multi-search-engine

Query 17 search engines with advanced operators and filters.

Updated Mar 20, 2026
One-click install
npx skills add https://github.com/s-k-y-h-i-g-h/OpenState --skill multi-search-engine-s-k-y-h-i-g-h
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: multi-search-engine
Source: https://github.com/s-k-y-h-i-g-h/OpenState/tree/main/skills/multi-search-engine
Command: npx skills add https://github.com/s-k-y-h-i-g-h/OpenState --skill multi-search-engine-s-k-y-h-i-g-h

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill provides users with access to 17 diverse search engines, enabling comprehensive web searches across multiple platforms and regions.

Core Features & Use Cases

  • Supports advanced search operators, site and filetype filters, and time constraints to refine search results.
  • Integrates domestic and international search engines, including Google, Bing, DuckDuckGo, and WolframAlpha.
  • Use case: Quickly find scholarly articles, technical documentation, or region-specific information using tailored searches on multiple engines simultaneously.

Quick Start

Ask the AI to search for recent AI research papers on Google and WolframAlpha using specific filters.

Frequently Asked Questions about multi-search-engine

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

FAQPage Schema
How do I use advanced search operators to filter web search results across multiple engines?

Advanced search operators filter web search results by applying site, filetype, and time constraints across multiple engines. This enables users to refine broad queries into precise results for technical or research inquiries.

Can I search for scholarly articles and technical documentation on specific sites simultaneously?

Yes, querying multiple engines like Google and WolframAlpha simultaneously with specific filters retrieves scholarly articles and technical documentation. This broadens source coverage while maintaining precision through applied constraints.

What is the best way to find region-specific information using international and domestic search engines?

Finding region-specific information requires querying domestic and international search engines with regional and language considerations. This approach ensures results reflect localized content from diverse platforms like Bing or DuckDuckGo.

Does multi-engine web search support time constraints and filetype filters for recent research papers?

Multi-engine web search supports time constraints and filetype filters to locate recent research papers. Applying these advanced operators across 17 diverse engines yields targeted, up-to-date academic and technical results.

How do complex filters work when querying multiple search engines for broad research inquiries?

Complex filters work by appending advanced operators to queries sent to multiple search engines. This mechanism maintains regional and language considerations while obtaining broad yet precise results for general research inquiries.

Why use a multi-engine search approach instead of a single search platform for technical inquiries?

A multi-engine search approach queries 17 diverse engines instead of a single search platform, obtaining broader coverage for technical inquiries. Integrating domestic and international sources ensures comprehensive, non-biased results.