Developer guide for extending Playwright MCP tools and CLI commands.
Automate repetitive workflows and reduce manual effort
Example: Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Learn new skills, understand complex topics, get expert guidance
Example: Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Enhance output quality through reviews, suggestions, and refinements
Example: Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
Time estimate: 15-45 minutes depending on use case complexity
Prerequisites
Submit your Claude Code skill and start earning
epx add microsoft/playwright --skill playwright-mcp-devCompatible with
Supported agents
Add new MCP tools in packages/playwright/src/mcp/browser/tools/ , register in tools.ts , and define capabilities in config.d.ts
CLI commands map to MCP tools; register new commands in packages/playwright/src/mcp/terminal/commands.ts and update help generator if adding a category
Config options require updates across program.ts (CLI option), config.d.ts (definition), and config.ts (implementation and environment mapp
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionplaywright-mcp-devExecute the skills CLI command in your project's root directory to begin installation:
epx add microsoft/playwright --skill playwright-mcp-devFetches playwright-mcp-dev from microsoft/playwright and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
.cursor/skills/playwright-mcp-dev
Restart Cursor to activate playwright-mcp-dev. Access via /playwright-mcp-devin your agent's command palette.
Learn more:View source on GitHubSkills CLI docsAbout CursorWhat are agent skills?
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid when
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
playwright-generate-test
github/awesome-copilot · Testing · tag: playwright
qa-testing-playwright
vasilyu1983/ai-agents-public · Testing · tag: playwright
symfony:e2e-panther-playwright
makfly/superpowers-symfony · Testing · tag: playwright
java-dev
doccker/cc-use-exp · Backend · tag: dev
solana-dev
solana-foundation/solana-dev-skill · Productivity · tag: dev
shader-dev
minimax-ai/skills · Productivity · tag: dev
We added playwright-mcp-dev from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
playwright-mcp-dev fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
playwright-mcp-dev reduced setup friction for our internal harness; good balance of opinion and flexibility.
Keeps context tight: playwright-mcp-dev is the kind of skill you can hand to a new teammate without a long onboarding doc.
playwright-mcp-dev has been reliable in day-to-day use. Documentation quality is above average for community skills.
Registry listing for playwright-mcp-dev matched our evaluation — installs cleanly and behaves as described in the markdown.
Useful defaults in playwright-mcp-dev — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
I recommend playwright-mcp-dev for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
playwright-mcp-dev fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
I recommend playwright-mcp-dev for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
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