test-automator

charon-fan/agent-playbook · updated Apr 8, 2026

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$npx skills add https://github.com/charon-fan/agent-playbook --skill test-automator
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summary

Expert in creating and maintaining automated tests for various frameworks and languages.

skill.md

Test Automator

Expert in creating and maintaining automated tests for various frameworks and languages.

When This Skill Activates

Activates when you:

  • Ask to write tests
  • Mention test automation
  • Request test coverage improvement
  • Need to set up testing framework

Testing Pyramid

        /\
       /E2E\      - Few, expensive, slow
      /------\
     /  Integration \ - Moderate number
    /--------------\
   /     Unit Tests  \ - Many, cheap, fast
  /------------------\

Unit Testing

Principles

  1. Test behavior, not implementation
  2. One assertion per test (generally)
  3. Arrange-Act-Assert pattern
  4. Descriptive test names

Example (Jest)

describe('UserService', () => {
  describe('createUser', () => {
    it('should create a user with valid data', async () => {
      // Arrange
      const userData = {
        name: 'John Doe',
        email: '[email protected]'
      };

      // Act
      const user = await userService.create(userData);

      // Assert
      expect(user.id).toBeDefined();
      expect(user.email).toBe(userData.email);
    });

    it('should throw error for invalid email', async () => {
      // Arrange
      const userData = { email: 'invalid' };

      // Act & Assert
      await expect(userService.create(userData))
        .rejects.toThrow('Invalid email');
    });
  });
});

Integration Testing

Principles

  1. Test component interactions
  2. Use test doubles for external services
  3. Clean up test data
  4. Run in isolation

Example (Supertest)

describe('POST /api/users', () => {
  it('should create a user', async () => {
    const response = await request(app)
      .post('/api/users')
      .send({
        name: 'John Doe',
        email: '[email protected]'
      })
      .expect(201)
      .expect((res) => {
        expect(res.body.id).toBeDefined();
        expect(res.body.email).toBe('[email protected]');
      });
  });
});

E2E Testing

Principles

  1. Test critical user flows
  2. Use realistic test data
  3. Handle async operations properly
  4. Clean up after tests

Example (Playwright)

test('user can login', async ({ page }) => {
  await page.goto('/login');
  await page.fill('[name="email"]', '[email protected]');
  await page.fill('[name="password"]', 'password123');
  await page.click('button[type="submit"]');

  await expect(page).toHaveURL('/dashboard');
  await expect(page.locator('h1')).toContainText('Welcome');
});

Test Coverage

Coverage Goals

Type Target
Lines > 80%
Branches > 75%
Functions > 80%
Statements > 80%

Coverage Reports

# Jest
npm test -- --coverage

# Python (pytest-cov)
pytest --cov=src --cov-report=html

# Go
go test -coverprofile=coverage.out
go tool cover -html=coverage.out

Testing Best Practices

DO's

  • Write tests before fixing bugs (TDD)
  • Test edge cases
  • Keep tests independent
  • Use descriptive test names
  • Mock external dependencies
  • Clean up test data

DON'Ts

  • Don't test implementation details
  • Don't write brittle tests
  • Don't skip tests without a reason
  • Don't commit commented-out tests
  • Don't test third-party libraries

Test Naming Conventions

// Good: Describes what is being tested
it('should reject invalid email addresses')

// Good: Describes the scenario and outcome
it('returns 401 when user provides invalid credentials')

// Bad: Vague
it('works correctly')

Common Testing Frameworks

Language Framework Command
TypeScript/JS Jest, Vitest npm test
Python pytest pytest
Go testing go test
Java JUnit mvn test
Rust built-in cargo test

Scripts

Generate test boilerplate:

python scripts/generate_test.py <filename>

Check test coverage:

python scripts/coverage_report.py

References

  • references/best-practices.md - Testing best practices
  • references/examples/ - Framework-specific examples
  • references/mocking.md - Mocking guidelines
how to use test-automator

How to use test-automator 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 test-automator
2

Execute installation command

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

$npx skills add https://github.com/charon-fan/agent-playbook --skill test-automator

The skills CLI fetches test-automator from GitHub repository charon-fan/agent-playbook 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/test-automator

Reload or restart Cursor to activate test-automator. Access the skill through slash commands (e.g., /test-automator) 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

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

Installation Steps

  1. 1.Install skill using provided installation command
  2. 2.Test with simple use case relevant to your work
  3. 3.Evaluate output quality and relevance
  4. 4.Iterate on prompts to improve results
  5. 5.Integrate 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

  1. 1Familiarize yourself with skill capabilities and limitations
  2. 2Start with low-risk, non-critical tasks
  3. 3Progress to more complex and valuable use cases
  4. 4Build expertise through regular use and experimentation

Discussion

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

Ratings

4.663 reviews
  • Nia Huang· Dec 28, 2024

    Keeps context tight: test-automator is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • William Martin· Dec 20, 2024

    I recommend test-automator for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Ganesh Mohane· Dec 16, 2024

    test-automator reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Sakura Park· Dec 8, 2024

    Useful defaults in test-automator — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Dev Johnson· Dec 4, 2024

    test-automator reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Nia Kim· Nov 27, 2024

    Registry listing for test-automator matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Luis Mensah· Nov 23, 2024

    I recommend test-automator for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Ren Haddad· Nov 19, 2024

    test-automator has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Yash Thakker· Nov 15, 2024

    We added test-automator from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • William Yang· Nov 11, 2024

    test-automator reduced setup friction for our internal harness; good balance of opinion and flexibility.

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