A comprehensive management layer for orchestrating a specialized team of AI agents through the Multica Issue system.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install multica-manager
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 multica-manager 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 Multica Manager?
Multica Manager is a sophisticated control skill designed for the Openclaw Skills ecosystem. It transforms a single agent into a manager capable of directing a team of three specialized agents: Baymax (the coordinator), Hermes (the operator), and Jingang (the assistant). This skill replaces traditional file-based polling with a robust, CLI-driven Issue system, ensuring reliable task delegation and lifecycle management.
By leveraging this framework, developers can build complex multi-agent workflows where tasks are assigned, monitored, and validated within a centralized environment. It provides a structured way to handle task distribution and status reporting, making it an essential component for high-level Openclaw Skills implementation.
Multica Manager Use Cases
- Distributing complex technical requirements to specific specialized agents.
- Centralized monitoring of concurrent agent progress across different work streams.
- Automated status reporting and result aggregation for human managers.
- Creating a fail-safe communication bridge between distributed AI entities within Openclaw Skills.
How Multica Manager Works
- Task Identification: The manager identifies the task type and maps it to the appropriate agent (Baymax, Hermes, or Jingang).
- Issue Creation: A formal task is published via the multica issue create command, containing title, assignee, and detailed instructions.
- Logging: The action is recorded in a localized log file to maintain a persistent audit trail of agent activities.
- Real-time Monitoring: The manager continuously queries the Multica status list to track agent availability and issue progression.
- Result Consolidation: Once tasks are marked as completed, the manager fetches comments or outputs and synthesizes them into a final report for the end-user.
Multica Manager Setup
Ensure that the Multica CLI is installed and authenticated with your credentials. Initialize the workspace logs directory using the following commands:
mkdir -p ~/.openclaw/workspace/logs/
touch ~/.openclaw/workspace/logs/multica-tasks.log
multica agent list --output json
Verify that the agents (Baymax, Hermes, and Jingang) are visible in the system and set to an idle state before initiating Openclaw Skills workflows.
Multica Manager Data Schema & Taxonomy
The skill organizes its operations through a combination of local logs and remote API data:
| Component | Type | Location/Format |
|---|---|---|
| Activity Logs | Text | ~/.openclaw/workspace/logs/multica-tasks.log |
| Issue Data | JSON | Managed via Multica API (Status, Assignee, Message) |
| Agent Registry | JSON | Mapping of names (e.g., Baymax) to runtime IDs |
| Session Keys | Secure String | Used for the fallback sessions_send protocol |
Multica Manager Advanced Features
- Intelligent Agent Mapping: Automatically resolves aliases like baymax or jingang to their system-specific identifiers.
- Fallback Communication: Seamlessly switches to the sessions_send secondary channel if the primary Multica CLI encounters an error.
- Real-time Runtime Tracking: Monitors agent runtime IDs to ensure commands are sent to active instances.
- Integrated Issue Lifecycle Management: Supports creating, listing, and completing tasks directly within the Openclaw Skills environment.
SKILL.md
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