A powerful framework for orchestrating multi-agent pipelines on the iii engine using named queues, shared state, and explicit approval gates.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install iii-agentic-backend
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install iii-agentic-backend using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Agentic Backend Orchestrator?
The iii-agentic-backend skill is designed for developers building complex AI agent collaboration systems. It provides a structured approach to agent orchestration, comparable to LangGraph or CrewAI, by utilizing the iii engine primitives. This resource within Openclaw Skills allows for the creation of research, review, and synthesis chains where specialized agents hand off work through ordered queues and maintain context via a shared state.
By implementing this pattern, you can manage sophisticated workflows that require more than a simple request-response cycle. It enables asynchronous handoffs and robust state management, ensuring that every agent in the pipeline has access to the accumulated context necessary to complete its specific task efficiently.
Agentic Backend Orchestrator Use Cases
- Building multi-stage research pipelines where a researcher agent gathers data for a critic agent.
- Implementing automated content generation workflows with built-in human-in-the-loop or automated approval gates.
- Developing complex support ticket routing systems where agents specialize in different technical domains.
- Creating data synthesis engines that aggregate information from multiple sources before producing a final report.
How Agentic Backend Orchestrator Works
- The process begins by using registerWorker to initialize the connection between your local worker and the iii engine.
- Individual agents are defined as registered functions, typically prefixed with an agents identifier to maintain organization.
- An HTTP trigger serves as the entry point, receiving the initial request and enqueuing the first task in the pipeline.
- Agents interact with a shared state using state::set and state::update to store findings or progress.
- Handoffs occur via named queues using TriggerAction.Enqueue, allowing for asynchronous processing and reliability.
- Explicit condition checks act as approval gates, determining if the workflow should proceed to the next agent or return for revisions.
- Upon completion, a publish trigger broadcasts the final results to any registered downstream listeners via a pubsub mechanism.
Agentic Backend Orchestrator Setup
To implement this orchestration pattern using Openclaw Skills, you must first configure your worker environment and define your queues.
# Initialize your project and install iii dependencies
npm install @iii-engine/sdk
Configure your named queues in your iii-config.yaml to manage agent concurrency:
queue_configs:
agent-tasks:
retries: 3
concurrency: 5
Agentic Backend Orchestrator Data Schema & Taxonomy
The skill organizes data through a combination of shared state objects and queue payloads. Below is a breakdown of the metadata and state taxonomy:
| Component | Mechanism | Description |
|---|---|---|
| Shared Context | state::set/get | A central JSON object where agents accumulate research or synthesis data. |
| Agent Handoff | Enqueue | A payload containing the current task ID and specific instructions for the next agent. |
| Worker Registry | registerWorker | Metadata identifying the worker name and connection URL. |
| Event Broadcast | publish | A topic-based message indicating completion (e.g., research.complete). |
Agentic Backend Orchestrator Advanced Features
- Support for complex condition functions that act as logic gates between agent transitions.
- Granular queue configuration in iii-config.yaml for managing retries and task concurrency.
- Integration of structured logging per agent to simplify debugging in multi-agent environments.
- Capability to broadcast completion events to external systems using the pubsub pattern.
- Flexible state scoping to handle domain-specific data like support-tickets or research-tasks.
SKILL.md
Loading
Related Openclaw Skills
Functions & Triggers
A robust framework for registering multi-language function handlers and binding them to diverse event sources within the Openclaw Skills ecosystem.
AI Video Generator Sora
A cloud-powered AI video generation tool that transforms text descriptions, documents, and images into high-quality 1080p MP4 videos.
Reactive Backend Development for iii Engine
A specialized skill for building real-time, event-driven backends using the iii engine primitives.
AI Music Video Maker Free
A powerful AI tool that transforms audio files into fully synced, high-definition music videos without manual editing.
Video Editing AI Tools Free
An AI-powered video editing skill that automates trimming, transitions, and 1080p exports using cloud-based GPU rendering.
AI Video Editor Edimakor
A cloud-based AI video editing tool that transforms raw footage into polished 1080p videos using natural language commands.
Featured*
