Multi Search Engine for Openclaw

A comprehensive search integration for AI agents providing access to 17 global and domestic search engines without the need for API keys.

phucanh08
v1.0.0
Feb 10, 2026
1
3.9k
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install multi-search-engine-2

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

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).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is Multi Search Engine?

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.

Multi Search Engine Use Cases

  • Aggregating search results from both Chinese (Baidu, Sogou) and International (Google, Bing) sources for global market analysis.
  • Executing privacy-focused web research using GDPR-compliant engines within Openclaw Skills.
  • Scoping searches to specific domains using the site: operator for technical documentation retrieval.
  • Retrieving specific file types like PDFs or datasets for automated data collection.
  • Accessing real-time computational data and unit conversions via WolframAlpha integration.

How Multi Search Engine Works

  1. The AI agent selects the optimal search engine based on the geographical or technical requirements of the query.
  2. The system constructs a search URL by injecting the target keyword into the engine's specific URL template.
  3. Advanced parameters such as site operators, filetype filters, or time-range flags (e.g., tbs=qdr:w) are appended to the query.
  4. The agent performs a web fetch action to retrieve the content from the generated URL.
  5. The retrieved data is then parsed and processed to fulfill the user's request within the Openclaw Skills framework.

Multi Search Engine Setup

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"})

Multi Search Engine Data Schema & Taxonomy

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.

Multi Search Engine Advanced Features

  • Support for DuckDuckGo Bangs to quickly redirect queries to GitHub, Stack Overflow, or Wikipedia.
  • Privacy-first searching capabilities using Startpage, which provides Google results without tracking.
  • Granular time filtering to ensure Openclaw Skills retrieve only the most recent and relevant data.
  • Specialized Chinese search engine support including WeChat and Toutiao for deep regional insights.
  • No-API-key architecture allowing for unlimited scaling of search requests without cost barriers.

SKILL.md


Loading

Related Openclaw Skills

METADATA

Github Stars: 0
forks: 0

Featured*