software-design-philosophy

Guide code reviews and API design with deep module and information hiding principles.

Updated Mar 28, 2026
One-click install
npx skills add https://github.com/MisLink/agentry --skill software-design-philosophy-mislink
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: software-design-philosophy
Source: https://github.com/MisLink/agentry/tree/main/agents/.agents/skills/software-design-philosophy
Command: npx skills add https://github.com/MisLink/agentry --skill software-design-philosophy-mislink

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Software design complexity is driven by hidden dependencies, ambiguous interfaces, and inconsistent naming, making changes risky and time-consuming.

Core Features & Use Cases

  • Deep modules promote simple interfaces with rich implementations, reducing surface area and cognitive load.
  • Information hiding encapsulates decisions to minimize inter-module dependencies.
  • Design it twice to compare approaches before implementing.
  • Code-review guidance for architecture, API design, and refactoring decisions.

Quick Start

Apply the core design principles to a real code review and identify a deep module while flagging potential information leakage.

Frequently Asked Questions about software-design-philosophy

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

FAQPage Schema
What is a deep module in software design?

A deep module in software design promotes a simple interface with a rich implementation, reducing the surface area and cognitive load for developers using it.

How do I use information hiding to manage software complexity?

Information hiding manages software complexity by encapsulating design decisions within modules, which minimizes hidden dependencies and prevents inter-module coupling during refactoring.

How do I review code for architecture and API design flaws?

Code reviews for architecture and API design should identify deep modules, flag potential information leakage, and verify minimal surface area to ensure robust interface boundaries.

What is the best way to compare architectural approaches before implementation?

The design it twice principle compares multiple architectural approaches before implementation, allowing you to evaluate interface simplicity and complexity management before committing to code.

When should I refactor to reduce interface surface area?

You should refactor to reduce interface surface area when modules exhibit ambiguous interfaces, hidden dependencies, or high cognitive load that makes software changes risky and time-consuming.

Does this guide apply to error-handling strategy discussions?

This guide applies to error-handling strategy discussions by ensuring clear design semantics, explicit documentation, and robust comment practices that minimize inter-module dependencies.