generate▌
alirezarezvani/claude-skills · updated Apr 8, 2026
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Generate production-ready Playwright tests from a user story, URL, component name, or feature description.
Generate Playwright Tests
Generate production-ready Playwright tests from a user story, URL, component name, or feature description.
Input
$ARGUMENTS contains what to test. Examples:
"user can log in with email and password""the checkout flow""src/components/UserProfile.tsx""the search page with filters"
Steps
1. Understand the Target
Parse $ARGUMENTS to determine:
- User story: Extract the behavior to verify
- Component path: Read the component source code
- Page/URL: Identify the route and its elements
- Feature name: Map to relevant app areas
2. Explore the Codebase
Use the Explore subagent to gather context:
- Read
playwright.config.tsfortestDir,baseURL,projects - Check existing tests in
testDirfor patterns, fixtures, and conventions - If a component path is given, read the component to understand its props, states, and interactions
- Check for existing page objects in
pages/ - Check for existing fixtures in
fixtures/ - Check for auth setup (
auth.setup.tsorstorageStateconfig)
3. Select Templates
Check templates/ in this plugin for matching patterns:
| If testing... | Load template from |
|---|---|
| Login/auth flow | templates/auth/login.md |
| CRUD operations | templates/crud/ |
| Checkout/payment | templates/checkout/ |
| Search/filter UI | templates/search/ |
| Form submission | templates/forms/ |
| Dashboard/data | templates/dashboard/ |
| Settings page | templates/settings/ |
| Onboarding flow | templates/onboarding/ |
| API endpoints | templates/api/ |
| Accessibility | templates/accessibility/ |
Adapt the template to the specific app — replace {{placeholders}} with actual selectors, URLs, and data.
4. Generate the Test
Follow these rules:
Structure:
import { test, expect } from '@playwright/test';
// Import custom fixtures if the project uses them
test.describe('Feature Name', () => {
// Group related behaviors
test('should <expected behavior>', async ({ page }) => {
// Arrange: navigate, set up state
// Act: perform user action
// Assert: verify outcome
});
});
Locator priority (use the first that works):
getByRole()— buttons, links, headings, form elementsgetByLabel()— form fields with labelsgetByText()— non-interactive text contentgetByPlaceholder()— inputs with placeholder textgetByTestId()— when semantic options aren't available
Assertions — always web-first:
// GOOD — auto-retries
await expect(page.getByRole('heading')).toBeVisible();
await expect(page.getByRole('alert')).toHaveText('Success');
// BAD — no retry
const text = await page.textContent('.msg');
expect(text).toBe('Success');
Never use:
page.waitForTimeout()page.$(selector)orpage.$$(selector)- Bare CSS selectors unless absolutely necessary
page.evaluate()for things locators can do
Always include:
- Descriptive test names that explain the behavior
- Error/edge case tests alongside happy path
- Proper
awaiton every Playwright call baseURL-relative navigation (page.goto('/')notpage.goto('http://...'))
5. Match Project Conventions
- If project uses TypeScript → generate
.spec.ts - If project uses JavaScript → generate
.spec.jswithrequire()imports - If project has page objects → use them instead of inline locators
- If project has custom fixtures → import and use them
- If project has a test data directory → create test data files there
6. Generate Supporting Files (If Needed)
- Page object: If the test touches 5+ unique locators on one page, create a page object
- Fixture: If the test needs shared setup (auth, data), create or extend a fixture
- Test data: If the test uses structured data, create a JSON file in
test-data/
7. Verify
Run the generated test:
npx playwright test <generated-file> --reporter=list
If it fails:
- Read the error
- Fix the test (not the app)
- Run again
- If it's an app issue, report it to the user
Output
- Generated test file(s) with path
- Any supporting files created (page objects, fixtures, data)
- Test run result
- Coverage note: what behaviors are now tested
How to use generate 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 development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add generate
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches generate from GitHub repository alirezarezvani/claude-skills and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate generate. Access the skill through slash commands (e.g., /generate) or your agent's skill management interface.
Security & Verification 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 development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
List & Monetize Your Skill
Submit your Claude Code skill and start earning
Use Cases▌
User Story & Requirements Generation
Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Competitive Analysis
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Roadmap Prioritization
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
Make data-driven prioritization decisions faster
Stakeholder Communication
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client
- ›Access to product documentation and roadmap tools (Jira, Notion, etc.)
- ›Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
- ›Stakeholder contact information and communication channels
Time Estimate
30-60 minutes to see productivity improvements
Installation Steps
- 1.Install product management skill
- 2.Start with user story generation for known feature
- 3.Progress to competitive analysis: research 2-3 competitors
- 4.Use for roadmap prioritization: apply RICE/ICE scoring
- 5.Draft stakeholder communications and refine based on feedback
- 6.Build template library for recurring PM tasks
- 7.Share effective prompts with product team
Common Pitfalls
- ⚠Not validating competitive research—verify facts before sharing
- ⚠Accepting user stories without involving engineering team
- ⚠Over-relying on frameworks without qualitative judgment
- ⚠Not customizing outputs to company culture and communication style
- ⚠Skipping stakeholder validation of generated requirements
Best Practices▌
✓ Do
- +Validate research and competitive analysis with real data
- +Collaborate with engineering when generating technical requirements
- +Customize frameworks and templates to your company context
- +Use skill for first drafts, refine with stakeholder input
- +Document successful prompt patterns for PM tasks
- +Combine AI efficiency with human judgment and intuition
✗ Don't
- −Don't publish competitive analysis without fact-checking
- −Don't finalize user stories without engineering review
- −Don't make prioritization decisions solely on AI scoring
- −Don't skip customer validation of generated requirements
- −Don't ignore company-specific context and culture
💡 Pro Tips
- ★Provide context: company goals, constraints, customer feedback
- ★Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
- ★Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
- ★Use skill for 70% generation + 30% customization to company needs
When to Use This▌
✓ Use When
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid When
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
Learning Path▌
- 1Basic: user stories, feature specs, status updates
- 2Intermediate: competitive analysis, prioritization frameworks, PRDs
- 3Advanced: product strategy, go-to-market planning, OKR setting
- 4Expert: product vision, market positioning, business model innovation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.5★★★★★38 reviews- ★★★★★Min Ghosh· Dec 20, 2024
Keeps context tight: generate is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Xiao Ghosh· Dec 16, 2024
generate fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Nia Mehta· Dec 16, 2024
Registry listing for generate matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Advait Gupta· Nov 7, 2024
generate is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Nia Jain· Nov 7, 2024
generate reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Rahul Santra· Nov 3, 2024
Keeps context tight: generate is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Advait Desai· Oct 26, 2024
Solid pick for teams standardizing on skills: generate is focused, and the summary matches what you get after install.
- ★★★★★Kaira Park· Oct 26, 2024
We added generate from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Pratham Ware· Oct 22, 2024
I recommend generate for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Sakshi Patil· Sep 9, 2024
generate reduced setup friction for our internal harness; good balance of opinion and flexibility.
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