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Design Patterns

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FlorianBruniaux
design-patterns

Detect, suggest, and evaluate GoF design patterns in TypeScript/JavaScript codebases. Use when refactoring code, applying singleton/factory/observer/strategy patterns, reviewing pattern quality, or finding stack-native alternatives for React, Angular, NestJS, and Vue.

Overview

PublisherFlorianBruniaux
Repositoryclaude-code-ultimate-guide
Skill namedesign-patterns
Stars
6K
Forks
782
Bundled files
8
LicenseCC-BY-SA-4.0
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.

  • 8 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

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

Installation

Install the Design Patterns 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.
  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/FlorianBruniaux/claude-code-ultimate-guide.git /tmp/claude-code-ultimate-guide
mkdir -p .claude/skills
cp -r /tmp/claude-code-ultimate-guide/examples/skills/design-patterns .claude/skills/design-patterns
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Design Patterns 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 Design Patterns 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 Design Patterns 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.

Design Patterns Analyzer Skill

Purpose: Detect, suggest, and evaluate Gang of Four (GoF) design patterns in TypeScript/JavaScript codebases with stack-aware adaptations.

Core Capabilities

  1. Stack Detection: Identify primary framework/library (React, Angular, NestJS, Vue, Express, RxJS, Redux, ORMs)
  2. Pattern Detection: Find existing implementations of 23 GoF patterns
  3. Smart Suggestions: Recommend patterns to fix code smells, using stack-native idioms when available
  4. Quality Evaluation: Assess pattern implementation quality against best practices

Operating Modes

Mode 1: Detection

Trigger: User requests pattern detection or analysis Output: JSON report of patterns found with confidence scores and stack context

Workflow:

1. Stack Detection (package.json, tsconfig.json, framework files)
2. Pattern Search (Glob for candidates -> Grep for signatures -> Read for validation)
3. Classification (native to stack vs custom implementations)
4. Confidence Scoring (0.0-1.0 based on detection rules)
5. JSON Report Generation

Example invocation:

/design-patterns detect src/
/design-patterns analyze --format=json

Mode 2: Suggestion

Trigger: User requests pattern suggestions or refactoring advice Output: Markdown report with prioritized suggestions and stack-adapted examples

Workflow:

1. Code Smell Detection (switch statements, long parameter lists, global state, etc.)
2. Pattern Matching (map smell -> applicable patterns)
3. Stack Adaptation (prefer native framework patterns over custom implementations)
4. Priority Ranking (impact x feasibility)
5. Markdown Report with Code Examples

Example invocation:

/design-patterns suggest src/payment/
/design-patterns refactor --focus=creational

Mode 3: Evaluation

Trigger: User requests pattern quality assessment Output: JSON report with scores per evaluation criterion

Workflow:

1. Pattern Identification (which pattern is implemented)
2. Criteria Assessment (correctness, testability, SOLID compliance, documentation)
3. Issue Detection (common mistakes, anti-patterns)
4. Scoring (0-10 per criterion)
5. JSON Report with Recommendations

Example invocation:

/design-patterns evaluate src/services/singleton.ts
/design-patterns quality --pattern=observer

Methodology

Phase 1: Stack Detection

Sources (in priority order):

  1. package.json -> Check dependencies and devDependencies
  2. Framework-specific files -> angular.json, next.config.*, nest-cli.json, vite.config.*
  3. tsconfig.json -> Check compilerOptions, paths, lib
  4. File extensions -> *.jsx, *.tsx, *.vue presence

Detection Rules (from signatures/stack-patterns.yaml):

  • React: react in deps + *.jsx/*.tsx files
  • Angular: @angular/core + angular.json
  • NestJS: @nestjs/core + nest-cli.json
  • Vue: vue v3+ + *.vue files
  • Express: express in deps + app.use patterns
  • RxJS: rxjs in deps + Observable usage
  • Redux/Zustand: redux/zustand in deps + store patterns
  • Prisma/TypeORM: prisma/typeorm in deps + schema files

Output:

json
{
  "stack_detected": {
    "primary": "react",
    "version": "18.2.0",
    "secondary": ["typescript", "zustand", "prisma"],
    "detection_sources": ["package.json", "tsconfig.json", "37 *.tsx files"],
    "confidence": 0.95
  }
}

Phase 2: Pattern Detection

Search Strategy:

  1. Glob Phase: Find candidate files by naming convention

    • *Singleton*.ts, *Factory*.ts, *Strategy*.ts, *Observer*.ts, etc.
    • *Manager*.ts, *Builder*.ts, *Adapter*.ts, *Proxy*.ts, etc.
  2. Grep Phase: Search for pattern signatures (from signatures/detection-rules.yaml)

    • Primary signals: private constructor, static getInstance(), subscribe(), createXxx(), etc.
    • Secondary signals: Interface naming, delegation patterns, method signatures
  3. Read Phase: Validate pattern structure

    • Parse class/interface definitions
    • Verify relationships (inheritance, composition, delegation)
    • Check for complete pattern implementation vs partial usage

Confidence Scoring:

  • 0.9-1.0: All primary + secondary signals present, structure matches exactly
  • 0.7-0.89: All primary signals + some secondary, minor deviations
  • 0.5-0.69: Primary signals present, missing secondary validation
  • 0.3-0.49: Naming convention matches, weak structural evidence
  • 0.0-0.29: Insufficient evidence, likely false positive

Classification:

  • native: Pattern implemented using stack-native features (React Context, Angular Services, NestJS Guards, etc.)
  • custom: Manual TypeScript implementation
  • library: Third-party library providing pattern (RxJS Subject, Redux Store, etc.)

Phase 3: Code Smell Detection

Target Smells (from signatures/code-smells.yaml):

  1. Switch on Type -> Strategy/Factory pattern
  2. Long Parameter List (>4) -> Builder pattern
  3. Global State Access -> Singleton (or preferably DI)
  4. Duplicated Conditionals on State -> State pattern
  5. Scattered Notification Logic -> Observer pattern
  6. Complex Object Creation -> Factory/Abstract Factory
  7. Tight Coupling to Concrete Classes -> Adapter/Bridge
  8. Repetitive Interface Conversions -> Adapter pattern
  9. Deep Nesting for Feature Addition -> Decorator pattern
  10. Large Class with Many Responsibilities -> Facade pattern

Detection Heuristics:

  • Grep for switch (.*type), switch (.*kind), switch (.*mode)
  • Count function parameters: function \w+\([^)]{60,}\) (approximation for >4 params)
  • Search for global access: window\., global\., process\.env\.\w+ (not in config files)
  • Find state conditionals: if.*state.*===.*&&.*if.*state.*===
  • Find notification patterns: forEach.*notify, map.*\.emit\(

Phase 4: Stack-Aware Suggestions

Adaptation Logic (from signatures/stack-patterns.yaml):

IF pattern_detected == "custom" AND stack_has_native_equivalent:
  SUGGEST: "Use stack-native pattern instead"
  PROVIDE: Side-by-side comparison (current vs recommended)

ELSE IF code_smell_detected AND pattern_missing:
  IF stack_provides_pattern:
    SUGGEST: Stack-native implementation with examples
  ELSE:
    SUGGEST: Custom TypeScript implementation with best practices

ELSE IF pattern_implemented_incorrectly:
  PROVIDE: Refactoring steps to fix anti-patterns

Example Adaptations:

PatternStackNative AlternativeRecommendation
SingletonReactContext API + ProviderUse createContext() instead of getInstance()
ObserverAngularRxJS Subject/BehaviorSubjectUse built-in Observables, not custom implementation
DecoratorNestJS@Injectable() decorators + InterceptorsUse framework interceptors
StrategyVue 3Composition API composablesUse ref() + composables instead of classes
Chain of ResponsibilityExpressMiddleware (app.use())Use Express middleware chain
CommandReduxAction creators + reducersUse Redux actions, not custom command objects

Phase 5: Quality Evaluation

Criteria (from checklists/pattern-evaluation.md):

  1. Correctness (0-10): Does it match the canonical pattern structure?
  2. Testability (0-10): Can dependencies be mocked/stubbed easily?
  3. Single Responsibility (0-10): Does it do one thing only?
  4. Open/Closed Principle (0-10): Extensible without modification?
  5. Documentation (0-10): Clear intent, descriptive naming?

Scoring Guidelines:

  • 9-10: Exemplary, reference-quality implementation
  • 7-8: Good, minor improvements possible
  • 5-6: Acceptable, notable issues to address
  • 3-4: Problematic, significant refactoring needed
  • 0-2: Incorrect or severely flawed

Issue Detection:

  • Hard-coded dependencies (Singleton with new inside getInstance)
  • God classes (too many responsibilities)
  • Leaky abstractions (exposing internal structure)
  • Missing error handling
  • Poor naming (Strategy1, Strategy2 instead of descriptive names)

Output Formats

Detection Mode (JSON)

json
{
  "metadata": {
    "scan_date": "2026-01-21T10:30:00Z",
    "scope": "src/",
    "files_scanned": 147,
    "execution_time_ms": 2341
  },
  "stack_detected": {
    "primary": "react",
    "version": "18.2.0",
    "secondary": ["typescript", "zustand", "prisma"],
    "detection_sources": ["package.json", "tsconfig.json", "37 *.tsx files"],
    "confidence": 0.95
  },
  "patterns_found": {
    "singleton": [
      {
        "file": "src/lib/api-client.ts",
        "lines": "5-28",
        "confidence": 0.85,
        "type": "custom",
        "signals": ["private constructor", "static getInstance", "private static instance"],
        "note": "Consider using React Context instead for better testability"
      }
    ],
    "observer": [
      {
        "file": "src/hooks/useAuth.ts",
        "lines": "12-45",
        "confidence": 0.92,
        "type": "native",
        "implementation": "React useState + useEffect",
        "note": "Correctly using React's built-in observer pattern"
      }
    ],
    "factory": [
      {
        "file": "src/services/notification-factory.ts",
        "lines": "8-67",
        "confidence": 0.78,
        "type": "custom",
        "signals": ["createNotification method", "type discrimination", "returns interface"]
      }
    ]
  },
  "summary": {
    "total_patterns": 7,
    "native_to_stack": 4,
    "custom_implementations": 3,
    "by_category": {
      "creational": 2,
      "structural": 3,
      "behavioral": 2
    },
    "by_confidence": {
      "high": 5,
      "medium": 2,
      "low": 0
    }
  },
  "recommendations": [
    "Consider replacing custom Singleton (api-client.ts) with React Context for better DI",
    "Review Factory pattern (notification-factory.ts) - could be simplified with strategy pattern"
  ]
}

Suggestion Mode (Markdown)

markdown
# Design Pattern Suggestions

**Scope**: `src/payment/`
**Stack**: React 18 + TypeScript + Stripe
**Date**: 2026-01-21

---

## High Priority

### 1. Strategy Pattern: `src/payment/processor.ts:45-89`

**Code Smell**: Switch statement on payment type (4 cases, 78 lines)

**Current Implementation** (lines 52-87):
```typescript
switch (paymentType) {
  case 'credit':
    // 20 lines of credit card logic
    break;
  case 'paypal':
    // 15 lines of PayPal logic
    break;
  case 'crypto':
    // 18 lines of crypto logic
    break;
  case 'bank':
    // 12 lines of bank transfer logic
    break;
}

Recommended (React-adapted Strategy):

typescript
// Define strategy interface
interface PaymentStrategy {
  process: (amount: number) => Promise<PaymentResult>;
}

// Custom hooks as strategies
const useCreditPayment = (): PaymentStrategy => ({
  process: async (amount) => { /* credit logic */ }
});

const usePaypalPayment = (): PaymentStrategy => ({
  process: async (amount) => { /* PayPal logic */ }
});

// Strategy selection hook
const usePaymentStrategy = (type: PaymentType): PaymentStrategy => {
  const strategies = {
    credit: useCreditPayment(),
    paypal: usePaypalPayment(),
    crypto: useCryptoPayment(),
    bank: useBankPayment(),
  };
  return strategies[type];
};

// Usage in component
const PaymentForm = ({ type }: Props) => {
  const strategy = usePaymentStrategy(type);
  const handlePay = () => strategy.process(amount);
  // ...
};

Impact:

  • Complexity: Reduces cyclomatic complexity from 12 to 2
  • Extensibility: New payment methods = new hook, no modification to existing code
  • Testability: Each strategy hook can be tested in isolation
  • Effort: ~2 hours (extract logic into hooks, add tests)

Medium Priority

2. Observer Pattern: src/cart/CartManager.ts:23-156

Code Smell: Manual notification logic scattered across 8 methods

Current: Manual loops calling update functions Recommended: Use Zustand store (already in dependencies)

typescript
// Instead of custom observer:
import create from 'zustand';

interface CartStore {
  items: CartItem[];
  addItem: (item: CartItem) => void;
  removeItem: (id: string) => void;
  // Zustand automatically notifies subscribers
}

export const useCartStore = create<CartStore>((set) => ({
  items: [],
  addItem: (item) => set((state) => ({ items: [...state.items, item] })),
  removeItem: (id) => set((state) => ({ items: state.items.filter(i => i.id !== id) })),
}));

// Components auto-subscribe:
const CartDisplay = () => {
  const items = useCartStore((state) => state.items);
  // Re-renders automatically on cart changes
};

Impact:

  • LOC: Reduces from 156 to ~25 lines
  • Stack-native: Uses existing Zustand dependency
  • Testability: Zustand stores are easily tested
  • Effort: ~1.5 hours

Summary

  • Total suggestions: 4
  • High priority: 2 (Strategy, Observer)
  • Medium priority: 2 (Builder, Facade)
  • Estimated total effort: ~6 hours
  • Primary benefits: Reduced complexity, improved testability, stack-native idioms

### Evaluation Mode (JSON)

```json
{
  "file": "src/services/config-singleton.ts",
  "pattern": "singleton",
  "lines": "5-34",
  "scores": {
    "correctness": 8,
    "testability": 4,
    "single_responsibility": 9,
    "open_closed": 7,
    "documentation": 6,
    "overall": 6.8
  },
  "details": {
    "correctness": {
      "score": 8,
      "rationale": "Implements singleton structure correctly with private constructor and static getInstance",
      "issues": ["Missing thread-safety consideration (not critical in JS single-threaded context)"]
    },
    "testability": {
      "score": 4,
      "rationale": "Hard to mock or reset instance in tests",
      "issues": [
        "No reset method for test isolation",
        "Static instance makes dependency injection impossible",
        "Tests must run in specific order or share state"
      ],
      "suggestions": [
        "Add resetInstance() method for tests (with appropriate guards)",
        "Consider using dependency injection instead"
      ]
    },
    "single_responsibility": {
      "score": 9,
      "rationale": "Focuses solely on configuration management",
      "issues": []
    },
    "open_closed": {
      "score": 7,
      "rationale": "Configuration can be extended but requires modification for new sources",
      "suggestions": ["Consider strategy pattern for configuration sources"]
    },
    "documentation": {
      "score": 6,
      "rationale": "Has JSDoc but missing rationale for singleton choice",
      "suggestions": ["Document why singleton is chosen over DI", "Add usage examples"]
    }
  },
  "recommendations": [
    {
      "priority": "high",
      "suggestion": "Add test-friendly reset mechanism or refactor to use DI",
      "rationale": "Current implementation makes testing difficult"
    },
    {
      "priority": "medium",
      "suggestion": "Document singleton rationale in JSDoc",
      "rationale": "Team members should understand why global state is necessary here"
    }
  ]
}

Constraints & Guidelines

Read-Only Analysis

  • No modifications: This skill only analyzes and suggests, never modifies code
  • No file creation: Does not generate refactored code files
  • User decision: All suggestions require explicit user approval before implementation

Language Focus

  • Primary: TypeScript (.ts, .tsx)
  • Secondary: JavaScript (.js, .jsx)
  • Exclusions: Other languages (Python, Java, C#) not supported

Pattern Coverage

  • Creational (5): Singleton, Factory Method, Abstract Factory, Builder, Prototype
  • Structural (7): Adapter, Bridge, Composite, Decorator, Facade, Flyweight, Proxy
  • Behavioral (11): Chain of Responsibility, Command, Iterator, Mediator, Memento, Observer, State, Strategy, Template Method, Visitor, Interpreter

Performance Considerations

  • Large codebases (>500 files): Use --scope to limit scan to specific directories
  • Parallel search: Grep searches run independently for each pattern
  • Caching: Stack detection results cached per session to avoid redundant package.json reads

Usage Examples

Basic Detection

bash
# Detect all patterns in src/
/design-patterns detect src/

# Detect only creational patterns
/design-patterns detect src/ --category=creational

# Focus on specific pattern
/design-patterns detect src/ --pattern=singleton

Targeted Suggestions

bash
# Get suggestions for payment module
/design-patterns suggest src/payment/

# Focus on specific smell
/design-patterns suggest src/ --smell=switch-on-type

# High priority only
/design-patterns suggest src/ --priority=high

Quality Evaluation

bash
# Evaluate specific file
/design-patterns evaluate src/services/api-client.ts

# Evaluate all singletons
/design-patterns evaluate src/ --pattern=singleton

# Full quality report
/design-patterns evaluate src/ --detailed

Integration with Other Skills

This skill can be inherited by:

  • refactoring-specialist.md: Provides pattern knowledge for refactoring
  • code-reviewer.md: Adds pattern detection to review process
  • architecture-advisor.md: Informs architectural decisions with pattern usage

Reference Files

  • reference/patterns-index.yaml: Machine-readable index of 23 patterns with metadata
  • reference/creational.md: Creational patterns documentation
  • reference/structural.md: Structural patterns documentation
  • reference/behavioral.md: Behavioral patterns documentation
  • signatures/detection-rules.yaml: Regex patterns and heuristics for detection
  • signatures/code-smells.yaml: Mapping from code smells to applicable patterns
  • signatures/stack-patterns.yaml: Stack detection rules and native pattern equivalents
  • checklists/pattern-evaluation.md: Quality evaluation criteria and scoring guidelines

Version

Skill Version: 1.0.0 Pattern Coverage: 23 GoF patterns Supported Stacks: 8 (React, Angular, NestJS, Vue, Express, RxJS, Redux/Zustand, ORMs) Last Updated: 2026-01-21

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Design Patterns AI skill do?

Detect, suggest, and evaluate GoF design patterns in TypeScript/JavaScript codebases. Use when refactoring code, applying singleton/factory/observer/strategy patterns, reviewing pattern quality, or finding stack-native alternatives for React, Angular, NestJS, and Vue.

Why use Design Patterns on TypingMind?

Because you install it once and use it with any model. Design Patterns 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 Design Patterns in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/FlorianBruniaux/claude-code-ultimate-guide/tree/main/examples/skills/design-patterns. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Design Patterns?

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 Design Patterns?

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

Is the Design Patterns AI skill free?

Yes. It is published on GitHub by FlorianBruniaux under the CC-BY-SA-4.0 license. 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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