playwright-best-practices
When running Playwright tests from Claude Code or any CLI agent, always use minimal reporters to prevent verbose output from consuming the context window.
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Install Skill
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Installation Guide
How to use playwright-best-practices on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your machine
- ›Node.js 16+ with npm — verify with
node --version - ›Active project directory where you want to add
playwright-best-practices
Run the install command
Execute the skills CLI command in your project's root directory to begin installation:
Fetches playwright-best-practices from 0xbigboss/claude-code and configures it for Cursor.
Select Cursor when prompted
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate playwright-best-practices. Access via /playwright-best-practices in your agent's command palette.
Security Notice
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
Documentation
Playwright Best Practices
CLI Context: Prevent Context Overflow
When running Playwright tests from Claude Code or any CLI agent, always use minimal reporters to prevent verbose output from consuming the context window.
Use --reporter=line or --reporter=dot for CLI test runs. Configure playwright.config.ts to default to minimal reporters when CI or CLAUDE env vars are set — see playwright-patterns.md for the config snippet.
Locator Priority (Most to Least Resilient)
Always prefer user-facing attributes:
page.getByRole('button', { name: 'Submit' })— accessibility rolespage.getByLabel('Email')— form control labelspage.getByPlaceholder('Search...')— input placeholderspage.getByText('Welcome')— visible text (non-interactive)page.getByAltText('Logo')— image alt textpage.getByTitle('Settings')— title attributespage.getByTestId('submit-btn')— explicit test contracts- CSS/XPath — last resort, avoid
Core Rules
- Web-first assertions: always
await expect(locator).toBeVisible(), neverexpect(await locator.isVisible()).toBe(true)— web-first matchers auto-wait and retry - Test isolation: each test creates its own data; never share state between tests
- Auth state reuse: save authenticated state via setup project +
storageState; never log in via UI in every test - Fixtures over beforeEach: fixtures encapsulate setup + teardown, run on-demand, and compose
Anti-Patterns
page.waitForTimeout(ms)— use auto-waiting locators insteadpage.locator('.class')— use role/label/testid- XPath selectors — fragile, use user-facing attributes
- Shared state between tests — each test creates own data
- UI login in every test — use setup project + storageState
- Manual assertions without await — use web-first assertions
- Hardcoded waits — rely on Playwright's auto-waiting
- Default reporter in CI/agent — use
--reporter=lineor--reporter=dot
Checklist
- Locators use role/label/testid, not CSS classes or XPath
- All assertions use
await expect()web-first matchers - Page objects define locators in constructor
- No
page.waitForTimeout()— use auto-waiting - Tests isolated — no shared state
- Auth state reused via setup project
- Network mocks set up before navigation
- Test data created per-test or via fixtures
- Debug logging added for complex flows
- Minimal reporter (
line/dot) used in CI/agent contexts
See playwright-patterns.md for Page Object Model, fixtures, network mocking, and configuration examples.
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Use Cases
Task Automation & Efficiency
Automate repetitive workflows and reduce manual effort
Example
Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Knowledge Enhancement
Learn new skills, understand complex topics, get expert guidance
Example
Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Quality Improvement
Enhance output quality through reviews, suggestions, and refinements
Example
Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
Implementation Guide
Prerequisites
- ›Claude Desktop or compatible AI client with skill support
- ›Clear understanding of task or problem to solve
- ›Willingness to iterate and refine outputs
Time Estimate
15-45 minutes depending on use case complexity
Steps
- 1Install skill using provided installation command
- 2Test with simple use case relevant to your work
- 3Evaluate output quality and relevance
- 4Iterate on prompts to improve results
- 5Integrate into regular workflow if valuable
Common Pitfalls
- ⚠Expecting perfect results without iteration
- ⚠Not providing enough context in prompts
- ⚠Using skill for tasks outside its intended scope
- ⚠Accepting outputs without review and validation
Best Practices
✓ Do
- +Start with clear, specific prompts
- +Provide relevant context and constraints
- +Review and refine all outputs before using
- +Iterate to improve output quality
- +Document successful prompt patterns
✗ Don't
- −Don't use without understanding skill limitations
- −Don't skip validation of outputs
- −Don't share sensitive information in prompts
- −Don't expect skill to replace human judgment
💡 Pro Tips
- ★Be specific about desired format and style
- ★Ask for multiple options to choose from
- ★Request explanations to understand reasoning
- ★Combine AI efficiency with human expertise
When to Use This
✓ 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.
Learning Path
- 1Familiarize yourself with skill capabilities and limitations
- 2Start with low-risk, non-critical tasks
- 3Progress to more complex and valuable use cases
- 4Build expertise through regular use and experimentation
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Reviews
- GGanesh Mohane★★★★★Dec 20, 2024
playwright-best-practices has been reliable in day-to-day use. Documentation quality is above average for community skills.
- AAisha Kapoor★★★★★Dec 16, 2024
Keeps context tight: playwright-best-practices is the kind of skill you can hand to a new teammate without a long onboarding doc.
- RRahul Santra★★★★★Nov 11, 2024
Keeps context tight: playwright-best-practices is the kind of skill you can hand to a new teammate without a long onboarding doc.
- KKofi Okafor★★★★★Nov 7, 2024
playwright-best-practices has been reliable in day-to-day use. Documentation quality is above average for community skills.
- DDaniel Haddad★★★★★Oct 26, 2024
playwright-best-practices fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- PPratham Ware★★★★★Oct 2, 2024
We added playwright-best-practices from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- PPiyush G★★★★★Sep 9, 2024
Useful defaults in playwright-best-practices — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- LLuis Malhotra★★★★★Sep 9, 2024
Keeps context tight: playwright-best-practices is the kind of skill you can hand to a new teammate without a long onboarding doc.
- KKofi Park★★★★★Sep 5, 2024
I recommend playwright-best-practices for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- SShikha Mishra★★★★★Aug 28, 2024
Registry listing for playwright-best-practices matched our evaluation — installs cleanly and behaves as described in the markdown.
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