What is the Balanced Coupling Model used by this skill?

It is a framework from Vlad Khononov that defines modularity by balancing integration strength against physical distance, while accounting for the volatility of the components involved.

How does this skill help identify a 'distributed monolith'?

It flags 'Complexity' errors where components have high integration strength (like shared business logic or direct database access) but are located at a high distance from each other, such as in different microservices.

Can I use this tool for both monoliths and microservices?

Yes, the evaluator scales across different 'distances,' meaning it can analyze coupling within a single file, between packages in a monolith, or across independent services in a distributed system.

What is the difference between static and dynamic connascence in its analysis?

Static connascence refers to coupling detectable at compile-time (like shared names or types), while dynamic connascence refers to runtime dependencies (like execution order or timing) which are often harder to refactor.

Code Modularization Evaluator

Name: Code Modularization Evaluator
Author: dotneet

bydotneet

0•

协作工具

Analyzes and optimizes software architecture using the Balanced Coupling Model to reduce technical debt and improve system maintainability.

The Code Modularization Evaluator is a sophisticated architectural analysis tool for Claude Code that applies the principles of the Balanced Coupling Model and connascence theory. It systematically evaluates the relationships between software components across three dimensions—integration strength, distance, and volatility—to identify architectural risks like 'distributed monoliths' and over-engineered abstractions. By providing actionable refactoring guidance based on the modularity formula, it helps developers transition from fragile, high-coupling code to resilient, modular systems that are easier to scale and maintain.

主要功能

01Distributed monolith detection and resolution strategies

02Static and Dynamic connascence type identification

030 GitHub stars

04Integration strength assessment across module boundaries

05Automated Balanced Coupling Model analysis

06Structured architectural health reports with prioritized refactoring plans

使用场景

01Evaluating the impact of proposed changes on system coupling and modularity

02Performing deep architectural reviews during major refactoring sessions

03Identifying and fixing 'leaky abstractions' and circular dependencies in microservices

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add dotneet/claude-code-marketplace code-modularization-evaluator

For use in Claude.ai and ChatGPT

Download Skill