A comprehensive search integration for AI agents providing access to 17 global and domestic search engines without the need for API keys.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install multi-search-engine-2
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install multi-search-engine-2 using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Multi Search Engine skill is a versatile tool designed to provide AI agents with broad web access across 17 distinct search engines, including both international giants and major Chinese platforms. By incorporating this into Openclaw Skills, developers can perform high-velocity web crawling and information retrieval without the overhead of managing multiple API keys. It supports a wide array of engines ranging from Google and Bing to regional specialties like Baidu and WeChat, alongside privacy-centric options like Startpage and Brave.
This skill is engineered for technical depth, supporting advanced search operators, time-based filtering, and direct knowledge queries through WolframAlpha. It empowers agents to navigate the web with the precision of a human researcher, making it a cornerstone for any project requiring real-time data or cross-regional information synthesis.
Integrating the Multi Search Engine skill requires no external API keys or complex authentication. Ensure your agent environment supports web fetching. You can immediately begin using the search templates provided in the documentation.
# Example usage for a Google search within your agent
web_fetch({"url": "https://www.google.com/search?q=Openclaw+Skills+documentation"})
# Example usage for a privacy-focused DuckDuckGo search
web_fetch({"url": "https://duckduckgo.com/html/?q=open+source+ai+agents"})
The skill organizes its search logic through a structured URL mapping system. The data is categorized into engine types and functional parameters:
| Component | Description |
|---|---|
| Domestic Engines | 8 engines including Baidu, Sogou, and WeChat for CN-specific data. |
| Global Engines | 9 engines including Google, Bing INT, and Brave for international data. |
| Operators | Supports site:, filetype:, and exact match "" syntax. |
| Time Filters | Parameterized via tbs=qdr: for hour, day, week, month, or year. |
| Knowledge Queries | Direct integration with WolframAlpha for math and factual data. |
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