tdd-workflow

Enforce Test-Driven Development in Python codebases using pytest.

Updated Aug 27, 2026
One-click install
npx skills add https://github.com/valentinuuiuiu/vikarma --skill tdd-workflow-valentinuuiuiu
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: tdd-workflow
Source: https://github.com/valentinuuiuiu/vikarma/tree/main/skills/tdd-workflow
Command: npx skills add https://github.com/valentinuuiuiu/vikarma --skill tdd-workflow-valentinuuiuiu

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill enforces the use of Test-Driven Development (TDD) in Vikarma development, ensuring that developers write tests before implementing code, leading to more robust and reliable software.

Core Features & Use Cases

  • TDD Workflow: Guides developers through the TDD process, including writing user stories, failing tests, and implementing code.
  • Python TDD with pytest: Integrates with pytest, Vikarma's testing framework, for streamlined testing.
  • 80%+ Coverage Requirement: Ensures comprehensive test coverage for Vikarma features and components.

Quick Start

To begin the TDD workflow for a new feature, write a user story and then write failing tests before implementing the feature.

Frequently Asked Questions about tdd-workflow

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

FAQPage Schema
How do I enforce Test-Driven Development in a Python codebase?

Enforce Test-Driven Development in Python by guiding developers to write user stories and failing tests before implementing code. This workflow integrates with pytest to ensure robust software and mandates 80%+ test coverage for all features.

How do I start a TDD workflow for a new Python feature?

Start the TDD workflow by writing a user story for the new feature. Next, write failing tests using pytest before implementing the feature code, ensuring the development process follows the test-first methodology.

Does this TDD workflow require a specific Python testing framework?

Yes, this TDD workflow requires pytest as its testing framework. It utilizes pytest to run tests and verify code reliability while strictly enforcing an 80%+ test coverage requirement across the codebase.

What is the minimum test coverage required for Python development here?

The minimum test coverage required for Python development is 80%+. This threshold ensures comprehensive test coverage for all features, tools, and components to maintain high code quality and reliability.

Why use TDD for Python software development?

Use TDD for Python software development to achieve more robust and reliable software. Writing tests before code ensures that features are validated upfront, preventing regressions and enforcing strict quality standards through pytest.