prefactoring

Apply prefactoring principles to module boundaries, domain types, and error handling.

2|Updated Mar 27, 2019

Search Tags:#architecture #error handling #domain modeling #contracts #naming #prefactoring

Ready to run

npx skills add https://github.com/silcam/lessons-from-luke --skill prefactoring

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: prefactoring
Source: https://github.com/silcam/lessons-from-luke/tree/main/.claude/skills/prefactoring
Command: npx skills add https://github.com/silcam/lessons-from-luke --skill prefactoring

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Prefactoring helps you shape code before it becomes hard to change by guiding decisions about structure, names, types, contracts, and errors.

Core Features & Use Cases

Design cohesive modules and boundaries before implementation.
Create domain types, value objects, and collection wrappers instead of relying on primitives and raw arrays.
Improve naming, separation of concerns, validation, and error handling during architecture, review, or refactoring.
Example: when planning a user or order workflow, use the skill to define interfaces, extract meaningful types, and decide where validation and failures belong.

Quick Start

Use the prefactoring skill to review this feature and recommend clearer module boundaries, better domain types, stronger contracts, and safer error handling.

Frequently Asked Questions about prefactoring

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

FAQPage Schema

How do I design better module boundaries before writing code?▼

Applying prefactoring principles before implementation helps design cohesive modules by defining explicit interfaces, meaningful domain abstractions, and validated boundaries during feature planning and code review.

What is prefactoring in software architecture?▼

Prefactoring in software architecture is the practice of shaping code structure, domain types, contracts, and error handling strategies before implementation to prevent design debt and improve separation of concerns.

How do I stop using primitive types and raw arrays in domain modeling?▼

To stop using primitive types and raw arrays in domain modeling, apply prefactoring techniques to extract meaningful domain types, value objects, and collection wrappers that enforce single sources of truth and validated boundaries.

How do I plan error handling and validation strategies during feature planning?▼

Planning error handling and validation strategies during feature planning requires defining resilient error strategies and deciding where validation and failures belong within module boundaries before implementation starts.

Can I use this approach for code review and refactoring existing workflows?▼

Yes, you can use prefactoring principles during code review and refactoring existing workflows to improve naming decisions, strengthen contracts, enforce separation of concerns, and recommend safer error handling.

When should I not use prefactoring for my software design?▼

You should avoid prefactoring when a project lacks clear feature requirements or domain abstractions, as defining explicit interfaces, validated boundaries, and single sources of truth requires upfront architectural decisions.