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tdd-guide

Automate test generation, coverage analysis, and TDD workflow guidance across Jest, Pytest, and JUnit.

22|3|Updated Apr 20, 2025
Search Tags:#testing#tdd#refactoring#pytest#code generation#jest#coverage analysis
One-click install
npx skills add https://github.com/CloudToLocalLLM-online/CloudToLocalLLM --skill tdd-guide-cloudtolocalllm-online
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: tdd-guide
Source: https://github.com/CloudToLocalLLM-online/CloudToLocalLLM/tree/main/.claude/skills/tdd-guide
Command: npx skills add https://github.com/CloudToLocalLLM-online/CloudToLocalLLM --skill tdd-guide-cloudtolocalllm-online

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires pytest, coverage, pytest-cov, jest, vitest, junit, 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 software testing.

Core Features & Use Cases

  • Intelligent Test Generation: Create comprehensive test cases from requirements, code, or API specifications.
  • 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 authentication module. They can use this Skill to generate initial test cases based on requirements, analyze coverage as they write code, and receive guidance on refactoring to maintain high quality.

Quick Start

Use the tdd-guide skill to generate Jest tests for the provided TypeScript code.

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 code and API specifications?▼

Test generation from code or API specifications is automated by creating comprehensive test scaffolding. It intelligently analyzes your requirements to build initial test cases, significantly reducing the manual effort required for software testing.

How do I identify coverage gaps from LCOV, JSON, or XML reports?▼

Coverage gap identification parses LCOV, JSON, and XML reports to pinpoint untested code. It prioritizes actionable recommendations for improving code quality and test effectiveness based on the parsed coverage data.

Can I use this TDD workflow guidance with Pytest, Jest, and JUnit?▼

TDD workflow guidance supports Pytest, Jest, and JUnit across multiple languages. It provides step-by-step assistance through the Red-Green-Refactor cycle to help you maintain high code quality during implementation.

What's the best way to start test driven development for a new module?▼

Starting test driven development for a new module involves generating initial test cases from your requirements, writing code to pass them, and receiving guidance on refactoring. This streamlines the entire Red-Green-Refactor process.

How does automated test scaffolding improve code refactoring?▼

Automated test scaffolding improves code refactoring by providing a safety net of generated tests. As you refactor, coverage analysis identifies gaps and offers actionable recommendations to maintain test effectiveness and high code quality.

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