multi-search-engine

Search 17 CN and global engines simultaneously with advanced operators and time filters.

Updated Apr 6, 2026
One-click install
npx skills add https://github.com/Muchunpeng/openclaw-config --skill multi-search-engine-muchunpeng
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: multi-search-engine
Source: https://github.com/Muchunpeng/openclaw-config/tree/main/workspace/skills/multi-search-engine
Command: npx skills add https://github.com/Muchunpeng/openclaw-config --skill multi-search-engine-muchunpeng

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Manually querying multiple search engines is time-consuming and fragmented; this Skill consolidates 17 engines in a single workflow to streamline research.

Core Features & Use Cases

  • 17 engines integrated: CN and global search options including Google, Bing, DuckDuckGo, Baidu, and more.
  • Advanced operators & time filters: Supports site:, filetype:, exact phrases, and time-limited searches.
  • Privacy and knowledge queries: Includes privacy-focused engines and WolframAlpha knowledge queries for computed results.
  • Use Case: Ideal for academic research, market intelligence, competitor scouting, and comprehensive keyword exploration across regions.

Quick Start

Enter your keyword and let the system query all 17 engines to return aggregated results.

Frequently Asked Questions about multi-search-engine

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I search across multiple search engines at once?

Privacy search across multiple engines is supported by querying 17 engines simultaneously, including privacy-focused options like DuckDuckGo. This allows comprehensive web research without compromising your data footprint or relying on tracked platforms.

Do I need API keys to query Google, Bing, and Baidu together?

No external API keys are required to query engines like Google, Bing, and Baidu together. The multi-engine search workflow operates without external dependencies, allowing immediate broad web queries across 17 integrated engines.

Can I use advanced search operators and time filters for competitor analysis?

Yes, advanced search operators and time filters are supported for competitor analysis. You can use site:, filetype:, exact phrases, and time-limited searches across 17 engines to refine market intelligence and comprehensive keyword exploration.

What is the best way to get computed knowledge results during a web search?

The best way to get computed knowledge results during a web search is to query WolframAlpha alongside standard engines. The multi-engine workflow integrates WolframAlpha knowledge queries to return calculated facts and aggregated web pages together.

Are there limitations when running broad web queries across CN and global engines?

A limitation of running broad web queries across CN and global engines is that aggregated results may overlap or vary by regional indexing. The 17-engine approach mitigates fragmentation but requires manual review to deduplicate relevant links.