Multi Search Engine for Openclaw

An integrated multi-engine search skill providing access to 17 global and domestic search platforms without requiring API keys.

kakaxiazai
v1.0.0
Mar 29, 2026
0
1.4k
0

Install & Download

1. ClawHub CLI

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

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

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 api-multi-search-engine 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 powerful expansion for AI agents, integrating 8 Chinese domestic and 9 international search engines into a single workflow. By utilizing this within the Openclaw Skills ecosystem, developers can bypass the complexity of individual API integrations while gaining access to massive data pools from Baidu, Google, DuckDuckGo, and specialized platforms like WolframAlpha.

This skill is designed for high-performance web crawling and data gathering. It provides an abstraction layer over standard search queries, allowing agents to pivot between privacy-focused engines, regional specific results (CN/HK/INT), and computational knowledge engines for complex fact-checking and real-time data retrieval.

Multi Search Engine Use Cases

  • Aggregating search results across different geographical regions (CN vs Global).
  • Conducting privacy-preserving research using DuckDuckGo, Startpage, or Brave Search.
  • Automated data scraping and document discovery using advanced filetype and site-specific operators.
  • Real-time financial conversions and mathematical computations via WolframAlpha integration.
  • Monitoring trending topics across diverse platforms like WeChat, Toutiao, and Ecosia.

How Multi Search Engine Works

  1. The AI agent identifies a search requirement and selects the most appropriate engine based on the query type (e.g., regional vs. global).
  2. The skill constructs a URL-encoded query using the optimized endpoint templates for the selected search engine.
  3. A web_fetch operation is executed to retrieve the HTML content of the search results page.
  4. Advanced operators (site, filetype, etc.) and time filters are appended to the query parameters to refine result accuracy.
  5. The agent parses the returned data to extract relevant links, snippets, or computational answers.

Multi Search Engine Setup

To integrate this capability into your project using Openclaw Skills, ensure your environment supports web fetching and include the skill configuration in your agent's manifest.

# Clone the skill into your project
git clone https://github.com/openclaw/multi-search-engine.git

# No API keys are required; ensure network access to the target engines

Multi Search Engine Data Schema & Taxonomy

The skill utilizes specific URL parameters to organize metadata and filter results. Below is the taxonomy for search refinement:

Feature Metadata Parameter Description
Time Filter tbs=qdr:[h/d/w/m/y] Restricts results by hour, day, week, month, or year.
Region ensearch=[0/1] Toggles between Chinese and International results for Bing.
Source !bang DuckDuckGo shortcuts to redirect queries to specific domains like GitHub or Stack Overflow.
Knowledge {keyword} Direct injection into WolframAlpha for structured data responses.

Multi Search Engine Advanced Features

  • Multi-Region Support: Seamlessly switch between 8 CN-specific engines and 9 global engines.
  • Privacy-First Research: Native support for GDPR-compliant and non-tracking engines like Qwant and Startpage.
  • Computational Queries: Deep integration with WolframAlpha for math, stocks, and unit conversions.
  • Advanced Search Operators: Full support for exact match, exclusion, and boolean logic within standard web_fetch calls.
  • Zero-API Architecture: Enables scaling without the overhead of managing third-party API quotas or tokens.

SKILL.md


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