simple-code

Reduce incidental complexity through concrete, local, reversible code changes.

Updated Mar 15, 2026
One-click install
npx skills add https://github.com/MylesMCook/simple-code --skill simple-code
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: simple-code
Source: https://github.com/MylesMCook/simple-code/tree/main
Command: npx skills add https://github.com/MylesMCook/simple-code --skill simple-code

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Reduce incidental complexity in code and design by advocating concrete, local, reversible changes over speculative abstractions, helping teams keep code approachable during API design, refactoring, testing, and architecture decisions.

Core Features & Use Cases

  • Focus on deep modules and information hiding to keep boundaries clear.
  • Provide a simple decision framework that prioritizes correctness, reversibility, and local reasoning over premature generalization.
  • Use incremental, testable steps and document tradeoffs to enable safe evolution of codebases.

Quick Start

Propose the smallest, reversible change that improves maintainability for the given codebase.

Frequently Asked Questions about simple-code

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

FAQPage Schema
How do I reduce incidental complexity in software design?

Reduce incidental complexity by advocating concrete, local, reversible changes over speculative abstractions, which keeps code approachable during API design, refactoring, and architecture decisions.

What is the best way to refactor module boundaries for maintainability?

Refactor module boundaries by focusing on deep modules and information hiding to maintain clear separation, prioritizing local reasoning and incremental testable steps over premature generalization.

How do I make safe, reversible architecture decisions in my codebase?

Make safe architecture decisions by proposing the smallest reversible change that improves maintainability, documenting tradeoffs, and deferring to security, performance, or compliance concerns when needed.

Does this approach to code simplicity work for testing strategy and API design?

Yes, this simplicity framework applies directly to API design, module boundaries, refactoring, testing strategy, and architecture decisions across mainstream software projects to manage incidental complexity.

When should I not use simple design principles for refactoring?

Defer these simplicity principles when security, performance, or compliance concerns require specific architectural tradeoffs that override the preference for local, concrete, and reversible code changes.