A robust coordination skill for managing multiple AI agents with transparent progress updates and non-blocking task dispatching.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install multi-agent-sync
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-sync 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 Sync?
Multi-Agent Sync is a specialized orchestration framework designed for complex AI workflows where multiple agents must collaborate within a group environment. It prioritizes execution transparency by ensuring that background session calls are always mirrored back to a central group thread, preventing the 'black box' effect often associated with autonomous agents.
By leveraging this component of Openclaw Skills, developers can ensure that the main chat remains lightweight and responsive. The skill manages the lifecycle of subtasks—from planning and kickoff to mid-progress heartbeats and final summaries—ensuring that users are never left guessing about the current state of a long-running operation.
Multi-Agent Sync Use Cases
- Orchestrating complex coding projects that require separate agents for frontend, backend, and DevOps.
- Managing research tasks where multiple agents gather data from different sources simultaneously.
- Coordinating content creation pipelines involving separate drafting, editing, and SEO optimization agents.
- Providing real-time progress visibility for stakeholders during long-running automated tasks.
How Multi-Agent Sync Works
- Planning & Assignment: The orchestrator declares task objectives and assigns roles, specifically designating tools like Codex for coding subtasks.
- Kickoff Sync: A visible group message is posted detailing the role split, expected deliverables, and the initiation of a temporary watcher job.
- Non-blocking Dispatch: Tasks are sent to agent sessions with specific skill constraints; the main controller immediately acknowledges the dispatch and releases the UI thread.
- Progress Monitoring: A dual push-pull mechanism is used where agents post milestone labels (started, partial, done) while a coordinator polls session history to detect silent completions.
- Periodic Rollups: The coordinator posts cross-agent summaries every 1-2 minutes in a designated summary topic to maintain high-level visibility.
- Final Closure: Once all agents reach a terminal state, a structured final summary is published containing implementation results, artifact paths, and next actions.
Multi-Agent Sync Setup
To integrate this capability into your environment, ensure your agent profile includes the Multi-Agent Sync configuration.
# Example command to initialize a multi-agent group session
openclaw-cli session create --topic "project-alpha-sync" --skills multi-agent-sync
Configure your environment variables to allow for non-blocking sessions_send calls and ensure the openai-codex-operator is available for sub-agents.
Multi-Agent Sync Data Schema & Taxonomy
The skill organizes data across specific topics to maintain a clean communication architecture:
| Topic | Role | Content Type |
|---|---|---|
| Topic 1 | Summary Thread | Coordinator rollups, kickoff notes, and final implementation summaries. |
| Topic 2-N | Worker Threads | Agent-specific progress (started/partial/done) and granular task execution. |
| Main Chat | Control Layer | High-level commands and non-blocking status acknowledgments. |
All progress is tracked via milestone labels: started, partial, done, or blocked.
Multi-Agent Sync Advanced Features
- Temporary Watcher Jobs: Automated cron-style watchers that poll agent status and backfill missing updates if an agent goes silent.
- High-Frequency Sync Mode: A specialized state for urgent tasks that triggers intermediate updates for every material step or change.
- Adaptive Heartbeats: Intelligent rollup cadence that adjusts based on the predicted length and complexity of the task.
- State Correction Logic: Automatically detects and marks causes for silent replies or timeout windows to maintain a reliable audit log.
SKILL.md
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