multi-search-engine

Aggregate and query multiple CN search engines with advanced operators and time filters.

Updated Apr 20, 2026
One-click install
npx skills add https://github.com/Kraits/cxc-ace --skill multi-search-engine-kraits
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: multi-search-engine
Source: https://github.com/Kraits/cxc-ace/tree/main/skills-backup/multi-search-engine
Command: npx skills add https://github.com/Kraits/cxc-ace --skill multi-search-engine-kraits

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Centralizes access to CN search engines to empower researchers and developers to perform comprehensive web discovery without relying on individual API integrations.

Core Features & Use Cases

  • Orchestrates eight domestic CN search engines under a single query surface.
  • Supports advanced operators (site:, filetype:, intitle:, inurl:, etc.) and time-based filters for precise results.
  • Use Case: compare search results across CN engines for brand monitoring, market research, or competitive intelligence, including WeChat article searches.

Quick Start

Provide a keyword and trigger the multi-engine search across all CN 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 CN search engines without API keys?

You can search across CN search engines without API keys by providing a single keyword query to aggregate and fetch unified results from eight domestic engines simultaneously without individual API integrations.

Can I use advanced search operators like site: and filetype: for CN web discovery?

Yes, advanced search operators including site:, filetype:, intitle:, and inurl: are supported, allowing you to apply precise site-specific queries and time-based filters across aggregated CN search ecosystems.

What is the best way to find WeChat articles for competitive analysis?

The best way to find WeChat articles for competitive analysis is using a unified multi-engine query surface that applies specific operators and time filters to return targeted WeChat article search results.

Does multi-search support time filters for real-time research?

Yes, multi-search supports time-based filters for real-time research, enabling you to narrow down aggregated query results from domestic engines to specific timeframes for precise content discovery.

How do I configure the set of domestic search engines for market research?

You can configure the set of domestic search engines for market research by modifying the configurable engine set loaded from the SKILL.md file, tailoring the eight CN search ecosystems to your specific query requirements.