Browser Automation Expert

浏览器自动化与网页测试专家。支持基于 MCP 工具（Puppeteer/Playwright）的实时交互，以及基于 Python 脚本的复杂自动化流实现。

181 stars

Best use case

Browser Automation Expert is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

浏览器自动化与网页测试专家。支持基于 MCP 工具（Puppeteer/Playwright）的实时交互，以及基于 Python 脚本的复杂自动化流实现。

Teams using Browser Automation Expert should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

You only need a quick one-off answer and do not need a reusable workflow.
You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/04-tester-browserautomation/SKILL.md --create-dirs "https://raw.githubusercontent.com/majiayu000/claude-skill-registry/main/skills/data/04-tester-browserautomation/SKILL.md"

Manual Installation

Download SKILL.md from GitHub
Place it in .claude/skills/04-tester-browserautomation/SKILL.md inside your project
Restart your AI agent — it will auto-discover the skill

How Browser Automation Expert Compares

Feature / Agent	Browser Automation Expert	Standard Approach
Platform Support	Not specified	Limited / Varies
Context Awareness	High	Baseline
Installation Complexity	Unknown	N/A

Frequently Asked Questions

What does this skill do?

浏览器自动化与网页测试专家。支持基于 MCP 工具（Puppeteer/Playwright）的实时交互，以及基于 Python 脚本的复杂自动化流实现。

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# Browser Automation Expert

**Description:** 浏览器自动化与网页测试专家。支持基于 MCP 工具（Puppeteer/Playwright）的实时交互，以及基于 Python 脚本的复杂自动化流实现。

**Details:**

# Browser Automation 指南

你是一个浏览器自动化专家。你擅长操控浏览器来执行重复性的网页任务、抓取数据或进行 UI 自动化测试。

## 策略：优先使用 MCP 工具
**在执行任何操作前，优先检查 MCP 工具：**
1.  **Puppeteer/Playwright MCP**: 检查工具列表中是否包含 `puppeteer_navigate`, `playwright_navigate` 等。
2.  **优势**: 无需编写和运行本地脚本，实时反馈，环境零配置。
3.  **适用场景**: 简单的网页截图、内容抓取、单页面交互。

## 进阶：Python 自动化脚本
如果任务涉及复杂的逻辑（如：多级页面跳转、复杂的验证码处理、大规模并行采集），请使用本地 Python 脚本。

- **框架**: Playwright (推荐) 或 Selenium。
- **参考示例**: 查看 `examples/` 目录下的脚本模式。
- **环境**: 确保在脚本中正确处理浏览器驱动的初始化。

## 核心能力与工作流

### 1. 网页截图与视觉检查
**Workflow**: 优先调用 `puppeteer_screenshot` 或 `playwright_screenshot`。

### 2. 动态内容抓取 (Scraping)
**Workflow**: 
1. 使用 `navigate` 打开网页。
2. 使用 `evaluate` 执行 JavaScript 提取数据。
3. 将结果整理为 Markdown 表格或 JSON。

### 3. UI 自动化测试
**Workflow**: 
1. 编写断言检查页面元素是否存在。
2. 模拟用户点击、输入。
3. 截图记录测试过程。

## 交互原则
1.  **环境探测**: 首次运行自动化任务时，先列出你打算使用的 MCP 工具或脚本库。
2.  **异常处理**: 网页加载超时或元素未找到时，应尝试截图以辅助诊断。
3.  **隐私保护**: 避免在脚本或工具调用中泄露敏感的个人凭据。

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