generate

alirezarezvani/claude-skills · updated Apr 8, 2026

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$npx skills add https://github.com/alirezarezvani/claude-skills --skill generate
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summary

Generate production-ready Playwright tests from a user story, URL, component name, or feature description.

skill.md

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.ts for testDir, baseURL, projects
  • Check existing tests in testDir for 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.ts or storageState config)

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):

  1. getByRole() — buttons, links, headings, form elements
  2. getByLabel() — form fields with labels
  3. getByText() — non-interactive text content
  4. getByPlaceholder() — inputs with placeholder text
  5. getByTestId() — 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) or page.$$(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 await on every Playwright call
  • baseURL-relative navigation (page.goto('/') not page.goto('http://...'))

5. Match Project Conventions

  • If project uses TypeScript → generate .spec.ts
  • If project uses JavaScript → generate .spec.js with require() 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:

  1. Read the error
  2. Fix the test (not the app)
  3. Run again
  4. 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

How to use generate on Cursor

AI-first code editor with Composer

1

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
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/alirezarezvani/claude-skills --skill generate

The skills CLI fetches generate from GitHub repository alirezarezvani/claude-skills and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/generate

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

GET_STARTED →

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. 1.Install product management skill
  2. 2.Start with user story generation for known feature
  3. 3.Progress to competitive analysis: research 2-3 competitors
  4. 4.Use for roadmap prioritization: apply RICE/ICE scoring
  5. 5.Draft stakeholder communications and refine based on feedback
  6. 6.Build template library for recurring PM tasks
  7. 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

  1. 1Basic: user stories, feature specs, status updates
  2. 2Intermediate: competitive analysis, prioritization frameworks, PRDs
  3. 3Advanced: product strategy, go-to-market planning, OKR setting
  4. 4Expert: product vision, market positioning, business model innovation

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.538 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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