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Iii Architecture Patterns

OrganizationPopular
iii-hq
iii-architecture-patterns

Use when composing iii primitives into backend architectures: durable workflows, reactive backends, agentic pipelines, event-driven CQRS, effect pipelines, and trigger-transform-action automation.

Overview

Publisheriii-hq
Repositoryiii
Skill nameiii-architecture-patterns
Stars
18.8K
Forks
1.3K
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 Architecture Patterns 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-architecture-patterns
  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-architecture-patterns .claude/skills/iii-architecture-patterns
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Iii Architecture Patterns 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 Architecture Patterns 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 Architecture Patterns 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.

Architecture Patterns

Use this skill when the task is larger than one function or trigger. Pick the pattern from the requirement, then implement it with Function, Trigger, Worker, state, queues, streams, and pub/sub.

Pattern Map

RequirementPatterniii shape
Sequential work with retries, DLQ, step trackingDurable workflowFunctions chained through named queues, progress in state
Keep views, metrics, cache, or clients in syncReactive backendState triggers plus stream/pubsub side effects
Specialized AI agents hand work to each otherAgentic backendOne function per agent, queue handoffs, shared state
Commands publish events and projections update independentlyEvent-driven CQRSCommand functions, event log in state, subscribe triggers
Pure, traceable compositionEffect pipelineSmall functions composed synchronously with trigger()
Webhook/cron automation chainsLow-code automationTrigger, transform, action nodes chained by enqueue

Durable Workflow

Use named queues when steps need different retry, FIFO, or concurrency policy.

TypeScript

typescript
import { registerWorker, TriggerAction } from "iii-sdk";

const iii = registerWorker("ws://localhost:49134", { workerName: "order-workflow" });

async function track(orderId: string, step: string, status: string) {
  await iii.trigger({
    function_id: "state::update",
    payload: { scope: "orders", key: orderId, ops: [{ type: "merge", path: ["steps"], value: { [step]: status } }] },
  });
}

iii.registerFunction("orders::validate", async (order) => {
  await track(order.id, "validate", "done");
  return iii.trigger({
    function_id: "orders::charge",
    payload: order,
    action: TriggerAction.Enqueue({ queue: "order-payment" }),
  });
});

iii.registerFunction("orders::charge", async (order) => {
  await track(order.id, "payment", "done");
  return iii.trigger({
    function_id: "orders::ship",
    payload: order,
    action: TriggerAction.Enqueue({ queue: "order-ship" }),
  });
});

Python

python
from iii import register_worker

iii = register_worker("ws://localhost:49134")

def track(order_id, step, status):
    iii.trigger({
        "function_id": "state::update",
        "payload": {
            "scope": "orders",
            "key": order_id,
            "ops": [{"type": "merge", "path": ["steps"], "value": {step: status}}],
        },
    })

def validate(order):
    track(order["id"], "validate", "done")
    return iii.trigger({
        "function_id": "orders::charge",
        "payload": order,
        "action": {"type": "enqueue", "queue": "order-payment"},
    })

iii.register_function("orders::validate", validate)

Rust

rust
use iii_sdk::TriggerAction;
use iii_sdk::protocol::TriggerRequest;
use serde_json::json;

async fn enqueue_charge(iii: iii_sdk::IIIClient, order: serde_json::Value) -> Result<serde_json::Value, iii_sdk::Error> {
    iii.trigger(TriggerRequest {
        function_id: "state::update".into(),
        payload: json!({
            "scope": "orders",
            "key": order["id"],
            "ops": [{ "type": "merge", "path": ["steps"], "value": { "validate": "done" } }]
        }),
        action: None,
        timeout_ms: None,
    }).await?;

    iii.trigger(TriggerRequest {
        function_id: "orders::charge".into(),
        payload: order,
        action: Some(TriggerAction::Enqueue { queue: "order-payment".into() }),
        timeout_ms: None,
    }).await
}

Reactive Backend

Use state triggers when the requirement says "after create/update, do this", "avoid polling", or "push live updates".

typescript
iii.registerFunction("todos::on-change", async (event) => {
  await iii.trigger({
    function_id: "stream::send",
    payload: { stream_name: "todos-live", group_id: "default", data: event.new_value },
    action: TriggerAction.Void(),
  });
});

iii.registerTrigger({
  type: "state",
  function_id: "todos::on-change",
  config: { scope: "todos" },
});

Agentic Backend

Model each agent as a function with one responsibility. Store shared context in state and hand off work through named queues.

typescript
iii.registerFunction("agents::researcher", async (task) => {
  await iii.trigger({
    function_id: "state::set",
    payload: { scope: "research", key: task.id, value: { findings: [] } },
  });
  return iii.trigger({
    function_id: "agents::critic",
    payload: task,
    action: TriggerAction.Enqueue({ queue: "agent-tasks" }),
  });
});

Event-Driven CQRS

Commands validate and publish domain events. Projections subscribe independently and write query-optimized state.

typescript
iii.registerFunction("cmd::add-inventory-item", async (input) => {
  const event = { type: "inventory.item-added", itemId: input.itemId, quantity: input.quantity };
  await iii.trigger({
    function_id: "state::set",
    payload: { scope: "inventory-events", key: `${Date.now()}-${input.itemId}`, value: event },
  });
  await iii.trigger({ function_id: "publish", payload: { topic: event.type, data: event } });
  return { accepted: true };
});

iii.registerTrigger({
  type: "subscribe",
  function_id: "proj::inventory-list",
  config: { topic: "inventory.item-added" },
});

Selection Rules

  • Use sync composition for short effect pipelines where the caller needs the final result.
  • Use enqueue for unreliable, slow, or must-complete steps.
  • Use pub/sub for independent fan-out where each subscriber can tolerate event-style delivery.
  • Use state triggers for derived views and side effects that should run automatically after writes.
  • Use cron triggers for scheduled maintenance and periodic starts.
  • Keep each function small enough to test independently.

When to Use

  • Use this skill for complete backend patterns: workflows, agentic systems, reactive apps, CQRS, effect pipelines, and automation chains.
  • Use this when the request describes product behavior rather than a single SDK API call.

Boundaries

  • For exact trigger config, function registration syntax, custom triggers, channels, and HTTP-invoked functions, use iii-core-primitives.
  • For engine ports, adapters, engine-owned workers, and RBAC (rbac-proxy), use iii-engine-config; queue retry and FIFO policy live with the queue worker's docs.
  • For package-specific SDK syntax, use iii-sdk-reference.
  • Worker-backed capability details live with the worker docs, not as top-level iii skills.

Frequently asked questions

What does the Iii Architecture Patterns AI skill do?

Use when composing iii primitives into backend architectures: durable workflows, reactive backends, agentic pipelines, event-driven CQRS, effect pipelines, and trigger-transform-action automation.

Why use Iii Architecture Patterns on TypingMind?

Because you install it once and use it with any model. Iii Architecture Patterns 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 Architecture Patterns in TypingMind?

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

Which AI models can use Iii Architecture Patterns?

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 Architecture Patterns?

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

Is the Iii Architecture Patterns 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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