tdd-guide

Generate unit tests and analyze coverage gaps across multiple languages and frameworks.

2|Updated Mar 13, 2026

Search Tags:#testing #tdd #pytest #code generation #jest #coverage analysis

Ready to run

npx skills add https://github.com/zhangzhang-111-i/claude-skills111 --skill tdd-guide-zhangzhang-111-i

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: tdd-guide
Source: https://github.com/zhangzhang-111-i/claude-skills111/tree/main/engineering-team/tdd-guide
Command: npx skills add https://github.com/zhangzhang-111-i/claude-skills111 --skill tdd-guide-zhangzhang-111-i

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill 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 coverage gaps, and providing guided workflows, helping developers write higher-quality tests and improve code reliability.

Core Features & Use Cases

Intelligent Test Generation: Create unit tests from code or requirements across multiple languages and frameworks (Jest, Pytest, JUnit, Vitest).
Coverage Analysis: Parse LCOV, JSON, or XML reports to identify and prioritize uncovered code paths.
TDD Workflow Guidance: Step-by-step assistance through the Red-Green-Refactor cycle.
Use Case: A developer needs to implement a new authentication module. They can use this Skill to generate initial test cases, write minimal code to pass them, and then refactor confidently, ensuring high test coverage and adherence to TDD principles.

Quick Start

Use the tdd-guide skill to generate unit tests for the provided TypeScript code 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 unit tests automatically for TypeScript and Python code?▼

Automated unit test generation supports TypeScript, Python, and Java code by creating test cases from your existing code or requirements using frameworks like Jest, Pytest, JUnit, and Vitest.

How do I identify uncovered code paths from LCOV or JSON coverage reports?▼

Coverage analysis parses LCOV, JSON, or XML coverage reports to automatically identify and prioritize uncovered code paths, helping you target and close gaps in your test suites.

What is the best way to implement a Test-Driven Development workflow for a new module?▼

The best way to implement Test-Driven Development is by following guided step-by-step assistance through the Red-Green-Refactor cycle, ensuring you write failing tests, minimal passing code, and clean refactored logic.

Does this TDD workflow guidance work with both Vitest and JUnit frameworks?▼

Yes, TDD workflow guidance and intelligent test generation work seamlessly with multiple frameworks including Vitest, JUnit, Jest, and Pytest across TypeScript, Python, and Java environments.

Can I use this to generate initial test cases before writing any implementation code?▼

Yes, you can generate initial test cases directly from software requirements before writing implementation code, allowing you to drive development from tests and ensure high coverage from the start.

Why should I use an automated TDD workflow instead of manually writing tests?▼

Automating the TDD workflow streamlines the process of test creation, coverage gap analysis, and refactoring confidence, helping software engineering teams write higher-quality tests and improve code reliability faster.