Mediator Pattern logo

Mediator Pattern

Organization
PatternsDev
mediator-pattern

Teaches the mediator pattern for centralized component communication. Use when multiple components need to communicate and direct coupling between them creates complexity or tight dependencies.

Overview

PublisherPatternsDev
Repositoryskills
Skill namemediator-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 Mediator 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/mediator-pattern .claude/skills/mediator-pattern
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Mediator 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 Mediator 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 Mediator 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.

Mediator/Middleware Pattern

The mediator pattern makes it possible for components to interact with each other through a central point: the mediator. Instead of directly talking to each other, the mediator receives the requests, and sends them forward! In JavaScript, the mediator is often nothing more than an object literal or a function.

You can compare this pattern to the relationship between an air traffic controller and a pilot. Instead of having the pilots talk to each other directly, which would probably end up being quite chaotic, the pilots talk the air traffic controller. The air traffic controller makes sure that all planes receive the information they need in order to fly safely, without hitting the other airplanes.

When to Use

  • Use this when multiple objects need to communicate but direct many-to-many relationships would be chaotic
  • This is helpful for implementing middleware chains (e.g., Express.js middleware)

When NOT to Use

  • When direct communication between two components is simpler and the system has few participants
  • When the mediator itself becomes a monolithic "god object" that's hard to maintain
  • When event-driven patterns (observer/pub-sub) provide sufficient decoupling without a central coordinator

Instructions

  • Create a central mediator that processes requests and forwards them to the appropriate handlers
  • Use the middleware pattern to chain processing functions that can modify requests/responses
  • Keep individual components unaware of each other; they only know about the mediator

Details

Although we're hopefully not controlling airplanes in JavaScript, we often have to deal with multidirectional data between objects. The communication between the components can get rather confusing if there is a large number of components.

Instead of letting every object talk directly to the other objects, resulting in a many-to-many relationship, the object's requests get handled by the mediator. The mediator processes this request, and sends it forward to where it needs to be.

A good use case for the mediator pattern is a chatroom! The users within the chatroom won't talk to each other directly. Instead, the chatroom serves as the mediator between the users.

js
class ChatRoom {
  logMessage(user, message) {
    const time = new Date();
    const sender = user.getName();

    console.log(`${time} [${sender}]: ${message}`);
  }
}

class User {
  constructor(name, chatroom) {
    this.name = name;
    this.chatroom = chatroom;
  }

  getName() {
    return this.name;
  }

  send(message) {
    this.chatroom.logMessage(this, message);
  }
}

We can create new users that are connected to the chat room. Each user instance has a send method which we can use in order to send messages.

Case Study

Express.js is a popular web application server framework. We can add callbacks to certain routes that the user can access.

Say we want add a header to the request if the user hits the root '/'. We can add this header in a middleware callback.

js
const app = require("express")();

app.use("/", (req, res, next) => {
  req.headers["test-header"] = 1234;
  next();
});

The next method calls the next callback in the request-response cycle. We'd effectively be creating a chain of middleware functions that sit between the request and the response, or vice versa.

Let's add another middleware function that checks whether the test-header was added correctly. The change added by the previous middleware function will be visible throughout the chain.

js
const app = require("express")();

app.use(
  "/",
  (req, res, next) => {
    req.headers["test-header"] = 1234;
    next();
  },
  (req, res, next) => {
    console.log(`Request has test header: ${!!req.headers["test-header"]}`);
    next();
  }
);

Perfect! We can track and modify the request object all the way to the response through one or multiple middleware functions.

Every time the user hits a root endpoint '/', the two middleware callbacks will be invoked.

The middleware pattern makes it easy for us to simplify many-to-many relationships between objects, by letting all communication flow through one central point.

Source

References

Frequently asked questions

What does the Mediator Pattern AI skill do?

Teaches the mediator pattern for centralized component communication. Use when multiple components need to communicate and direct coupling between them creates complexity or tight dependencies.

Why use Mediator Pattern on TypingMind?

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

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

Which AI models can use Mediator 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 Mediator Pattern?

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

Is the Mediator 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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