test-driven-development

🥈Silver

The test-driven-development Claude Code skill streamlines the software development process by emphasizing writing tests before code implementation. This approach enhances code quality and reduces debugging time, ultimately leading to faster project delivery.

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Intermediate30min to implementdevelopment

Saves ~45 min per use

Quick InstallView Source

git clone https://github.com/obra/superpowers.git

Works with:

Claude

Overview

About This Skill

The test-driven-development skill for Claude Code is designed to integrate test-driven practices into your software development workflow. By writing tests before the actual code, developers can ensure that the code meets its requirements from the outset. This proactive approach not only improves code quality but also facilitates easier maintenance and scalability of applications. One of the key benefits of using this skill is the significant time savings it offers. By identifying issues early in the development process, teams can avoid the costly and time-consuming debugging phases that often occur when tests are written after the code. This leads to a more efficient workflow, allowing developers to focus on delivering features rather than fixing bugs. This skill is particularly beneficial for developers, product managers, and AI practitioners who are looking to implement robust testing frameworks in their projects. It is suitable for teams of all sizes, from startups to large enterprises, and can be integrated into existing workflows with minimal disruption. For example, a development team working on a new feature can use this skill to create unit tests that validate functionality before the code is even written, ensuring that the final product meets user expectations. Implementation of the test-driven-development skill is straightforward, making it accessible for teams with varying levels of expertise. It fits seamlessly into AI-first workflows by promoting a culture of quality assurance and continuous integration, which are essential in today's fast-paced development environments. By adopting this skill, teams can enhance their productivity and deliver high-quality software solutions more efficiently.

Use Cases

Create unit tests for new features before coding to ensure functionality from the start.

Integrate testing frameworks into continuous integration pipelines for automated testing.

Ensure code quality in collaborative development environments by establishing testing standards.

Reduce debugging time for complex applications by identifying issues early through tests.

Setup & Installation

Quick Install

No install command available. Check the GitHub repository for manual installation instructions.

Alternative Install (Git Clone)

git clone https://github.com/obra/superpowers

Requirements

Claude Code or compatible AI agent
Works with: Claude

Quick Start Guide

Install the Skill

Copy the install command above and run it in your terminal.

Open Your AI Agent

Launch Claude Code, Cursor, or your preferred AI coding agent.

Try It Out

Use the prompt template or examples below to test the skill.

Customize

Adapt the skill to your specific use case and workflow.

Usage Examples

Prompt Template

Create a test suite for the [PROGRAMMING_LANGUAGE] application that includes unit tests for the [FUNCTIONALITY] feature. Ensure that the tests cover edge cases and include assertions for expected outcomes. Provide a brief explanation of each test case and its purpose.

Example Output

Here is a test suite for a Python application that implements a user authentication feature. The suite includes tests for successful login, failed login due to incorrect password, and edge cases such as empty username and password fields. 

```python
import unittest
from app import authenticate_user

class TestUserAuthentication(unittest.TestCase):
    def test_successful_login(self):
        result = authenticate_user('validUser', 'validPassword')
        self.assertTrue(result)

    def test_failed_login_incorrect_password(self):
        result = authenticate_user('validUser', 'wrongPassword')
        self.assertFalse(result)

    def test_failed_login_empty_username(self):
        result = authenticate_user('', 'somePassword')
        self.assertFalse(result)

    def test_failed_login_empty_password(self):
        result = authenticate_user('validUser', '')
        self.assertFalse(result)

if __name__ == '__main__':
    unittest.main()
```

This test suite ensures that the user authentication feature behaves as expected under various scenarios, improving the reliability of the application.