testing-patterns

Apply structured testing patterns to safely refactor legacy codebases.

729|67|Updated Dec 8, 2025
One-click install
npx skills add https://github.com/joelhooks/swarm-tools --skill testing-patterns-joelhooks
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: testing-patterns
Source: https://github.com/joelhooks/swarm-tools/tree/main/packages/opencode-swarm-plugin/global-skills/testing-patterns
Command: npx skills add https://github.com/joelhooks/swarm-tools --skill testing-patterns-joelhooks

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill provides a structured set of testing patterns to help teams safely evolve code by documenting actual behavior, enabling safer refactoring, and preventing regression through repeatable tests.

Core Features & Use Cases

  • Seam-based approaches to identify safe points to alter behavior without changing production code.
  • Characterization tests that capture real-world behavior to guide refactors.
  • Test doubles, mocks, and stubs to isolate dependencies.
  • Safe refactoring techniques, such as sprout methods, push-down dependencies, and more.

Quick Start

Start by selecting a module, write a failing test that captures current behavior, and then evolve it into a robust regression test. Use seams and test doubles to gradually decouple components and enable safe evolution.

Frequently Asked Questions about testing-patterns

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

FAQPage Schema
How do I safely refactor legacy code without breaking existing behavior?

To safely refactor legacy code, apply characterization tests to capture real-world behavior before making changes. This structured testing pattern documents actual outputs, enabling safe refactoring and preventing regressions across unfamiliar codebases.

What is a seam in unit testing and how does it help with dependency isolation?

A seam in unit testing is a specific point in code where you can alter behavior without modifying production logic. Using seams allows you to isolate dependencies and safely introduce test doubles for safer code evolution.

When do I need to use characterization tests instead of standard unit tests?

You need characterization tests when working with unfamiliar or legacy codebases that lack adequate test coverage. They capture and document the current real-world behavior, creating a safety net to guide safe refactoring.

Can I use test doubles and mocks with a standard unit testing environment?

Yes, you can use test doubles, mocks, and stubs with a standard unit testing environment. This testing pattern requires no special tooling beyond standard setups to isolate dependencies and guide safe code evolution.

What's the best way to start applying testing patterns to an unfamiliar module?

Start by selecting a module and writing a failing test that captures current behavior, then evolve it into a robust regression test. Use seams and test doubles to gradually decouple components and enable safe evolution.