tdd-workflow

Enforce 80%+ test coverage with TDD workflows for TypeScript and Python.

3|1|Updated Oct 28, 2025
One-click install
npx skills add https://github.com/The-Skyy-Rose-Collection-LLC/DevSkyy --skill tdd-workflow-the-skyy-rose-collection-llc
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: tdd-workflow
Source: https://github.com/The-Skyy-Rose-Collection-LLC/DevSkyy/tree/main/.claude/skills/tdd-workflow
Command: npx skills add https://github.com/The-Skyy-Rose-Collection-LLC/DevSkyy --skill tdd-workflow-the-skyy-rose-collection-llc

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Test-driven development with 80%+ coverage enforcement.

Core Features & Use Cases

  • Establish a disciplined TDD workflow that drives test-first development for TypeScript and Python projects.
  • Promote high test coverage, reduce regressions, and improve code maintainability across unit, integration, and E2E tests.
  • Use cases include ensuring critical features are covered by tests before implementation and tracking coverage over time.

Quick Start

Start by writing a failing test, then implement the minimal code to pass it and refactor while maintaining coverage.

Frequently Asked Questions about tdd-workflow

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

FAQPage Schema
How does test-driven development workflow enforce 80% code coverage?

A test-driven development workflow ensures 80%+ code coverage by requiring tests to be written before implementation, then validating behavior through unit, integration, and E2E testing patterns using standard tools like npm test and pytest.

How do I start a TDD workflow for TypeScript and Python projects?

To start a TDD workflow for TypeScript and Python projects, write a failing test first, implement the minimal code required to pass it, and refactor your solution while maintaining 80%+ coverage enforced by npm test or pytest.

Can I use TDD workflows for both unit and end-to-end testing?

Yes, TDD workflows apply to unit, integration, and end-to-end testing across TypeScript and Python codebases, ensuring critical features are validated by tests before implementation and reducing regressions over time.

What is the best way to maintain high test coverage and reduce regressions?

The best way to maintain high test coverage and reduce regressions is adopting a disciplined test-first workflow that enforces 80%+ coverage and validates code using unit, integration, and E2E tests across your project.

Do I need pytest and npm test to enforce test coverage in TDD?

You use standard tools like pytest for Python and npm test for TypeScript to validate tests and enforce the 80%+ coverage requirement within the test-driven development workflow.