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Ably

Organization
TerminalSkills
ably

You are an expert in Ably, the enterprise-grade realtime messaging platform. You help developers add pub/sub messaging, presence, chat, live updates, and event streaming to applications with guaranteed message ordering, exactly-once delivery, automatic reconnection, and global edge infrastructure — handling millions of messages per second with 99.999% uptime SLA.

Overview

PublisherTerminalSkills
Repositoryskills
Skill nameably
Stars
155
Forks
21
Bundled files
1
LicenseApache-2.0
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.

  • 1 bundled files

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

  • Open source

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

Installation

Install the Ably 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/TerminalSkills/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/skills/ably .claude/skills/ably
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Ably 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 Ably 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 Ably 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.

Ably — Realtime Infrastructure as a Service

You are an expert in Ably, the enterprise-grade realtime messaging platform. You help developers add pub/sub messaging, presence, chat, live updates, and event streaming to applications with guaranteed message ordering, exactly-once delivery, automatic reconnection, and global edge infrastructure — handling millions of messages per second with 99.999% uptime SLA.

Core Capabilities

Pub/Sub Messaging

typescript
import Ably from "ably";

// Realtime client
const ably = new Ably.Realtime({ key: process.env.ABLY_API_KEY });

// Subscribe to channel
const channel = ably.channels.get("orders");

channel.subscribe("new", (message) => {
  console.log("New order:", message.data);
  // { orderId: "ORD-789", total: 99.99, items: [...] }
});

channel.subscribe("status-update", (message) => {
  console.log("Status changed:", message.data);
});

// Publish
await channel.publish("new", {
  orderId: "ORD-789",
  total: 99.99,
  items: [{ name: "Widget", qty: 2 }],
});

// Presence — who's online
const presenceChannel = ably.channels.get("room:lobby");

await presenceChannel.presence.enter({ name: "Alice", avatar: "👩" });

presenceChannel.presence.subscribe("enter", (member) => {
  console.log(`${member.data.name} joined`);
});

const members = await presenceChannel.presence.get();
console.log("Online:", members.map(m => m.data.name));

REST API (Server-Side)

typescript
import Ably from "ably";

const ably = new Ably.Rest({ key: process.env.ABLY_API_KEY });

// Publish from server
const channel = ably.channels.get("notifications:user-42");
await channel.publish("alert", {
  title: "Payment received",
  amount: 150.00,
  timestamp: Date.now(),
});

// Batch publish
await ably.request("POST", "/messages", {}, {}, [
  { channel: "notifications:user-1", name: "alert", data: { text: "Hello!" } },
  { channel: "notifications:user-2", name: "alert", data: { text: "Hi!" } },
]);

// Token authentication (for clients)
const tokenRequest = await ably.auth.createTokenRequest({
  clientId: "user-42",
  capability: {
    "chat:*": ["subscribe", "publish", "presence"],
    "notifications:user-42": ["subscribe"],
  },
});
// Send tokenRequest to client — they auth without exposing API key

Chat SDK

typescript
import { ChatClient, RoomOptionsDefaults } from "@ably/chat";

const chatClient = new ChatClient(realtimeClient);

const room = chatClient.rooms.get("support-room", RoomOptionsDefaults);

// Send message
await room.messages.send({ text: "How can I help you?" });

// Listen for messages
room.messages.subscribe((event) => {
  console.log(`${event.message.clientId}: ${event.message.text}`);
});

// Typing indicators
room.typing.subscribe((event) => {
  console.log("Typing:", event.currentlyTyping);
});
await room.typing.start();

// Reactions
await room.reactions.send({ type: "like" });

room.reactions.subscribe((reaction) => {
  console.log(`${reaction.clientId} reacted: ${reaction.type}`);
});

Installation

bash
npm install ably
npm install @ably/chat                     # Chat SDK (optional)

Best Practices

  1. Token auth for clients — Never expose API key in browsers; use createTokenRequest from your server
  2. Capabilities — Scope tokens to specific channels and operations; least-privilege access
  3. Message ordering — Ably guarantees message ordering per channel; no need for manual sequencing
  4. Presence — Use for "who's online", typing indicators, cursor tracking; built-in, no custom code
  5. History — Enable message persistence; clients recover missed messages on reconnect
  6. Channel namespaces — Use chat:, notifications:, updates: prefixes; configure rules per namespace
  7. Serverless friendly — REST API for publishing from Lambda/Cloud Functions; no persistent connection needed
  8. Global edge — Messages routed via nearest edge node; <65ms median latency globally

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 Ably AI skill do?

You are an expert in Ably, the enterprise-grade realtime messaging platform. You help developers add pub/sub messaging, presence, chat, live updates, and event streaming to applications with guaranteed message ordering, exactly-once delivery, automatic reconnection, and global edge infrastructure — handling millions of messages per second with 99.999% uptime SLA.

Why use Ably on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/TerminalSkills/skills/tree/main/skills/ably. 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 Ably?

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 Ably?

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

Is the Ably AI skill free?

Yes. It is published on GitHub by TerminalSkills under the Apache-2.0 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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