Can I use this for large-scale system architecture?

This skill is optimized for small-scale analysis (single classes, modules, or small sets of related files) to ensure the analysis remains rigorous and evidence-based.

What are the 8 dimensions of design analysis?

The skill evaluates Naming, Object Calisthenics, Coupling & Cohesion, Immutability, Domain Integrity, Type System, Simplicity, and Performance.

How does this skill differ from a standard linter?

While linters focus on syntax and style, this skill evaluates high-level architectural patterns, domain integrity, and logical coupling that require semantic understanding of the code.

Does it provide specific code examples for fixes?

Yes, every finding includes file and line references along with actionable recommendations and often provides 'before and after' code snippets to illustrate the improvement.

Lightweight Design Analysis

Name: Lightweight Design Analysis
Author: NTCoding

byNTCoding

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开发者工具

Conducts rigorous, evidence-based code design reviews across eight critical dimensions to identify refactoring opportunities and architectural improvements.

关于

This skill empowers Claude to act as a senior software architect, performing systematic evaluations of code modules based on clean code, domain-driven design, and type-safe principles. By analyzing dimensions like Object Calisthenics, coupling, cohesion, and domain integrity, it generates structured reports with file-specific references and concrete 'before and after' code examples. It is designed to identify technical debt and structural weaknesses that automated linters often miss, making it an essential tool for high-quality code reviews and architectural audits.

主要功能

Implementation-first analysis protocol to ensure deep context before evaluation
Actionable refactoring recommendations with clear 'Before/After' comparisons
Detection of architectural anti-patterns like Feature Envy and Anemic Domain Models
Evidence-based findings with exact file and line number references
94 GitHub stars
Systematic 8-dimension design evaluation including Naming and Object Calisthenics

使用场景

Evaluating architectural integrity when onboarding to a new or unfamiliar codebase
Identifying and prioritizing technical debt in complex legacy modules
Performing deep design audits during the pull request and code review process

关于

主要功能

Implementation-first analysis protocol to ensure deep context before evaluation
Actionable refactoring recommendations with clear 'Before/After' comparisons
Detection of architectural anti-patterns like Feature Envy and Anemic Domain Models
Evidence-based findings with exact file and line number references
94 GitHub stars
Systematic 8-dimension design evaluation including Naming and Object Calisthenics

使用场景

Evaluating architectural integrity when onboarding to a new or unfamiliar codebase
Identifying and prioritizing technical debt in complex legacy modules
Performing deep design audits during the pull request and code review process