ai-search-hub

Run browser automation scripts to query AI search platforms via a unified CLI.

1.2k|109|Updated Mar 12, 2026
One-click install
npx skills add https://github.com/minsight-ai-info/AI-Search-Hub --skill ai-search-hub-minsight-ai-info
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ai-search-hub
Source: https://github.com/minsight-ai-info/AI-Search-Hub/tree/main
Command: npx skills add https://github.com/minsight-ai-info/AI-Search-Hub --skill ai-search-hub-minsight-ai-info

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires playwright, and includes scripts (resource) components.

What problem does it solve?

Run automated, browser-based orchestration for AI search across Yuanbao, LongCat, Doubao, Qwen, Gemini, Grok, and MiniMax to obtain unified results without manual switchovers.

Core Features & Use Cases

  • Centralized routing and dispatch to multiple platform scripts from a single prompt.
  • Automatic Chrome DevTools session attachment, login handling, and isolated debugging profiles for seamless, repeatable runs.
  • Use cases include cross-platform topic exploration, sentiment monitoring, and structured result aggregation for agents and workflows.

Quick Start

Open a target chat site, run its browser automation script with a prompt, seed a debug profile, handle login if required, and return the final answer.

Frequently Asked Questions about ai-search-hub

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

FAQPage Schema
How do I automate AI search queries across multiple platforms like Gemini and Doubao?

Automating AI search queries across multiple platforms is handled by orchestrating browser scripts that dispatch a single prompt to Yuanbao, LongCat, Doubao, Qwen, Gemini, Grok, and MiniMax. A unified CLI wrapper manages the routing logic and returns aggregated answers without manual switchovers.

Do I need Playwright and local browser profiles to run automated browser-based AI search?

Playwright and local browser profiles are required to run automated browser-based AI search. The orchestration requires Python 3.10 or higher and uses isolated debugging profiles to manage login handling and maintain repeatable sessions across target chat sites.

Can I use Chrome DevTools to handle login sessions when running multi-platform AI search scripts?

Chrome DevTools session attachment is supported to handle login sessions when running multi-platform AI search scripts. The automation automatically attaches to active browser sessions, manages authentication for each platform, and uses isolated debugging profiles for seamless execution.

What is the best way to retrieve structured answers from different AI search sites in one run?

The best way to retrieve structured answers from different AI search sites is centralized routing and dispatch. A single prompt is sent to multiple platform scripts under the scripts directory, with routing logic referenced from a configuration file to aggregate results for agents and workflows.

Does cross-platform AI search orchestration work for sentiment monitoring and topic exploration?

Cross-platform AI search orchestration works for sentiment monitoring and topic exploration by querying Yuanbao, Qwen, Grok, and other supported platforms simultaneously. This approach retrieves unified results across platforms to support structured result aggregation for automated workflows.

Why does my automated AI search script require an isolated debugging profile for each chat site?

Automated AI search scripts require an isolated debugging profile for each chat site to manage individual login states and maintain browser session isolation. This ensures repeatable runs across different platforms without authentication conflicts or cross-site session contamination.