KS
Killer-Skills

modularity — how to use modularity in coding how to use modularity in coding, what is modularity in software design, modularity vs encapsulation, modularity setup guide for developers, modularity best practices for AI agents, improving code modularity with cohesion and coupling

v1.0.0
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About this Skill

Perfect for Code Review Agents needing advanced modularity evaluation and improvement capabilities. Modularity is a design principle that keeps responsibilities tightly grouped and dependencies small and stable, ensuring explicit boundaries and maintainable code.

Features

Evaluates code modularity at the lowest meaningful unit (function, class, or small module)
Uses the worst rating as the truth to ensure accurate assessment
Helps keep responsibilities tightly grouped (cohesion) for better code organization
Minimizes dependencies and keeps them stable (coupling) for reduced complexity
Ensures explicit boundaries for clearer code structure

# Core Topics

shunta-sato shunta-sato
[0]
[0]
Updated: 3/7/2026

Quality Score

Top 5%
38
Excellent
Based on code quality & docs
Installation
SYS Universal Install (Auto-Detect)
Cursor IDE Windsurf IDE VS Code IDE
> npx killer-skills add shunta-sato/agent-instructions-playbook/modularity

Agent Capability Analysis

The modularity MCP Server by shunta-sato is an open-source Categories.community integration for Claude and other AI agents, enabling seamless task automation and capability expansion. Optimized for how to use modularity in coding, what is modularity in software design, modularity vs encapsulation.

Ideal Agent Persona

Perfect for Code Review Agents needing advanced modularity evaluation and improvement capabilities.

Core Value

Empowers agents to evaluate and refine code structure by enforcing cohesion, reducing coupling, and establishing explicit boundaries, utilizing metrics such as worst-case ratings for module quality assessment.

Capabilities Granted for modularity MCP Server

Evaluating module quality at the lowest meaningful unit
Improving code organization by reducing dependencies
Refining class and function responsibilities for better cohesion

! Prerequisites & Limits

  • Requires access to codebase
  • Evaluates module quality at the function, class, or small module level only
Project
SKILL.md
1.7 KB
.cursorrules
1.2 KB
package.json
240 B
Ready
UTF-8

# Tags

[No tags]
SKILL.md
Readonly

Purpose

Use this skill to evaluate and improve modularity: keep responsibilities tightly grouped (cohesion), keep dependencies small and stable (coupling), and keep boundaries explicit.

This skill fixes one common failure mode: judging “module quality” only at a high level. Here, you always evaluate at the lowest meaningful unit (function / class / small module) and use the worst rating as the truth.

When to use

Use this skill when:

  • You are unsure whether a change made a module “too mixed” or “too entangled”.
  • You want to refactor to reduce change ripple, without rewriting everything.
  • You are reviewing an AI-written change and need an objective explanation and a concrete fix plan.

How to use

  1. Open references/modularity.md. Select 1–3 relevant headings and cite them by heading name in your reasoning.

  2. Decide the evaluation unit (usually a single function, a class, or a small file section). List the units you will judge.

  3. For each unit:

    • Rate cohesion at the worst level present.
    • Rate coupling at the worst level present.
    • Identify boundary leaks (external types, vendor exceptions, “framework objects” flowing inward).
  4. Propose the smallest fix that improves the worst rating: split time/procedural cohesion into smaller functional units, isolate “translation glue” at boundaries, introduce a thin wrapper, or restructure data flow.

  5. Re-check: does the change reduce reader confusion and reduce future change ripple?

Output expectation

  • Provide a short rating summary (worst level + reason) and a fix plan with minimal diffs.
  • If you propose a larger change, justify it with: reduced ripple, simpler tests, and clearer boundaries.

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