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Command Pattern

Organization
PatternsDev
command-pattern

Teaches the command pattern for decoupling task execution from invocation. Use when you need undo/redo functionality, queued operations, or want to decouple the object that invokes an operation from the one that performs it.

Overview

PublisherPatternsDev
Repositoryskills
Skill namecommand-pattern
Stars
250
Forks
27
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 PatternsDev on GitHub. Read the source before you install it.

Installation

Install the Command Pattern 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/PatternsDev/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/javascript/command-pattern .claude/skills/command-pattern
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Command Pattern 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 Command Pattern 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 Command Pattern 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.

Command Pattern

With the Command Pattern, we can decouple objects that execute a certain task from the object that calls the method.

Let's say we have an online food delivery platform. Users can place, track, and cancel orders.

When to Use

  • Use this when you need to decouple the object invoking an operation from the object performing it
  • This is helpful when commands need a certain lifespan or should be queued and executed at specific times

When NOT to Use

  • For simple one-off operations that don't need undo/redo, queuing, or logging
  • When direct function calls are clear enough and the extra abstraction adds complexity without benefit
  • When the system has few operations and the command infrastructure would be over-engineering

Instructions

  • Create a Command class with an execute method that encapsulates the action
  • Replace direct method calls with command objects passed to a single execute method on the manager
  • Use this pattern sparingly as it can add unnecessary boilerplate in simpler JavaScript applications

Details

js
class OrderManager {
  constructor() {
    this.orders = []
  }

  placeOrder(order, id) {
    this.orders.push(id)
    return `You have successfully ordered ${order} (${id})`;
  }

  trackOrder(id) {
    return `Your order ${id} will arrive in 20 minutes.`
  }

  cancelOrder(id) {
    this.orders = this.orders.filter(order => order !== id)
    return `You have canceled your order ${id}`
  }
}

On the OrderManager class, we have access to the placeOrder, trackOrder and cancelOrder methods. It would be totally valid JavaScript to just use these methods directly!

js
const manager = new OrderManager();

manager.placeOrder("Pad Thai", "1234");
manager.trackOrder("1234");
manager.cancelOrder("1234");

However, there are downsides to invoking the methods directly on the manager instance. It could happen that we decide to rename certain methods later on, or the functionality of the methods change.

Say that instead of calling it placeOrder, we now rename it to addOrder! This would mean that we would have to make sure that we don't call the placeOrder method anywhere in our codebase, which could be very tricky in larger applications. Instead, we want to decouple the methods from the manager object, and create separate command functions for each command!

Let's refactor the OrderManager class: instead of having the placeOrder, cancelOrder and trackOrder methods, it will have one single method: execute. This method will execute any command it's given.

Each command should have access to the orders of the manager, which we'll pass as its first argument.

js
class OrderManager {
  constructor() {
    this.orders = [];
  }

  execute(command, ...args) {
    return command.execute(this.orders, ...args);
  }
}

We need to create three Commands for the order manager:

  • PlaceOrderCommand
  • CancelOrderCommand
  • TrackOrderCommand
js
class Command {
  constructor(execute) {
    this.execute = execute;
  }
}

function PlaceOrderCommand(order, id) {
  return new Command((orders) => {
    orders.push(id);
    return `You have successfully ordered ${order} (${id})`;
  });
}

function CancelOrderCommand(id) {
  return new Command((orders) => {
    const index = orders.indexOf(id);
    if (index > -1) orders.splice(index, 1);
    return `You have canceled your order ${id}`;
  });
}

function TrackOrderCommand(id) {
  return new Command(() => `Your order ${id} will arrive in 20 minutes.`);
}

Perfect! Instead of having the methods directly coupled to the OrderManager instance, they're now separate, decoupled functions that we can invoke through the execute method that's available on the OrderManager.

Pros

The command pattern allows us to decouple methods from the object that executes the operation. It gives you more control if you're dealing with commands that have a certain lifespan, or commands that should be queued and executed at specific times.

Cons

The use cases for the command pattern are quite limited, and often adds unnecessary boilerplate to an application.

Source

References

Frequently asked questions

What does the Command Pattern AI skill do?

Teaches the command pattern for decoupling task execution from invocation. Use when you need undo/redo functionality, queued operations, or want to decouple the object that invokes an operation from the one that performs it.

Why use Command Pattern on TypingMind?

Because you install it once and use it with any model. Command Pattern 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 Command Pattern in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/PatternsDev/skills/tree/main/javascript/command-pattern. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Command Pattern?

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 Command Pattern?

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

Is the Command Pattern AI skill free?

Yes. It is published on GitHub by PatternsDev 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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