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Install in OpenClaw
/install arc-department-manager
Description
Manage a team of AI sub-agents organized into departments. Use when you need to delegate tasks to specialized agents, track department outputs, assign roles,...
README (SKILL.md)
Department Manager
Organize your AI workers into departments. Assign tasks, track output, and coordinate multi-agent teams like a CEO.
Why This Exists
Running an autonomous business or complex project means juggling multiple tasks across different domains: content, research, code, marketing, operations. Instead of doing everything sequentially, organize your workers into departments and delegate in parallel.
Commands
Create a department
python3 {baseDir}/scripts/departments.py create --name "content" --description "SEO blog posts, marketing copy, newsletters" --model "arcee-ai/trinity-large-preview:free"
List departments
python3 {baseDir}/scripts/departments.py list
Assign a task to a department
python3 {baseDir}/scripts/departments.py assign --dept "content" --task "Write a blog post about OpenClaw memory system" --priority high
Check department status
python3 {baseDir}/scripts/departments.py status --dept "content"
View all active tasks across departments
python3 {baseDir}/scripts/departments.py active
Complete a task
python3 {baseDir}/scripts/departments.py complete --task-id 1 --output "Blog post written and saved to drafts/memory-post.md"
Department report (summary of all departments)
python3 {baseDir}/scripts/departments.py report
Remove a department
python3 {baseDir}/scripts/departments.py remove --name "content"
Recommended Department Structure
| Department | Model | Responsibilities |
|---|---|---|
| content | arcee-ai/trinity-large-preview:free | Blog posts, marketing copy, newsletters |
| research | stepfun/step-3.5-flash:free | Market research, competitor analysis, data gathering |
| engineering | openrouter/free | Code generation, bug fixes, tooling |
| operations | (manual/CEO) | Budget, strategy, communications |
| security | (manual/CEO) | Skill scanning, threat assessment, audits |
Data Storage
Department data stored in ~/.openclaw/department-manager/departments.json.
Tips
- Create departments based on your actual workflow, not hypothetical needs
- Assign one default model per department for consistency
- Review completed tasks before publishing — QA is the CEO's job
- Use priority levels to focus workers on what matters now
- Run
reportat the end of each day for a team overview
Usage Guidance
This skill appears coherent and local-only, but check these before installing: (1) Inspect the included script yourself (it’s small and readable) to confirm it meets your expectations. (2) Be aware it stores all department and task data in ~/.openclaw/department-manager/departments.json (plaintext JSON) — avoid putting secrets or sensitive data into tasks or outputs. (3) If you prefer isolation, run with --data-dir pointed to a sandbox location. (4) The SKILL.md mentions model names but the script does not perform any network/API calls; integrating with remote LLM providers would require separate credentials/configuration outside this skill.
Capability Analysis
Type: OpenClaw Skill
Name: arc-department-manager
Version: 1.0.0
The OpenClaw AgentSkills bundle 'arc-department-manager' is benign. It provides functionality for an AI agent to manage sub-agents by organizing them into departments and assigning tasks. All data operations are confined to a local JSON file (`~/.openclaw/department-manager/departments.json`). The Python script `scripts/departments.py` uses `argparse` for input handling and performs no external network calls, does not access sensitive system data, and lacks any obfuscation or persistence mechanisms. The `SKILL.md` instructions are straightforward and do not contain any prompt injection attempts or directives for the agent to perform unauthorized actions.
Capability Assessment
Purpose & Capability
The name/description describe multi-agent department/task management and the included Python script implements create/list/assign/status/complete/report/remove operations. Requiring python3 is appropriate and proportional.
Instruction Scope
SKILL.md directs use of the bundled script and documents CLI commands. The runtime instructions only read/write a local JSON data file (~/.openclaw/department-manager/departments.json) and do not reference other system files, credentials, or external network endpoints. Note: the skill stores task output locally (plain JSON), so sensitive content entered as task output will be persisted.
Install Mechanism
No install spec or remote downloads; this is an instruction-only skill with a bundled Python script. Nothing is fetched from third-party URLs or written to system locations beyond the user's home directory.
Credentials
No environment variables, credentials, or config paths are required. The recommended model strings in the README are informational only and the script does not attempt to use or authenticate to those services.
Persistence & Privilege
always:false (no forced inclusion). The script persists data to ~/.openclaw/department-manager/departments.json which is expected for this utility; it does not modify other skills or system-wide agent settings. Consider that persisted task outputs may contain sensitive information.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install arc-department-manager - After installation, invoke the skill by name or use
/arc-department-manager - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release: Manage and coordinate tasks among multiple AI agent departments.
- Organize AI agents into user-defined departments for specialized workflows.
- Assign, track, and complete tasks within and across departments.
- Commands for creating, listing, and removing departments; assigning and completing tasks; generating department reports.
- Supports setting department roles, models, and custom responsibilities.
- Stores all department/project data locally for persistence and review.
Metadata
Frequently Asked Questions
What is Department Manager?
Manage a team of AI sub-agents organized into departments. Use when you need to delegate tasks to specialized agents, track department outputs, assign roles,... It is an AI Agent Skill for Claude Code / OpenClaw, with 989 downloads so far.
How do I install Department Manager?
Run "/install arc-department-manager" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Department Manager free?
Yes, Department Manager is completely free (open-source). You can download, install and use it at no cost.
Which platforms does Department Manager support?
Department Manager is cross-platform and runs anywhere OpenClaw / Claude Code is available (darwin, linux).
Who created Department Manager?
It is built and maintained by ArcSelf (@trypto1019); the current version is v1.0.0.
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