web-search

Automate multi-engine web search with automatic fallback across Chinese and English queries.

361|58|Updated Mar 1, 2026
One-click install
npx skills add https://github.com/OpenMinis/MinisSkills --skill web-search-openminis
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: web-search
Source: https://github.com/OpenMinis/MinisSkills/tree/main/web-search
Command: npx skills add https://github.com/OpenMinis/MinisSkills --skill web-search-openminis

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

Enables automated, multi-engine web search with automatic fallback to ensure reliable results when any single engine is blocked, slow, or returns poor quality.

Core Features & Use Cases

  • Orchestrates multiple engines (Perplexity, 秘塔AI, Google, Bing, Brave, DuckDuckGo, 百度, Sogou, Tavily) to retrieve web results.
  • Automatic fallback when results are unavailable, blocked, or suboptimal, with seamless switch to the next engine.
  • Supports Chinese and English queries and cross-engine result comparison for comprehensive coverage.
  • Use Case: a user asks for up-to-date information requiring diverse sources and robust verification.

Quick Start

Provide a real-time web search using multiple engines with automatic fallback when a result is blocked or unsatisfactory.

Frequently Asked Questions about web-search

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

FAQPage Schema
How does multi-engine web search with automatic fallback handle blocked results?

Multi-engine web search with automatic fallback orchestrates a configurable priority chain across search engines like Google, Bing, and Baidu. If an engine is blocked or returns poor quality, it seamlessly switches to the next available engine for reliable results.

Can I use automated web search for both Chinese and English real-time queries?

Yes, automated web search supports both Chinese and English real-time queries. It applies engine-specific searches across tools like Perplexity, 秘塔AI, and Sogou to retrieve diverse, up-to-date information across different languages.

What is the best way to configure a search engine priority chain for web search?

The best way to configure a search engine priority chain is to define the order of engines like DuckDuckGo, Brave, and Tavily based on your availability needs. The web search mechanism then uses this chain to determine fallback logic and clear success criteria.

How do I retrieve real-time web information when my primary search engine is slow?

To retrieve real-time web information when a primary search engine is slow, the web search fallback logic automatically detects the delay or suboptimal response. It then initiates a seamless switch to the next engine in the configured priority chain to ensure completion.

Does web search across multiple engines work for cross-engine result comparison?

Yes, web search across multiple engines works for cross-engine result comparison. By querying diverse sources like Google, Bing, and Perplexity, the mechanism ensures comprehensive coverage and robust verification for up-to-date information retrieval.