browser-use-e2e

Translate natural language test tasks into automated browser interactions.

2|Updated Jan 6, 2026
One-click install
npx skills add https://github.com/citadelgrad/scott-cc --skill browser-use-e2e
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: browser-use-e2e
Source: https://github.com/citadelgrad/scott-cc/tree/main/plugins/browser-automation/skills/browser-use-e2e
Command: npx skills add https://github.com/citadelgrad/scott-cc --skill browser-use-e2e

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill enables automated end-to-end browser testing by translating natural language test scenarios into AI-driven browser interactions while securely handling credentials for authenticated flows.

Core Features & Use Cases

  • Automated E2E Testing: Generate and run end-to-end browser tests using the browser-use framework with AI guidance.
  • Credential Handling: Secure management of credentials via .env.test and domain prefixes for test accounts.
  • Use Case: Validate a login flow and user journey across a web app by generating test steps from natural language.

Quick Start

Install browser-use and python-dotenv, configure a test environment with environment variables, then run a simple login scenario using the AI agent and Browser.

Frequently Asked Questions about browser-use-e2e

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

FAQPage Schema
How do I automate end-to-end browser tests using natural language?

You can automate end-to-end browser tests by translating natural language test scenarios into AI-driven browser interactions. This allows you to validate user journeys across web apps without writing manual test scripts.

How do I handle credentials for authenticated test flows in browser automation?

Credential management for authenticated flows is handled securely using .env.test files and domain prefixes. This ensures test account credentials are loaded safely without exposing sensitive information during automated runs.

Can I generate pytest scripts from natural language for e2e-testing?

Yes, you can generate test steps from natural language scenarios. The skill translates these instructions into actionable browser interactions to validate login flows and user journeys across web apps.

Do I need the browser-use library to run AI-driven browser automation?

Yes, you need to install the browser-use library and python-dotenv. Once installed, you can execute the automated browser tests using the uv and uvx commands.

What is the best way to validate a login flow and user journey across a web app?

The best way to validate a login flow is by generating test steps from natural language. The AI agent interacts with the browser to execute the authenticated user journey and verify the outcome.

Why use AI-driven browser interactions instead of traditional e2e-testing scripts?

AI-driven browser interactions adapt to UI changes better than traditional scripts. By translating natural language directly into actions, you reduce test maintenance and simplify the validation of complex web app flows.