browsing-with-playwright
Browser automation using Playwright MCP. Navigate websites, fill forms, click elements,take screenshots, and extract data. Use when tasks require web browsing, form submission,web scraping, UI testing, or any browser interaction. NOT when only fetching staticcontent (use curl/wget instead).
Third-Party Agent Skill: Review the code before installing. Agent skills execute in your AI assistant's environment and can access your files. Learn more about security
Installation for Agentic Skill
View all platforms →skilz install mjunaidca/mjs-agent-skills/browsing-with-playwrightskilz install mjunaidca/mjs-agent-skills/browsing-with-playwright --agent opencodeskilz install mjunaidca/mjs-agent-skills/browsing-with-playwright --agent codexskilz install mjunaidca/mjs-agent-skills/browsing-with-playwright --agent geminiFirst time? Install Skilz: pip install skilz
Works with 22+ AI coding assistants
Cursor, Aider, Copilot, Windsurf, Qwen, Kimi, and more...
Extract and copy to ~/.claude/skills/ then restart Claude Desktop
git clone https://github.com/mjunaidca/mjs-agent-skillscp -r mjs-agent-skills/.claude/skills/browsing-with-playwright ~/.claude/skills/Need detailed installation help? Check our platform-specific guides:
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Agentic Skill Details
- Repository
- mjs-agent-skills
- Stars
- 1
- Forks
- 2
- Type
- Technical
- Meta-Domain
- development
- Primary Domain
- testing
- Market Score
- 17
Agent Skill Grade
B Score: 89/100 Click to see breakdown
Score Breakdown
Areas to Improve
- Missing TOC in 843-line reference file
- Inconsistent voice in description field
- Workflow clarity lacks conditional logic
Recommendations
- Add trigger phrases to description for discoverability
- Add table of contents for files over 100 lines
Graded: 2026-01-24
Developer Feedback
I was curious how you'd approach browser automation at this scale—the Playwright integration here strikes a solid balance between abstraction and flexibility that most guides skip over.
Links:
The TL;DR
You're at 89/100, solidly in B territory—production-ready with a few polish opportunities. This is graded against Anthropic's skill best practices.
Strongest: Your writing style is crisp and direct (9/10)—purely instructional, no marketing fluff. The layered architecture is clean too: quick reference in SKILL.md, detailed tool schemas in the 843-line reference file.
Needs work: That reference file is a navigation nightmare without a TOC. And you're leaving points on the table with minimal workflows—the two you have (Form Submission, Data Extraction) are helpful but lack conditional logic and error-handling patterns.
What's Working Well
- 22 tools, clear schema: Each tool has parameter descriptions and examples. The
browser_navigate,browser_fill,browser_execute_scripttrio covers the major use cases cleanly. - Solid metadata: Name follows conventions, triggers like 'web scraping' and 'UI testing' are appropriate, and the NOT condition (explicitly saying it's not for curl/wget) sets good boundaries.
- Practical feedback loops: The troubleshooting table (lines 153-159) is a nice touch—"Element not found → Run snapshot first" tells people how to recover from real failures.
- Consistent terminology: You stick with 'ref' for element references and 'snapshot' for page state throughout, which makes the skill feel coherent.
The Big One: Missing Navigation in Your Reference Fi...
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