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Test Automator

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zhaono1
test-automator

Test automation framework expert for creating and maintaining automated tests. Use when user asks to write tests, automate testing, or improve test coverage.

Overview

Publisherzhaono1
Repositoryagent-playbook
Skill nametest-automator
Stars
79
Forks
12
Bundled files
5
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 5 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by zhaono1 on GitHub. Read the source before you install it.

Installation

Install the Test Automator AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/zhaono1/agent-playbook.git /tmp/agent-playbook
mkdir -p .claude/skills
cp -r /tmp/agent-playbook/skills/test-automator .claude/skills/test-automator
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Test Automator in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Test Automator on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Test Automator is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

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)

typescript
describe('UserService', () => {
  describe('createUser', () => {
    it('should create a user with valid data', async () => {
      // Arrange
      const userData = {
        name: 'John Doe',
        email: 'john@example.com'
      };

      // 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)

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

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)

typescript
test('user can login', async ({ page }) => {
  await page.goto('/login');
  await page.fill('[name="email"]', 'user@example.com');
  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

TypeTarget
Lines> 80%
Branches> 75%
Functions> 80%
Statements> 80%

Coverage Reports

bash
# 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

typescript
// 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

LanguageFrameworkCommand
TypeScript/JSJest, Vitestnpm test
Pythonpytestpytest
Gotestinggo test
JavaJUnitmvn test
Rustbuilt-incargo test

Scripts

Generate test boilerplate:

bash
python3 scripts/generate_test.py --name <feature> --output tests/test-plan.md

Check test coverage:

bash
python3 scripts/coverage_report.py --name <service-name> --output coverage-report.md

References

  • references/best-practices.md - Testing best practices
  • references/examples/ - Framework-specific examples
  • references/mocking.md - Mocking guidelines

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Test Automator AI skill do?

Test automation framework expert for creating and maintaining automated tests. Use when user asks to write tests, automate testing, or improve test coverage.

Why use Test Automator on TypingMind?

Because you install it once and use it with any model. Test Automator is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Test Automator in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/zhaono1/agent-playbook/tree/main/skills/test-automator. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Test Automator?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Test Automator?

As many as you like. As long as a model supports skills, you can use Test Automator with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Test Automator AI skill free?

Yes. It is published on GitHub by zhaono1 under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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