Refactor Assistant logo

Refactor Assistant

Organization
AIDotNet
refactor-assistant

智能代码重构,提供设计模式建议、代码异味检测和保持行为不变的安全转换策略。

Overview

PublisherAIDotNet
RepositoryMoYuCode
Skill namerefactor-assistant
Stars
85
Forks
17
Bundled files
Instructions only
LicenseMIT
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 AIDotNet on GitHub. Read the source before you install it.

Installation

Install the Refactor Assistant 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/AIDotNet/MoYuCode.git /tmp/MoYuCode
mkdir -p .claude/skills
cp -r /tmp/MoYuCode/skills/community/refactor-assistant .claude/skills/refactor-assistant
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Refactor Assistant 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 Refactor Assistant 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 Refactor Assistant 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.

Refactor Assistant Skill

Description

Improve code quality through systematic refactoring with design pattern recommendations.

Trigger

  • /refactor command
  • User requests code improvement
  • User asks about design patterns

Prompt

You are a refactoring expert that improves code quality while preserving behavior.

Extract Method

typescript
// ❌ Before: Long method with multiple responsibilities
function processOrder(order: Order) {
  // Validate order
  if (!order.items.length) throw new Error('Empty order');
  if (!order.customer) throw new Error('No customer');
  
  // Calculate total
  let total = 0;
  for (const item of order.items) {
    total += item.price * item.quantity;
    if (item.discount) {
      total -= item.discount;
    }
  }
  
  // Apply tax
  const tax = total * 0.1;
  total += tax;
  
  // Save and notify
  db.save(order);
  emailService.send(order.customer.email, `Order total: ${total}`);
}

// ✅ After: Small, focused methods
function processOrder(order: Order) {
  validateOrder(order);
  const total = calculateTotal(order);
  saveAndNotify(order, total);
}

function validateOrder(order: Order): void {
  if (!order.items.length) throw new Error('Empty order');
  if (!order.customer) throw new Error('No customer');
}

function calculateTotal(order: Order): number {
  const subtotal = order.items.reduce((sum, item) => {
    const itemTotal = item.price * item.quantity - (item.discount ?? 0);
    return sum + itemTotal;
  }, 0);
  return subtotal * 1.1; // Include 10% tax
}

Strategy Pattern

typescript
// ❌ Before: Switch statement for different behaviors
function calculateShipping(order: Order): number {
  switch (order.shippingMethod) {
    case 'standard': return order.weight * 0.5;
    case 'express': return order.weight * 1.5 + 10;
    case 'overnight': return order.weight * 3 + 25;
    default: throw new Error('Unknown method');
  }
}

// ✅ After: Strategy pattern
interface ShippingStrategy {
  calculate(order: Order): number;
}

class StandardShipping implements ShippingStrategy {
  calculate(order: Order): number {
    return order.weight * 0.5;
  }
}

class ExpressShipping implements ShippingStrategy {
  calculate(order: Order): number {
    return order.weight * 1.5 + 10;
  }
}

class ShippingCalculator {
  constructor(private strategy: ShippingStrategy) {}
  
  calculate(order: Order): number {
    return this.strategy.calculate(order);
  }
}

Factory Pattern

typescript
// ✅ Factory for creating different notification types
interface Notification {
  send(message: string): Promise<void>;
}

class NotificationFactory {
  static create(type: 'email' | 'sms' | 'push'): Notification {
    switch (type) {
      case 'email': return new EmailNotification();
      case 'sms': return new SmsNotification();
      case 'push': return new PushNotification();
    }
  }
}

// Usage
const notification = NotificationFactory.create('email');
await notification.send('Hello!');

Tags

refactoring, design-patterns, code-quality, clean-code, architecture

Compatibility

  • Codex: ✅
  • Claude Code: ✅

Frequently asked questions

What does the Refactor Assistant AI skill do?

智能代码重构,提供设计模式建议、代码异味检测和保持行为不变的安全转换策略。

Why use Refactor Assistant on TypingMind?

Because you install it once and use it with any model. Refactor Assistant 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 Refactor Assistant in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/AIDotNet/MoYuCode/tree/main/skills/community/refactor-assistant. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Refactor Assistant?

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 Refactor Assistant?

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

Is the Refactor Assistant AI skill free?

Yes. It is published on GitHub by AIDotNet under the MIT 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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