codebase-design

Design deep software modules and define clean architectural boundaries.

Updated Jul 24, 2026

Search Tags:#design #architecture #refactoring #codebase #modularity #interface

Ready to run

npx skills add https://github.com/rotnov/pycc --skill codebase-design-rotnov

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: codebase-design
Source: https://github.com/rotnov/pycc/tree/main/.agents/skills/codebase-design
Command: npx skills add https://github.com/rotnov/pycc --skill codebase-design-rotnov

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill addresses the complexity of software design by providing a shared vocabulary and framework for creating deep, maintainable, and testable modules.

Core Features & Use Cases

Interface Design: Guidance on defining clean, intuitive boundaries between system components.
Seam Identification: Strategies for decoupling code to improve testability and AI-navigability.
Use Case: When refactoring a legacy service, use this skill to evaluate whether a module is too shallow or if its interface effectively hides internal complexity.

Quick Start

Use the codebase-design skill to analyze the current module structure and suggest improvements for better interface depth.

Frequently Asked Questions about codebase-design

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

FAQPage Schema

What defines a deep module in software architecture?▼

To identify architectural seams for refactoring, you look for boundaries between modules that can be decoupled to improve code testability and AI-navigability. This process involves evaluating whether existing modules are too shallow and restructuring them to hide internal complexity.

How do I design clean boundaries between system components?▼

You design clean boundaries by establishing a shared design vocabulary that defines intuitive interfaces between system components. This structured methodology ensures consistent module interface quality and effectively hides internal complexity from the rest of the system.

How do I identify seams for refactoring a legacy service?▼

When do I need to evaluate module interface depth in a codebase?▼

You need to evaluate module interface depth when refactoring a legacy service or addressing complexity in a large repository. This evaluation checks if a module is too shallow or if its interface effectively hides internal implementation details to maintain a clean architecture.

Can I use this methodology to improve testability in any repository?▼

Yes, you can apply this methodology to improve testability in any repository by identifying seams and decoupling code. It provides a structured framework to analyze module structure and suggest improvements for better interface depth regardless of the specific platform.