Can it generate test data?

Yes, the included fixture generator can create mocks and sample data for complex entities to facilitate integration and unit testing.

Can I use this for existing codebases?

Yes, you can provide existing source code and the skill will generate relevant test stubs and stubs to improve your current test density.

How does the coverage analysis work?

It parses LCOV, JSON, or XML reports to identify uncovered branches and prioritizes them (P0 to P2) so you can focus on testing critical error paths first.

Does it support the red-green-refactor cycle?

Absolutely. It includes a dedicated TDD workflow tool that guides you through each phase, validating test failures before implementation and ensuring they pass after.

Which testing frameworks are supported?

This skill supports major frameworks including Jest, Pytest, JUnit, Vitest, and Mocha across Python, JavaScript, TypeScript, and Java.

TDD Guide & Test Generator

Name: TDD Guide & Test Generator
Author: zhangzhang-111-i

byzhangzhang-111-i

0•

安全与测试

Streamlines the test-driven development process by generating unit tests, analyzing coverage gaps, and managing red-green-refactor workflows.

The TDD Guide skill is a comprehensive toolkit designed to help developers implement and maintain high-quality testing practices. It automates the creation of test suites for Jest, Pytest, JUnit, and Vitest, while providing deep analysis of coverage reports (LCOV, JSON, XML) to pinpoint critical untested logic. By guiding users through structured red-green-refactor cycles and generating realistic mocks and fixtures, this skill ensures that software projects in Python, JavaScript, TypeScript, and Java remain robust, maintainable, and well-tested.

主要功能

010 GitHub stars

02Cross-framework conversion and support for Jest, Pytest, JUnit, and Vitest

03Automated unit test generation for happy paths, edge cases, and error handling

04Guided red-green-refactor workflow management for strict TDD adherence

05Intelligent coverage analysis with prioritized P0-P2 gap reporting

06Dynamic mock and fixture generation for complex data entities

使用场景

01Generating a complete Pytest suite for a new Python backend module

02Managing a TDD workflow to implement a new feature with verified test cycles

03Identifying and filling critical coverage gaps in a legacy Java project

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add zhangzhang-111-i/claude-skills111 tdd-guide

For use in Claude.ai and ChatGPT

主要功能

010 GitHub stars

02Cross-framework conversion and support for Jest, Pytest, JUnit, and Vitest

03Automated unit test generation for happy paths, edge cases, and error handling

04Guided red-green-refactor workflow management for strict TDD adherence

05Intelligent coverage analysis with prioritized P0-P2 gap reporting

06Dynamic mock and fixture generation for complex data entities

使用场景

01Generating a complete Pytest suite for a new Python backend module

02Managing a TDD workflow to implement a new feature with verified test cycles

03Identifying and filling critical coverage gaps in a legacy Java project

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add zhangzhang-111-i/claude-skills111 tdd-guide

For use in Claude.ai and ChatGPT