tdd-guide

Generate test cases and analyze coverage reports for TDD workflows.

Updated Mar 4, 2026

Search Tags:#testing #tdd #developer tools #refactoring #code generation #coverage analysis

Ready to run

npx skills add https://github.com/Tonybleything76/more-claude-skills --skill tdd-guide-tonybleything76

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: tdd-guide
Source: https://github.com/Tonybleything76/more-claude-skills/tree/main/engineering-team/tdd-guide
Command: npx skills add https://github.com/Tonybleything76/more-claude-skills --skill tdd-guide-tonybleything76

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires pytest, pytest-cov, pylint, mypy, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill streamlines the Test-Driven Development process by automating test generation, analyzing code coverage, and providing workflow guidance, significantly reducing the time and effort required for robust testing.

Core Features & Use Cases

Intelligent Test Generation: Convert requirements or existing code into comprehensive test cases for various frameworks (Jest, Pytest, JUnit, Vitest).
Coverage Analysis: Parse coverage reports (LCOV, JSON, XML) to identify gaps and prioritize improvements.
TDD Workflow Guidance: Step-by-step assistance through the Red-Green-Refactor cycle.
Use Case: A developer needs to implement a new user authentication module. They can use this Skill to generate initial test cases based on requirements, analyze coverage as they code, and receive guidance on refactoring to maintain test quality.

Quick Start

Use the tdd-guide skill to generate tests for a new user registration feature using Jest.

Frequently Asked Questions about tdd-guide

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I generate test cases from requirements for Pytest or Jest?▼

Test generation from requirements automates creating comprehensive test cases for frameworks like Pytest, Jest, JUnit, and Vitest by converting your specifications into executable test code.

What is the best way to identify code coverage gaps using LCOV or JSON reports?▼

Coverage analysis identifies code coverage gaps by parsing LCOV, JSON, or XML reports, helping you prioritize and improve untested areas in your codebase.

How do I follow the red-green-refactor cycle when doing test-driven development?▼

The red-green-refactor cycle in test-driven development is guided step-by-step, helping you write failing tests, implement passing code, and safely refactor while maintaining test quality.

Does this TDD workflow support both Python and JavaScript testing frameworks?▼

Yes, the TDD workflow supports multiple languages and testing frameworks including Jest, Pytest, JUnit, and Vitest for generating and managing your test cases.

Do I need pytest and pylint installed to use this test generation workflow?▼

Yes, the workflow depends on pytest, pytest-cov, pylint, and mypy to properly execute tests, analyze coverage, and guide the refactoring cycle.

Why should I use automated test generation instead of writing tests manually?▼

Automated test generation significantly reduces the time and effort required for robust testing by streamlining the process of creating comprehensive test cases from your existing requirements and code.