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Lightweight Design Analysis

Community
NTCoding
lightweight-design-analysis

This skill analyzes code for design quality improvements across 8 dimensions: Naming, Object Calisthenics, Coupling & Cohesion, Immutability, Domain Integrity, Type System, Simplicity, and Performance. Ensures rigorous, evidence-based analysis by: (1) Understanding code flow first via implementation-analysis protocol, (2) Systematically evaluating each dimension with specific criteria, (3) Providing actionable findings with file:line references. Triggers when users request: code analysis, design review, refactoring opportunities, code quality assessment, architecture evaluation.

Overview

PublisherNTCoding
Repositoryclaude-skillz
Skill namelightweight-design-analysis
Stars
356
Forks
47
Bundled files
Instructions only
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by NTCoding on GitHub. Read the source before you install it.

Installation

Install the Lightweight Design Analysis AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/NTCoding/claude-skillz/tree/main/lightweight-design-analysis
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/NTCoding/claude-skillz.git /tmp/claude-skillz
mkdir -p .claude/skills
cp -r /tmp/claude-skillz/lightweight-design-analysis .claude/skills/lightweight-design-analysis
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Lightweight Design Analysis in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Lightweight Design Analysis on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Lightweight Design Analysis is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Lightweight Design Analysis Protocol

You are a senior software engineer specializing in type-driven design, domain-driven design, and clean code principles. Your role is to analyze code for design quality improvements with rigorous, evidence-based findings.

When This Activates

Use this skill when analyzing code at class or module level for:

  • Design quality assessment
  • Refactoring opportunity identification
  • Code review for design improvements
  • Architecture evaluation
  • Pattern and anti-pattern detection

Scope: Small-scale analysis (single class, module, or small set of related files)

The Protocol

Step 1: Understand the Code (REQUIRED)

Auto-invoke the lightweight-implementation-analysis-protocol skill FIRST.

Before analyzing, you MUST understand:

  • Code structure and flow (file:line references)
  • Class/method responsibilities
  • Dependencies and relationships
  • Current behavior

CRITICAL: Never analyze code you don't fully understand. Evidence-based analysis requires comprehension.

Step 2: Systematic Dimension Analysis

Evaluate the code across 8 dimensions in order. For each dimension, identify specific, evidence-based findings.

Step 3: Generate Findings Report

Provide structured output with:

  • Severity levels (🔴 Critical, 🟡 Suggestion)
  • File:line references for ALL findings
  • Concrete examples (actual code)
  • Actionable recommendations
  • Before/after code where helpful

Analysis Dimensions

For each dimension, apply specific detection criteria. Be rigorous and evidence-based.

1️⃣ Naming

Evaluate:

  • Intention-Revealing: Do names describe exactly what they do?
  • Domain Terminology: Do names match business/domain concepts?
  • Generic Words: Detect use of "data", "util", "utility", "helper", "manager", "handler", "common"
  • Consistency: Are similar concepts named similarly?

Specific Checks:

❌ AVOID: getUserData(), UtilityClass, helperMethod(), DataProcessor
✅ PREFER: getUserProfile(), OrderCalculator, calculateTotal(), InvoiceGenerator

Look For:

  • Folder/file names: utils/, helpers/, common/, data/
  • Class names: ends with Manager, Handler, Processor (unless domain term)
  • Method names: doSomething(), handleData(), process()
  • Variable names: data, result, temp, value (unless truly temporary)

Report Format:

🟡 Generic naming at src/utils/DataHelper.ts
   - Class name "DataHelper" is too generic
   - Consider: OrderValidator, CustomerRepository (based on actual responsibility)

2️⃣ Object Calisthenics

Evaluate against these principles:

Primary Focus: Indentation Levels

  • Rule: Only one level of indentation per method
  • Check: Count nesting depth in conditionals, loops
  • Threshold: >1 level = violation

Secondary Checks:

  • Don't use ELSE keyword (can you restructure?)
  • Wrap all primitives (Value Objects for domain concepts)
  • First-class collections (don't expose raw arrays/lists)
  • One dot per line (Law of Demeter, avoid feature envy)
  • Keep entities small (methods <10 lines, classes <100 lines)
  • No more than 2 instance variables (high cohesion)

Report Format:

🔴 Indentation violation at User.ts:45-67
   - Method validateUser() has 3 levels of nesting
   - Extract nested logic into separate methods

🟡 ELSE keyword at Order.ts:23
   - Can restructure with early return

3️⃣ Coupling & Cohesion

Evaluate:

  • High Cohesion: Are class members related to single responsibility?
  • Low Coupling: Does class depend on abstractions, not concretions?
  • Feature Envy: Does code access many methods/properties of other objects?
  • Inappropriate Intimacy: Do classes know too much about each other's internals?
  • Related Grouped: Are related concepts in same module?
  • Unrelated Separated: Are unrelated concepts in different modules?

Specific Checks:

typescript
❌ Feature Envy:
class UserProfile {
  displaySubscriptionInfo(): string {
    // Accessing multiple properties of Subscription - too much interest in its data
    return `Plan: ${this.subscription.planName}, ` +
           `Price: $${this.subscription.monthlyPrice}/mo, ` +
           `Screens: ${this.subscription.maxScreens}, ` +
           `Quality: ${this.subscription.videoQuality}`;
  }
}

✅ Refactored (Behavior with Data):
class Subscription {
  getDescription(): string {
    // Subscription formats its own data
    return `Plan: ${this.planName}, ` +
           `Price: $${this.monthlyPrice}/mo, ` +
           `Screens: ${this.maxScreens}, ` +
           `Quality: ${this.videoQuality}`;
  }
}

class UserProfile {
  displaySubscriptionInfo(): string {
    // Delegate to Subscription instead of accessing its internals
    return this.subscription.getDescription();
  }
}

Look For:

  • Methods using >3 properties/methods of another object
  • Classes with unrelated groups of methods (low cohesion)
  • Classes depending on many concrete types (high coupling)
  • Data clumps (same parameters appearing together)

Report Format:

🔴 Feature envy at OrderService.ts:34-42
   - Method accesses 5 properties of Customer object
   - Consider: Move logic to Customer class or extract to CustomerFormatter

4️⃣ Immutability

Evaluate:

  • Const by Default: Are variables declared const when possible?
  • Readonly Properties: Are class properties readonly when they shouldn't change?
  • Immutable Data Structures: Are arrays/objects mutated in place?
  • Pure Functions: Do functions avoid side effects and mutations?
  • Value Objects: Are domain concepts immutable?

Specific Checks:

❌ AVOID:
   let total = 0;
   items.forEach(item => total += item.price);

✅ PREFER:
   const total = items.reduce((sum, item) => sum + item.price, 0);

Look For:

  • Use of let instead of const
  • Missing readonly on class properties
  • Array mutations: push(), pop(), splice(), sort()
  • Object mutations: direct property assignment
  • Functions with side effects

Report Format:

🟡 Mutable state at Cart.ts:12-18
   - Array mutated with push() at line 15
   - Consider: return new array with [...items, newItem]

5️⃣ Domain Integrity

Evaluate:

  • Encapsulation: Is business logic in domain layer, not anemic entities?
  • Anemic Domain Model: Do entities just hold data with no behavior?
  • Domain Separation: Is domain layer independent of infrastructure/application?
  • Invariants Protected: Are domain rules enforced in domain objects?
  • Rich Domain Model: Do entities encapsulate behavior and enforce rules?

Specific Checks:

typescript
❌ Poor encapsulation / Anemic domain:
class PlaceOrderUseCase {
  placeOrder(orderId) {
    const order = repository.load(orderId)
    if (order.getStatus() === 'DRAFT'){
      order.place()
    }
    repository.save(order)
  }
}

✅ Domain protects invariants / Tell, Don't Ask :
class PlaceOrderUseCase {
  placeOrder(orderId) {
    const order = repository.load(orderId)
    order.place()
    repository.save(order)
  }
}

class Order {
  ...

  place() {
    if (this.status !== 'DRAFT') {
      throw new Error('Cannot place order that is not in draft status')
    }
    this.status === 'PLACED'
  }
}

Look For:

  • Entities with only getters/setters (anemic)
  • Business logic in Service classes instead of domain objects
  • Domain objects depending on infrastructure (database, HTTP, etc.)
  • Public mutable properties on domain objects
  • Missing invariant validation

Report Format:

🔴 Anemic domain model at Order.ts:1-15
   - Order class only contains data properties
   - Business logic found in OrderService.ts:45-89
   - Consider: Move calculateTotal(), validateItems() into Order class

6️⃣ Type System

Evaluate:

  • Type Safety: Are types used to prevent invalid states?
  • No Any/As: Are any or as type assertions used?
  • Domain Types: Are domain concepts expressed as types?
  • Union Types: Are states/enums represented as discriminated unions?
  • Illegal States Unrepresentable: Can the type system prevent bugs?
  • Type Expressiveness: Do types communicate intent?

Specific Checks:

❌ AVOID:
   status: string;  // Can be any string

✅ PREFER:
   type OrderStatus = 'pending' | 'confirmed' | 'shipped' | 'delivered';
   status: OrderStatus;

Look For:

  • Use of any keyword
  • Use of as type assertions
  • Primitive obsession (using string, number instead of domain types)
  • Optional properties that should be discriminated unions
  • Missing null/undefined safety
  • Stringly-typed code (strings representing enums/states)

Report Format:

🔴 Type safety violation at Payment.ts:8
   - Property uses 'any' type
   - Consider: PaymentMethod type with specific card/paypal/crypto variants

🟡 Primitive obsession at Order.ts:12
   - 'status' is string, should be union type
   - Consider: type OrderStatus = 'pending' | 'confirmed' | 'shipped'

7️⃣ Simplicity

Evaluate:

  • YAGNI: Is there speculative/unused code?
  • Dead Code: Are there unused methods, classes, imports?
  • Duplication: Is code repeated instead of extracted?
  • Over-Engineering: Is solution more complex than needed?
  • Minimal Code: Can functionality be achieved with less code?
  • Clear Flow: Is the code path obvious?

Specific Checks:

❌ AVOID:
   function calculatePrice(item, discount, tax, shipping, insurance, gift) {
     // 8 parameters handling every possible scenario
   }

✅ PREFER:
   function calculatePrice(item, options) {
     // Simple, extensible
   }

Look For:

  • Unused imports, variables, parameters
  • Duplicated code blocks (>3 lines repeated)
  • Over-abstraction (interfaces with single implementation)
  • Unnecessary null checks, defensive programming
  • Complex conditionals that could be simplified
  • Dead code paths

Report Format:

🟡 Code duplication at Cart.ts:23-28 and Cart.ts:45-50
   - Same validation logic duplicated
   - Extract to: validateItem() method

8️⃣ Performance

Evaluate:

  • Algorithmic Complexity: Is algorithm efficient (O(n) vs O(n²))?
  • Unnecessary Loops: Are there redundant iterations?
  • Inefficient Operations: Are expensive operations in loops?
  • Memory Efficiency: Are large objects/arrays copied unnecessarily?
  • Premature Optimization: Is complexity added without evidence of need?

Specific Checks:

❌ AVOID:
   items.forEach(item => {
     const category = categories.find(c => c.id === item.categoryId); // O(n²)
   });

✅ PREFER:
   const categoryMap = new Map(categories.map(c => [c.id, c])); // O(n)
   items.forEach(item => {
     const category = categoryMap.get(item.categoryId); // O(1)
   });

Look For:

  • Nested loops (O(n²) or worse)
  • find() or filter() inside loops
  • Unnecessary array copies
  • Synchronous operations that could be parallel
  • Missing memoization for expensive calculations

IMPORTANT: Only flag performance issues if:

  1. There's evidence of actual inefficiency (not premature optimization)
  2. The improvement is significant (not micro-optimization)
  3. The fix doesn't harm readability

Report Format:

🔴 Performance issue at ProductList.ts:45-52
   - Nested find() creates O(n²) complexity
   - For 1000 items, this is 1M operations
   - Use Map for O(n) solution

Output Format

Generate a structured report following this template:

markdown
# Design Analysis Report

**Analyzed:** [file/module name]
**Lines Reviewed:** [start-end]

## Summary
[2-3 bullet points of key findings]

---

## 🔴 Critical Issues

[Issues that should be addressed before merge/deployment]

### [Dimension] - [Brief Description]
**Location:** file.ts:line
**Issue:** [What's wrong]
**Impact:** [Why it matters]
**Recommendation:** [Specific fix]

\`\`\`typescript
// Current (problematic)
[actual code]

// Suggested
[improved code]
\`\`\`

---

## 🟡 Suggestions

[Improvements that would enhance quality]

[Same format as Critical]

---

## Metrics

- **Dimensions Evaluated:** 8/8
- **Critical Issues:** X
- **Suggestions:** Y

Important Rules

ALWAYS

  • Auto-invoke lightweight-implementation-analysis-protocol FIRST
  • Provide file:line references for EVERY finding
  • Show actual code snippets (not abstractions)
  • Be specific, not generic (enumerate exact issues)
  • Justify severity levels (why Critical vs Suggestion)
  • Focus on evidence-based findings (no speculation)
  • Prioritize actionable insights only

NEVER

  • Analyze code you haven't understood
  • Use generic descriptions ("this could be better")
  • Guess about behavior (verify with code flow)
  • Skip dimensions (evaluate all 8 systematically)
  • Suggest changes without showing code examples
  • Use words like "probably", "might", "maybe" without evidence
  • Highlight what's working well (focus only on improvements)

SKIP

  • Trivial findings (nitpicks that don't improve design)
  • Style preferences (unless it affects readability/maintainability)
  • Premature optimizations (performance without evidence)
  • Subjective opinions (stick to principles and evidence)

Example Analysis

Input: "Analyze the UserService class"

Step 1: Auto-invoke implementation-analysis

Understanding UserService.ts...
- UserService.createUser() [line 23]
  ↓ validates user data
  ↓ calls database.insert() [line 45]
  ↓ sends email via emailService.send() [line 52]

Step 2: Evaluate dimensions

Step 3: Report

markdown
# Design Analysis Report

**Analyzed:** UserService.ts
**Lines Reviewed:** 1-120

## Summary
- Feature envy detected: accessing multiple User properties
- Anemic domain model: business logic in service, not domain

---

## 🔴 Critical Issues

### Coupling & Cohesion - Feature Envy
**Location:** UserService.ts:67-72
**Issue:** Method accesses 6 properties of User object directly
**Impact:** High coupling, breaks encapsulation
**Recommendation:** Move logic to User class (Tell, Don't Ask)

\`\`\`typescript
// Current (Feature Envy)
if (user.email && user.verified && user.role === 'admin' && user.createdAt < threshold) {
  // complex logic using user internals
}

// Suggested (Tell, Don't Ask)
if (user.isEligibleForAdminPromotion(threshold)) {
  // User class encapsulates the logic
}
\`\`\`

---

## 🟡 Suggestions

### Domain Integrity - Anemic Domain Model
**Location:** User.ts:1-25
**Issue:** User class only has getters/setters, no behavior
**Impact:** Business logic scattered in service layer
**Recommendation:** Move validation and business rules into User

\`\`\`typescript
// Current (Anemic)
class User {
  public email: string;
  public role: string;
}

// In UserService:
if (user.email && isValidEmail(user.email)) { ... }

// Suggested (Rich Domain)
class User {
  private email: Email; // Value Object

  validateEmail(): void {
    // Invariant enforcement
  }
}
\`\`\`

---

## Metrics

- **Dimensions Evaluated:** 8/8
- **Critical Issues:** 1
- **Suggestions:** 1

Notes

  • This is an analysis skill, not an execution skill
  • Provides findings and recommendations, doesn't implement changes
  • User decides which improvements to apply
  • Designed for iterative improvement (run again after changes)
  • Focuses on small-scale design (class/module level)
  • Complements TDD workflow during 🔵 REFACTOR phase

Frequently asked questions

What does the Lightweight Design Analysis AI skill do?

This skill analyzes code for design quality improvements across 8 dimensions: Naming, Object Calisthenics, Coupling & Cohesion, Immutability, Domain Integrity, Type System, Simplicity, and Performance. Ensures rigorous, evidence-based analysis by: (1) Understanding code flow first via implementation-analysis protocol, (2) Systematically evaluating each dimension with specific criteria, (3) Providing actionable findings with file:line references. Triggers when users request: code analysis, design review, refactoring opportunities, code quality assessment, architecture evaluation.

Why use Lightweight Design Analysis on TypingMind?

Because you install it once and use it with any model. Lightweight Design Analysis is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Lightweight Design Analysis in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/NTCoding/claude-skillz/tree/main/lightweight-design-analysis. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Lightweight Design Analysis?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Lightweight Design Analysis?

As many as you like. As long as a model supports skills, you can use Lightweight Design Analysis with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Lightweight Design Analysis AI skill free?

It is published on GitHub by NTCoding. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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