Pw

Playwright Pro

Production-grade Playwright testing toolkit for AI coding agents.

Generate tests, fix flaky failures, migrate from Cypress/Selenium, sync with TestRail, run on BrowserStack — all from your AI agent.

Install

# Claude Code plugin
claude plugin install pw@claude-skills

# Or load directly
claude --plugin-dir ./engineering-team/playwright-pro

Commands

Command	What it does
/pw:init	Set up Playwright in your project — detects framework, generates config, CI, first test
/pw:generate <spec>	Generate tests from a user story, URL, or component name
/pw:review	Review existing tests for anti-patterns and coverage gaps
/pw:fix <test>	Diagnose and fix a failing or flaky test
/pw:migrate	Migrate from Cypress or Selenium to Playwright
/pw:coverage	Analyze what's tested vs. what's missing
/pw:testrail	Sync with TestRail — read cases, push results, create runs
/pw:browserstack	Run tests on BrowserStack, pull cross-browser reports
/pw:report	Generate a test report in your preferred format

Quick Start

# In Claude Code:
/pw:init                              # Set up Playwright
/pw:generate "user can log in"        # Generate your first test
# Tests are auto-validated by hooks — no extra steps

What's Inside

9 Skills

Slash commands that turn natural language into production-ready Playwright tests. Each skill leverages Claude Code's built-in capabilities (/batch for parallel work, Explore for codebase analysis, /debug for trace inspection).

3 Specialized Agents

• test-architect — Plans test strategy for complex applications
• test-debugger — Diagnoses flaky tests using a systematic taxonomy
• migration-planner — Creates file-by-file migration plans from Cypress/Selenium

55 Test Templates

Ready-to-use, parametrizable templates covering:

Category	Count	Examples
Authentication	8	Login, logout, SSO, MFA, password reset, RBAC
CRUD	6	Create, read, update, delete, bulk ops
Checkout	6	Cart, payment, coupon, order history
Search	5	Basic search, filters, sorting, pagination
Forms	6	Multi-step, validation, file upload
Dashboard	5	Data loading, charts, export
Settings	4	Profile, password, notifications
Onboarding	4	Registration, email verify, welcome tour
Notifications	3	In-app, toast, notification center
API	5	REST CRUD, GraphQL, error handling
Accessibility	3	Keyboard nav, screen reader, contrast

2 MCP Integrations

• TestRail — Read test cases, create runs, push pass/fail results
• BrowserStack — Trigger cross-browser runs, pull session reports with video/screenshots

Smart Hooks

• Auto-validates test quality when you write *.spec.ts files
• Auto-detects Playwright projects on session start
• Zero configuration required

Integrations Setup

TestRail (Optional)

Set environment variables:

export TESTRAIL_URL="https://your-instance.testrail.io"
export TESTRAIL_USER="your@email.com"
export TESTRAIL_API_KEY="your-api-key"

Then use /pw:testrail to sync test cases and push results.

BrowserStack (Optional)

export BROWSERSTACK_USERNAME="your-username"
export BROWSERSTACK_ACCESS_KEY="your-access-key"

Then use /pw:browserstack to run tests across browsers.

Works With

Agent	How
Claude Code	Full plugin — slash commands, MCP tools, hooks, agents
Codex CLI	Copy CLAUDE.md to your project root as AGENTS.md
OpenClaw	Use as a skill with SKILL.md entry point

Built-in Command Integration

Playwright Pro doesn't reinvent what your AI agent already does. It orchestrates built-in capabilities:

• /pw:generate uses Claude's Explore subagent to understand your codebase before generating tests
• /pw:migrate uses /batch for parallel file-by-file conversion on large test suites
• /pw:fix uses /debug for trace analysis alongside Playwright-specific diagnostics
• /pw:review extends /review with Playwright anti-pattern detection

Reference

Based on battle-tested patterns from production test suites. Includes curated guidance on:

• Locator strategies and priority hierarchy
• Assertion patterns and auto-retry behavior
• Fixture architecture and composition
• Common pitfalls (top 20, ranked by frequency)
• Flaky test diagnosis taxonomy

License

MIT