CBrowser

Automate cognitive browser navigation, interaction, and testing with self-healing selectors.

19|1|Updated Feb 2, 2026
One-click install
npx skills add https://github.com/alexandriashai/cbrowser --skill cbrowser
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: CBrowser
Source: https://github.com/alexandriashai/cbrowser/tree/main/skill
Command: npx skills add https://github.com/alexandriashai/cbrowser --skill cbrowser

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires playwright.

What problem does it solve?

CBrowser enables AI agents and developers to automate web tasks safely by modeling human cognition, providing self-healing selectors, and maintaining persistent sessions.

Core Features & Use Cases

  • AI-driven element interaction using multiple selector strategies (natural language, visual, ARIA, semantic, and CSS fallback) with self-healing capabilities.
  • Persona-driven testing and cognitive journeys to assess how real users would interact with a site, including abandonment detection and mood modeling.
  • Session management, credential vault, and a rich suite of Workflows (Navigate, Interact, Extract, Authenticate, Test, Journey).

Quick Start

Run a quick cognitive journey to verify a CTA on a sample site.

Frequently Asked Questions about CBrowser

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

FAQPage Schema
How do I automate browser testing when web elements change dynamically?

Browser automation can handle dynamically changing web elements by using self-healing selectors that automatically adjust to site updates. It applies multiple selector strategies, including natural language, visual, ARIA, and semantic fallbacks, to maintain reliable interaction.

Can I use Playwright to simulate real user journeys and moods during testing?

Playwright can simulate real user journeys by running persona-driven cognitive workflows that model human mood and detect abandonment. This approach assesses how real users interact with a site across dynamic and authenticated pages.

What is AI vision-based element resolution in web automation?

AI vision-based element resolution is a browser interaction mechanism that identifies and interacts with page elements using visual analysis. It serves as a fallback strategy alongside ARIA and CSS selectors to ensure robust automation.

How do I maintain authenticated sessions across multiple browser automation tasks?

You can maintain authenticated sessions across browser automation tasks using persistent session management and a credential vault. This allows AI agents to execute navigation, interaction, and data extraction securely across cross-browser sites.

Does cognitive browser automation provide safety constraints for AI agents?

Cognitive browser automation provides safety for AI agents by implementing a safety-backed action taxonomy. This constitutional safety framework governs how automation workflows execute navigation, interaction, and testing actions securely.

What is the best way to extract data from authenticated websites using browser automation?

The best way to extract data from authenticated websites is to use persistent sessions with a credential vault. This approach pairs authentication workflows with self-healing selectors to reliably extract data from dynamic, cross-browser sites.