Test Generator logo

Test Generator

Community
alirezarezvani
test-generator

Automatically suggest tests for new functions and components. Use when new code is written, functions added, or user mentions testing. Creates test scaffolding with Jest, Vitest, Pytest patterns. Triggers on new functions, components, test requests, testing mentions.

Overview

Publisheralirezarezvani
Repositoryclaude-code-tresor
Skill nametest-generator
Stars
777
Forks
169
Bundled files
Instructions only
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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

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

Installation

Install the Test Generator 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.
    https://github.com/alirezarezvani/claude-code-tresor/tree/main/skills/development/test-generator
  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/alirezarezvani/claude-code-tresor.git /tmp/claude-code-tresor
mkdir -p .claude/skills
cp -r /tmp/claude-code-tresor/skills/development/test-generator .claude/skills/test-generator
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Test Generator 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 Generator 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 Generator 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 Generator Skill

Auto-suggest tests when you write new code.

When I Activate

  • ✅ New function created
  • ✅ New component added
  • ✅ User mentions testing or tests
  • ✅ Test file missing for implementation
  • ✅ User asks "can you test this?"

What I Generate

Quick Test Scaffolding

  • Basic happy path tests
  • Null/undefined edge cases
  • Simple error scenarios
  • Framework-appropriate syntax (Jest/Vitest/Pytest)

What I Don't Do

  • Comprehensive test suites → Use @test-engineer sub-agent
  • Integration tests → Use @test-engineer sub-agent
  • E2E test design → Use @test-engineer sub-agent
  • Test strategy planning → Use @test-engineer sub-agent

Relationship with @test-engineer Sub-Agent

Me (Skill): Quick test scaffolding @test-engineer (Sub-Agent): Comprehensive testing strategy

Workflow

  1. You write a function
  2. I auto-generate basic test structure
  3. You want full suite → Invoke @test-engineer sub-agent
  4. Sub-agent creates comprehensive tests

Examples

JavaScript Function

javascript
// You write:
function calculateDiscount(price, percentage) {
  if (price <= 0) throw new Error('Invalid price');
  return price * (percentage / 100);
}

// I auto-generate:
describe('calculateDiscount', () => {
  it('calculates discount correctly', () => {
    expect(calculateDiscount(100, 10)).toBe(10);
  });

  it('throws error for invalid price', () => {
    expect(() => calculateDiscount(0, 10)).toThrow('Invalid price');
  });

  it('handles zero percentage', () => {
    expect(calculateDiscount(100, 0)).toBe(0);
  });

  // TODO: Add more edge cases
  // Consider: negative percentages, decimal values, very large numbers
});

React Component

jsx
// You write:
function UserCard({ user, onEdit }) {
  return (
    <div className="user-card">
      <h2>{user.name}</h2>
      <button onClick={() => onEdit(user.id)}>Edit</button>
    </div>
  );
}

// I auto-generate:
import { render, screen, fireEvent } from '@testing-library/react';

describe('UserCard', () => {
  const mockUser = { id: 1, name: 'John Doe' };
  const mockOnEdit = jest.fn();

  it('renders user name', () => {
    render(<UserCard user={mockUser} onEdit={mockOnEdit} />);
    expect(screen.getByText('John Doe')).toBeInTheDocument();
  });

  it('calls onEdit with user id when button clicked', () => {
    render(<UserCard user={mockUser} onEdit={mockOnEdit} />);
    fireEvent.click(screen.getByText('Edit'));
    expect(mockOnEdit).toHaveBeenCalledWith(1);
  });

  // TODO: Add tests for edge cases
  // - Missing user data
  // - Undefined onEdit
  // - Long names (UI testing)
});

Python Function

python
# You write:
def fetch_user_data(user_id: int) -> dict:
    if user_id <= 0:
        raise ValueError("Invalid user ID")
    return db.query("SELECT * FROM users WHERE id = ?", [user_id])

# I auto-generate:
import pytest

def test_fetch_user_data_success():
    """Test successful user data retrieval"""
    result = fetch_user_data(1)
    assert isinstance(result, dict)
    assert 'id' in result

def test_fetch_user_data_invalid_id():
    """Test with invalid user ID"""
    with pytest.raises(ValueError, match="Invalid user ID"):
        fetch_user_data(0)

def test_fetch_user_data_negative_id():
    """Test with negative ID"""
    with pytest.raises(ValueError):
        fetch_user_data(-1)

# TODO: Add integration tests with database
# TODO: Test database connection failures

Framework Detection

I automatically detect your testing framework:

  • JavaScript/TypeScript: Jest, Vitest, Mocha
  • Python: pytest, unittest
  • Java: JUnit
  • Go: testing package

Detection based on:

  • package.json dependencies
  • requirements.txt
  • Existing test files
  • Import statements

Test Patterns

Unit Tests

javascript
// Function testing
test('adds numbers correctly', () => {
  expect(add(2, 3)).toBe(5);
});

Component Tests

jsx
// React component testing
test('button click triggers callback', () => {
  const onClick = jest.fn();
  render(<Button onClick={onClick} />);
  fireEvent.click(screen.getByRole('button'));
  expect(onClick).toHaveBeenCalled();
});

Edge Cases

javascript
// Boundary testing
test('handles empty input', () => {
  expect(processData([])).toEqual([]);
});

test('handles null input', () => {
  expect(processData(null)).toBeNull();
});

When to Use Sub-Agent

Invoke @test-engineer for:

  • Complete test suites (20+ tests)
  • Integration test strategy
  • E2E test planning
  • Test coverage goals
  • Complex mocking scenarios

Example:

Me: "Generated 3 basic tests for calculateDiscount()"
You: "@test-engineer create comprehensive test suite with all edge cases"
Sub-agent: [Creates 25+ tests covering all scenarios]

Sandboxing Compatibility

Works without sandboxing: ✅ Yes Works with sandboxing: ✅ Yes

  • Filesystem: Writes test files to project
  • Network: None required
  • Configuration: None required

Customization

Edit test templates:

bash
cp -r ~/.claude/skills/development/test-generator \
      ~/.claude/skills/development/my-test-generator

# Edit SKILL.md to customize:
# - Test patterns
# - Framework preferences
# - Coverage expectations

Integration with Commands

/test-gen Command

bash
/test-gen --file utils.js --framework jest --coverage 90

# Combines:
# 1. My quick scaffolding
# 2. @test-engineer comprehensive tests
# 3. Full test file generation

Tips

  1. Let me scaffold first - Review before invoking sub-agent
  2. Add TODOs - I include TODO comments for complex cases
  3. Framework consistency - I match your project's testing style
  4. Quick iteration - Regenerate if not satisfied

Related Tools

  • @test-engineer: Comprehensive test suite creation
  • code-reviewer skill: Flags code that needs testing
  • /test-gen command: Full test generation workflow

Frequently asked questions

What does the Test Generator AI skill do?

Automatically suggest tests for new functions and components. Use when new code is written, functions added, or user mentions testing. Creates test scaffolding with Jest, Vitest, Pytest patterns. Triggers on new functions, components, test requests, testing mentions.

Why use Test Generator on TypingMind?

Because you install it once and use it with any model. Test Generator 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 Generator in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/alirezarezvani/claude-code-tresor/tree/main/skills/development/test-generator. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Test Generator?

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 Generator?

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

Is the Test Generator AI skill free?

Yes. It is published on GitHub by alirezarezvani 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.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇