it initiates multiple search queries concurrently, which significantly reduces the latency involved in gathering comprehensive information from diverse online sources.
As a vital addition to the library of Openclaw Skills, this tool provides a robust foundation for deep research and real-time data analysis. It allows the agent to handle complex, multi-dimensional search tasks that would otherwise result in performance bottlenecks, making it an essential component for any developer building advanced automated research workflows.
Async Web Search Use Cases
- Executing deep research across multiple topics at the same time to save time.
- Gathering comparative data from different search engines or websites in a single parallel operation.
- Performing multi-dimensional searches where several related keywords must be analyzed simultaneously.
- Enhancing the data acquisition speed of AI agents integrated with Openclaw Skills.
How Async Web Search Works
- The AI agent identifies a complex user request that requires multiple search queries.
- The agent invokes the parallel_search tool, passing a list of search strings and result limits.
- The skill utilizes the asyncio event loop to manage non-blocking I/O operations.
- Concurrent HTTP requests are dispatched to search providers using the aiohttp library.
- The system aggregates the results from all parallel tasks into a single structured response.
- The combined data is returned to the agent for synthesis and final reporting.
Async Web Search Setup
To integrate this skill into your environment, ensure you have Python 3.x and the necessary networking libraries installed. This skill is designed to work seamlessly within the framework of Openclaw Skills.
# Install the required Python dependencies
pip install aiohttp asyncio
# Ensure the search_engine.py script is in your executable path
chmod +x search_engine.py
Configure your skill manifest to allow network access for external search requests and permission to execute the python3 binary.
Async Web Search Data Schema & Taxonomy
The skill organizes its search operations using a specific input structure to ensure predictable results across Openclaw Skills implementations.
| Parameter | Type | Description |
|---|---|---|
| queries | List of Strings | The set of search terms to be executed in parallel. |
| max_results | Integer | The maximum number of results to fetch per individual query (default: 3). |
| output | List of Objects | An array containing titles, links, and snippets for every query performed. |
Async Web Search Advanced Features
- Multi-agent support for collaborative data mining and research aggregation.
- Dynamic concurrency control to optimize request throughput based on system resources.
- Native integration with other Openclaw Skills for automated downstream data processing.
- Extensible architecture allowing for custom search provider configurations and API endpoints.
SKILL.md
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