Iii Getting Started logo

Iii Getting Started

OrganizationPopular
iii-hq
iii-getting-started

Install the iii engine, set up your first worker, and get a working backend running. Use when a user wants to start a new iii project, install the SDK, or needs help with initial setup and configuration.

Overview

Publisheriii-hq
Repositoryiii
Skill nameiii-getting-started
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Bundled files
Instructions only
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 iii-hq on GitHub. Read the source before you install it.

Installation

Install the Iii Getting Started 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.
    https://github.com/iii-hq/iii/tree/main/skills/iii-getting-started
  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/iii-hq/iii.git /tmp/iii
mkdir -p .claude/skills
cp -r /tmp/iii/skills/iii-getting-started .claude/skills/iii-getting-started
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Iii Getting Started 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 Iii Getting Started 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 Iii Getting Started 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.

Getting Started with iii

iii replaces your API framework, task queue, cron scheduler, pub/sub, state store, and observability pipeline with a single engine and three primitives: Function, Trigger, Worker.

Step 1: Install the Engine

bash
curl -fsSL https://install.iii.dev/iii/main/install.sh | sh

Verify it installed:

bash
iii --version

Step 2: Create a Project

bash
iii project init my-app              # barebones project
iii project init my-app -t harness   # or: the harness template (agent + console UI)
cd my-app

iii project init --learn-iii scaffolds the harness template and starts it in one step; the installer offers the same when you answer "y" at its prompt. iii project init --template quickstart scaffolds the Quickstart with a Python and a TypeScript worker.

Step 3: Start the Project

bash
iii compose --namespace dev --up --file worker-compose.yaml

The file's engine: section starts the engine; containers: starts project workers. The engine commonly listens on ws://localhost:49134. Keep this foreground supervisor running.

--namespace dev names the daemon and becomes III_NAMESPACE for every worker it starts, so your workers register and call each other in dev; that is why the iii trigger commands below pass -n dev. Engine-owned functions (engine::*, configuration::*) stay in default; when a worker in dev calls one of those, pass namespace: "default" on the call (see iii-sdk-reference).

Step 4: Install the SDK

Pick your language:

bash
# TypeScript / Node.js
pnpm add iii-sdk @iii-dev/helpers

# Python
pip install iii-sdk iii-helpers

# Rust
cargo add iii-sdk iii-helpers

Step 5: Write Your First Worker

TypeScript

typescript
import { registerWorker, TriggerAction } from "iii-sdk";
import { Logger } from "@iii-dev/helpers/observability";

const iii = registerWorker(process.env.III_URL ?? "ws://localhost:49134");

iii.registerFunction(
  "hello::greet",
  async (input) => {
    const logger = new Logger();
    const name = input?.name ?? "world";
    logger.info("Greeting user", { name });
    return { message: `Hello, ${name}!` };
  },
  { description: "Greet a user by name" },
);

iii.registerTrigger({
  type: "http",
  function_id: "hello::greet",
  config: { api_path: "/hello", http_method: "POST" },
});

Python

python
from iii import register_worker, InitOptions
from iii_helpers.observability import Logger

iii = register_worker(address="ws://localhost:49134", options=InitOptions(worker_name="hello-worker"))

def greet(data):
    logger = Logger()
    name = data.get("name", "world") if isinstance(data, dict) else "world"
    logger.info("Greeting user", {"name": name})
    return {"message": f"Hello, {name}!"}

iii.register_function("hello::greet", greet, description="Greet a user by name")
iii.register_trigger({"type": "http", "function_id": "hello::greet", "config": {"api_path": "/hello", "http_method": "POST"}})

Rust

rust
use iii_sdk::{register_worker, InitOptions, RegisterFunction};
use iii_sdk::protocol::RegisterTriggerInput;
use iii_helpers::observability::Logger;
use serde_json::json;

let iii = register_worker("ws://127.0.0.1:49134", InitOptions::default());

iii.register_function(
    "hello::greet",
    RegisterFunction::new(|input: serde_json::Value| -> Result<serde_json::Value, iii_sdk::Error> {
        let logger = Logger::new();
        let name = input["name"].as_str().unwrap_or("world");
        logger.info("Greeting user", Some(json!({ "name": name })));
        Ok(json!({ "message": format!("Hello, {}!", name) }))
    }).description("Greet a user by name"),
);

iii.register_trigger(RegisterTriggerInput {
    trigger_type: "http".into(),
    function_id: "hello::greet".into(),
    config: json!({ "api_path": "/hello", "http_method": "POST" }),
    metadata: None,
})?;

Step 6: Test It

The http trigger type comes from the http worker. Add it once through the running Compose daemon, then call your endpoint:

bash
iii trigger -n dev compose::add worker=http
bash
curl -X POST http://localhost:3111/hello \
  -H "Content-Type: application/json" \
  -d '{"name": "iii"}'

Expected response:

json
{ "message": "Hello, iii!" }

Add Existing Workers

To add a capability that already exists, browse https://workers.iii.dev/ and add it through the running Compose daemon:

bash
iii trigger -n dev compose::add worker=state
iii trigger -n dev compose::add worker=queue
iii trigger -n dev compose::add worker=image-resize@0.1.2

compose::add resolves dependencies, writes exact versions to worker-compose.yaml, and restarts the affected project. A local worker can be declared as a path:// container or added by path.

Install Agent Skills

Get all iii skills for your AI coding agent:

bash
npx skills add iii-hq/iii/skills

Skills teach your agent the top-level iii model: functions, triggers, workers, registry access, SDKs, engine configuration, architecture patterns, and error handling. Worker-backed capabilities live with the worker docs and registry entries.

Adapting This Pattern

  • Add more functions to the same worker — each gets its own registerFunction + registerTrigger calls
  • Use :: separator for function IDs to namespace them: orders::create, orders::validate
  • Add cron triggers with { type: 'cron', config: { expression: '0 0 9 * * * *' } } (7-field: sec min hour day month weekday year)
  • Add queue triggers with { type: 'durable:subscriber', config: { topic: 'my-queue' } }
  • Use iii.trigger() to invoke other functions from within a function
  • Use state::get / state::set to persist data across function calls
  • Use iii trigger -n <daemon> compose::add worker=<name> when the capability already exists in the worker registry

Recommended Next Steps

After getting your first worker running:

  1. Register functions, triggers, and workers — See iii-core-primitives
  2. Choose the right SDK APIs — See iii-sdk-reference
  3. Configure the engine — See iii-engine-config
  4. Explore backend patterns — See iii-architecture-patterns
  5. Handle failures well — See iii-error-handling

Key Resources

Pattern Boundaries

  • For function and trigger registration patterns, worker creation, worker registry access, trigger payload schemas, invocation modes, channels, custom triggers, and HTTP-invoked functions, prefer iii-core-primitives
  • For language-specific SDK APIs, prefer iii-sdk-reference
  • For engine configuration, prefer iii-engine-config
  • For worker-backed HTTP, cron, queue, pubsub, state, stream, and observability behavior, use the matching worker page on https://workers.iii.dev/
  • Stay with iii-getting-started for installation, initial setup, and first-worker guidance

When to Use

  • Use this skill when the task is about installing iii, creating a new project, or writing a first worker.
  • Triggers when the request asks for setup help, quickstart guidance, or getting started with iii.

Boundaries

  • Never use this skill as a generic fallback for unrelated tasks.
  • You must not apply this skill when a more specific iii skill is a better fit.
  • Always verify environment and safety constraints before applying examples from this skill.

Frequently asked questions

What does the Iii Getting Started AI skill do?

Install the iii engine, set up your first worker, and get a working backend running. Use when a user wants to start a new iii project, install the SDK, or needs help with initial setup and configuration.

Why use Iii Getting Started on TypingMind?

Because you install it once and use it with any model. Iii Getting Started 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 Iii Getting Started in TypingMind?

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

Which AI models can use Iii Getting Started?

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 Iii Getting Started?

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

Is the Iii Getting Started AI skill free?

It is published on GitHub by iii-hq. Check the repository for licensing terms. 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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