A powerful orchestration skill that enables a primary AI agent to spawn, manage, and integrate results from specialized sub-agents.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install multi-agent-coordinator
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 multi-agent-coordinator 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 Multi-Agent Coordinator Skill?
The Multi-Agent Coordinator Skill is designed to overcome the limitations of single-agent execution by delegating specialized tasks to sub-agents. It allows a main agent to act as an orchestrator, spawning temporary Learner agents for deep research or Critic agents for rigorous quality assessment. This skill is essential for building robust Openclaw Skills that require modularity and high-quality output through collaborative AI efforts.
By leveraging one-shot execution modes, it ensures tasks are handled by the most appropriate specialized model without cluttering the primary agent's context. This coordination layer manages the entire lifecycle of sub-agents, from creation and communication to result synthesis, providing a scalable architecture for complex problem-solving.
Multi-Agent Coordinator Skill Use Cases
- Researching real-time information via specialized Learner agents to augment the main agent knowledge base.
- Performing quality control and evaluation using Critic agents for critical decision-making or code reviews.
- Managing complex multi-step workflows that exceed a single agent reasoning capacity.
- Overcoming framework constraints through efficient one-shot sub-agent spawning and result integration.
How Multi-Agent Coordinator Skill Works
- The main agent identifies a complex sub-task that requires specialized expertise or a clean context.
- A sub-agent (such as a Learner or Critic) is spawned using the sessions_spawn function in run mode.
- The main agent communicates specific task parameters to the sub-agent via the sessions_send method.
- The sub-agent executes the specific instruction and returns the output to the orchestrator.
- The main agent aggregates feedback or data from various sub-agents to synthesize a final response for the user.
Multi-Agent Coordinator Skill Setup
To implement this skill within your Openclaw Skills development environment, ensure your agent has access to the sessions API.
# Ensure your environment supports session spawning
npm install @openclaw/sdk
When configuring the agent, use the mode: "run" parameter for sub-agents, as persistent session threads are restricted in certain configurations. Keep sub-agent prompts concise (under 200 characters) to ensure maximum stability and prevent timeouts.
Multi-Agent Coordinator Skill Data Schema & Taxonomy
The coordination skill utilizes an ephemeral session-based model. For persistent data, it integrates with external state managers.
| Attribute | Type | Description |
|---|---|---|
| label | String | Functional identifier for the sub-agent (e.g., 'learner', 'critic') |
| mode | String | Set to 'run' for one-shot execution per framework requirements |
| childSessionKey | String | Unique identifier for the spawned agent session |
| timeout_ms | Integer | Execution limit, typically set to 30000ms or 60000ms |
| task | String | The specific instruction or prompt sent to the sub-agent |
Multi-Agent Coordinator Skill Advanced Features
- Multi-agent result synthesis for handling concurrent data streams from multiple specialized agents.
- Integration with the ontology skill to provide a shared memory and knowledge graph across one-shot sessions.
- Automated Critic loops where a Critic agent must approve Learner output before the main agent proceeds.
- Context recovery strategies to maintain workflow continuity across temporary agent lifecycles.
SKILL.md
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