A command-line orchestration layer for delegating tasks and managing specialized AI agent departments like a CEO.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install arc-department-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 arc-department-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 Department Manager?
Department Manager is a strategic layer for autonomous systems that allows for the organization of AI workers into distinct departments. By implementing these Openclaw Skills, developers can transition from linear task execution to a sophisticated multi-agent workflow where specialized models handle specific domains like marketing, research, or engineering. This skill provides the structure needed to manage complex projects, ensuring that every task is assigned to the right agent and tracked through to completion. It effectively acts as a manager for your sub-agents, providing a clear hierarchy and operational framework for high-level project management.
Department Manager Use Cases
- Delegating specialized tasks like content creation, research, and coding to specific AI sub-agents.
- Scaling autonomous businesses by running multiple domains (marketing, operations, engineering) in parallel.
- Maintaining a clear audit trail of tasks and outputs across different functional departments.
- Coordinating complex projects that require different LLMs optimized for specific departmental roles using Openclaw Skills.
How Department Manager Works
- Define your organizational structure by creating departments with specific descriptions and model assignments.
- Distribute workload by assigning tasks to specific departments using priority flags to manage urgency.
- Track the lifecycle of every request through status checks and active task monitoring within the department.
- Log the results of finished tasks to maintain a permanent history of all work produced by your Openclaw Skills.
- Audit the entire system with comprehensive reports that summarize departmental performance and output.
Department Manager Setup
To begin managing your AI team, ensure python3 is available in your environment. You can initialize your first department using the following command structure:
python3 {baseDir}/scripts/departments.py create --name "research" --description "Market analysis" --model "stepfun/step-3.5-flash:free"
You can verify your configuration and list active departments using:
python3 {baseDir}/scripts/departments.py list
Department Manager Data Schema & Taxonomy
The skill maintains its state within a local JSON file to ensure persistence across sessions.
| Attribute | Specification |
|---|---|
| Data Location | ~/.openclaw/department-manager/departments.json |
| Format | JSON object mapping department names to their configurations and task lists. |
| Metadata | Tracks unique task IDs, priority levels, and completion timestamps for all Openclaw Skills activities. |
Department Manager Advanced Features
- Dynamic Model Assignment: Choose the best LLM for each specific departmental role within your Openclaw Skills setup.
- High-Priority Queuing: Ensure that critical business tasks are addressed first by the specialized sub-agents.
- Automated Reporting: Generate full team summaries to quickly assess project health and agent productivity.
- Cross-Platform Compatibility: Fully supported on both Darwin (macOS) and Linux environments.
SKILL.md
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