multi-search-engine

Generate search URLs across 17 engines without API keys.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/xintuchain/tongtong --skill multi-search-engine-xintuchain
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: multi-search-engine
Source: https://github.com/xintuchain/tongtong/tree/main/skills/multi-search-engine
Command: npx skills add https://github.com/xintuchain/tongtong --skill multi-search-engine-xintuchain

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Centralizes access to 17 search engines (8 CN + 9 global) so you can perform comprehensive web searches without juggling multiple platforms or API keys.

Core Features & Use Cases

  • Unified multi-engine searching: run queries across domestic and international engines using deterministic URL templates.
  • Advanced search capabilities: leverage operators, time filters, site-specific queries, and privacy-oriented engines to refine results.
  • Knowledge queries: include WolframAlpha lookups for computational answers within your search workflow.
  • Use Case: researchers and developers can compare results, verify findings, and gather diverse perspectives from multiple engines with a single input.

Quick Start

To begin, provide a keyword to generate and open search URLs across all configured engines.

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 without API keys?

Multi-search-engine querying without API keys works by applying deterministic URL templates to generate and open search links across 17 configured engines. This approach centralizes access for cross-engine research without requiring authentication.

Can I do site-restricted searches and apply time filters across different search engines?

Yes, you can apply site-restricted searches and time filters using advanced search operators. The Skill applies these parameters via deterministic URL templates across 17 integrated engines to refine cross-engine research results.

What is the best way to combine general web search with WolframAlpha knowledge queries?

Integrating WolframAlpha lookups into your multi-engine search workflow allows you to combine computational answers with general web discovery. Running queries across 17 engines verifies findings alongside computational knowledge.

Does this multi-search-engine approach include privacy-focused browsing engines?

Yes, privacy-focused browsing engines are included in the 17 search engine configurations. You can leverage these privacy-oriented engines alongside standard domestic and international platforms for refined, cross-engine research.

What are the limitations of using URL templates for cross-engine research?

Using deterministic URL templates for cross-engine research means the Skill generates and opens search links rather than retrieving raw structured data. It guides implementation for cross-engine discovery without providing structured API response outputs.