10x-chat

Automate cross-provider AI interactions through a browser-based agent hub.

42|10|Updated Feb 22, 2026
One-click install
npx skills add https://github.com/MikeChongCan/10x-chat --skill 10x-chat
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: 10x-chat
Source: https://github.com/MikeChongCan/10x-chat/tree/main/skills/10x-chat
Command: npx skills add https://github.com/MikeChongCan/10x-chat --skill 10x-chat

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Chat with multiple web AI agents via automated browser sessions to obtain diverse perspectives, streamline cross-model workflows, and enable media generation and deep research without manual browsing.

Core Features & Use Cases

  • Cross-provider prompts: compare answers from ChatGPT, Gemini, Claude, Grok, Perplexity, and NotebookLM in a single workflow.
  • Persistent sessions & media generation: reuse a single browser session for consistent context and produce images or perform deep research.
  • Real-world use case: debug code or review knowledge by aggregating insights from multiple models and summarizing findings.

Quick Start

Log in to a provider once, then run a chat prompt with optional file context to compare results across models.

Frequently Asked Questions about 10x-chat

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

FAQPage Schema
How do I compare answers from multiple AI models like ChatGPT and Gemini in one workflow?

Cross-provider prompts enable you to compare answers from ChatGPT, Gemini, Claude, Grok, Perplexity, and NotebookLM in a single automated browser workflow. You can aggregate insights from multiple models to debug code or cross-check knowledge.

Can I reuse browser sessions to maintain context across AI chat interactions?

Yes, you can reuse a single browser session for consistent context through persisted sessions. This browser-based agent hub implements login persistence, allowing you to maintain state across multiple interactions without manual browsing.

How do I automate image generation and deep research across different web AI agents?

Automated browser interactions support media generation and deep research across multiple AI models. You can run chat prompts with optional file context to produce images or perform deep research without manual browsing.

Does automated browser interaction support headful browsing with timeout management?

Yes, the automation implements safe, headful browsing with timeout and login persistence. This ensures reliable web automation sessions while managing provider interactions across different AI platforms.

What is the best way to debug code using insights from multiple AI providers?

Aggregate insights from multiple models by running cross-provider prompts to debug code or review knowledge. The automated browser sessions streamline cross-model workflows, allowing you to summarize findings from diverse AI perspectives.

Do I need to log in to each AI provider separately before running automated chat prompts?

You log in to a provider once, then run a chat prompt with optional file context. The persisted sessions and login persistence eliminate the need for repeated manual authentication during cross-model interactions.