playwright-explore-website

Website exploration for testing using Playwright MCP

25 stars

Best use case

playwright-explore-website is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Website exploration for testing using Playwright MCP

Teams using playwright-explore-website 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/playwright-explore-website/SKILL.md --create-dirs "https://raw.githubusercontent.com/ComeOnOliver/skillshub/main/skills/github/awesome-copilot/playwright-explore-website/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/playwright-explore-website/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How playwright-explore-website Compares

Feature / Agentplaywright-explore-websiteStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Website exploration for testing using Playwright MCP

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

# Website Exploration for Testing

Your goal is to explore the website and identify key functionalities.

## Specific Instructions

1. Navigate to the provided URL using the Playwright MCP Server. If no URL is provided, ask the user to provide one.
2. Identify and interact with 3-5 core features or user flows.
3. Document the user interactions, relevant UI elements (and their locators), and the expected outcomes.
4. Close the browser context upon completion.
5. Provide a concise summary of your findings.
6. Propose and generate test cases based on the exploration.

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