test-driven-development-framework

Guide teams through the Red/Green/Refactor loop for test-driven development.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/doctorduke/claude-config --skill test-driven-development-framework
Or copy as Structured Prompt for Agent
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Skill: test-driven-development-framework
Source: https://github.com/doctorduke/claude-config/tree/main/skills/test-driven-development-framework
Command: npx skills add https://github.com/doctorduke/claude-config --skill test-driven-development-framework

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps teams adopt disciplined Test-Driven Development (TDD) practices to reduce defects, speed feedback, and improve design by codifying patterns, checklists, and language-specific quick starts.

Core Features & Use Cases

  • Red/Green/Refactor loop: enforce small, safe iterations that reveal behavior first.
  • Outside-In and Inside-Out strategies: choose boundary-focused or core-logic-driven approaches for stable evolution.
  • Contract Testing & Seams: use consumer/provider contracts to prevent integration surprises.
  • Characterization Tests for Legacy Code: safely capture existing behavior before refactoring.
  • Anti-Flakiness & Determinism: inject clocks, seed randomness, and isolate tests for reliable results.
  • Language-Specific Guidance: quick-start patterns for Python, JS/TS, Go, Java/Kotlin, Rust.

Quick Start

  • Red: Write a small failing test that demonstrates the desired behavior or reproduces a bug.
  • Green: Implement the simplest code to pass the test.
  • Refactor: Improve design and readability while keeping tests green.
  • Commit often: commit after green to keep feedback fast.

Frequently Asked Questions about test-driven-development-framework

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

FAQPage Schema
How do I implement test-driven development to reduce defects and improve code design?

Test-driven development follows a Red/Green/Refactor loop: write a failing test first, implement the simplest code to pass it, then refactor for clarity. This disciplined approach catches bugs early, drives better design decisions, and keeps feedback tight through frequent commits.

What's the best way to test legacy code safely before refactoring?

Use characterization tests to capture existing behavior as-is before making changes. These tests document what the legacy code currently does, creating a safety net that lets you refactor with confidence that you haven't accidentally changed the system's observable behavior.

How do I prevent flaky tests and ensure determinism in my test suite?

Inject clocks to control time, seed randomness for reproducibility, and isolate tests from external dependencies. These practices eliminate non-deterministic failures caused by timing, randomness, or concurrency, making your test results reliable and repeatable.

What's the difference between unit, contract, integration, and end-to-end tests in TDD?

Unit tests validate isolated logic; contract tests verify API agreements between services; integration tests check component interactions; E2E tests validate full workflows. Choosing the right scope for each test minimizes brittleness while catching real issues early in development.

Can I use test-driven development with legacy systems and risky refactors?

Yes. TDD works on legacy code and high-risk changes by using characterization tests, seams to isolate behavior, and test doubles to control dependencies. This lets you refactor safely while keeping the system's observable behavior stable.

Do I need language-specific patterns to implement TDD effectively?

TDD principles are universal, but tooling, test doubles, and idioms vary by language. This Skill provides quick-start patterns for Python, JavaScript/TypeScript, Go, Java/Kotlin, and Rust so you apply TDD using your language's native practices and frameworks.