Dashboard Skill
Build and run a Kanban-style task management dashboard for your Clawdbot agent.
Best use case
Dashboard Skill is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Build and run a Kanban-style task management dashboard for your Clawdbot agent.
Teams using Dashboard Skill should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/dashboard/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How Dashboard Skill Compares
| Feature / Agent | Dashboard Skill | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Build and run a Kanban-style task management dashboard for your Clawdbot agent.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Dashboard Skill
Build and run a Kanban-style task management dashboard for your Clawdbot agent.
## Overview
This skill creates a local web dashboard that lets you:
- Manage tasks in a Kanban board (To Do → In Progress → Done → Archived)
- Monitor agent status in real-time (Online/Thinking/Ready)
- Drop notes for the agent to check on heartbeats
- View action logs and quick-access deliverables
## Quick Start
Run the setup script to install and start the dashboard:
```bash
bash /path/to/skills/dashboard/setup.sh
```
Or have your agent run it:
> Set up and start my Clawdbot dashboard
## Manual Setup
### 1. Install Dependencies
```bash
# Ubuntu/Debian
apt-get install -y python3-flask python3-flask-cors
# Or with pip
pip3 install flask flask-cors
```
### 2. Create Dashboard Directory
```bash
mkdir -p ~/clawd-dashboard/{templates,static/css,static/js,data}
```
### 3. Copy Files
Copy these files from the skill's `src/` directory:
- `app.py` → `~/clawd-dashboard/`
- `templates/index.html` → `~/clawd-dashboard/templates/`
- `static/css/style.css` → `~/clawd-dashboard/static/css/`
- `static/js/dashboard.js` → `~/clawd-dashboard/static/js/`
### 4. Start the Dashboard
```bash
cd ~/clawd-dashboard
python3 app.py
```
Dashboard runs on **http://localhost:5050**
## Configuration
### Environment Variables
| Variable | Default | Description |
|----------|---------|-------------|
| `CLAWD_WORKSPACE` | `/root/clawd` | Path to agent workspace |
| `DASHBOARD_PORT` | `5050` | Port to run dashboard on |
### Customization
Edit `app.py` to customize:
- **Deliverables**: Modify `get_deliverables()` to add your own folder shortcuts
- **Agent ID**: Change the session key pattern in `get_agent_status()` if your agent isn't named "clawd"
## Features
### Kanban Board
- **Drag & drop** tasks between columns
- **Color-coded** columns (red=todo, yellow=progress, green=done, gray=archived)
- **Click to edit** any task
- Tasks persist in `data/tasks.json`
### Agent Status
- Polls `clawdbot status --json` every 10 seconds
- Shows: Online/Offline, Thinking/Ready state
- Displays model name and token usage
### Notes Section
- Add instructions for your agent
- Agent can read these during heartbeat checks
- Saved to `data/notes.json`
### Action Log
- Tracks task creates/moves/deletes
- Timestamps all actions
- Last 100 entries stored in `data/action_log.json`
## Running as a Service
To keep the dashboard running after logout:
```bash
# Using systemd (recommended)
cat > /etc/systemd/system/clawd-dashboard.service << 'EOF'
[Unit]
Description=Clawd Dashboard
After=network.target
[Service]
Type=simple
WorkingDirectory=/root/clawd-dashboard
ExecStart=/usr/bin/python3 app.py
Restart=always
Environment=CLAWD_WORKSPACE=/root/clawd
[Install]
WantedBy=multi-user.target
EOF
systemctl daemon-reload
systemctl enable clawd-dashboard
systemctl start clawd-dashboard
```
## Security Notes
- Dashboard has **no authentication** by default
- Only run on trusted networks (localhost, Tailscale, VPN)
- Do NOT expose to public internet without adding auth
## Troubleshooting
### "Status shows offline"
- Check that `clawdbot status --json` works from command line
- Verify the agent ID pattern matches your setup
### "Tasks not saving"
- Check that `data/` directory exists and is writable
- Look for errors in the terminal or `/tmp/dashboard.log`
### "Port already in use"
- Change port: `python3 app.py` then edit the `app.run()` line
- Or kill existing process: `pkill -f "python3 app.py"`
## Files Reference
```
clawd-dashboard/
├── app.py # Flask backend (API + routes)
├── data/
│ ├── tasks.json # Kanban tasks
│ ├── notes.json # Notes for agent
│ └── action_log.json # Activity history
├── static/
│ ├── css/
│ │ └── style.css # Dark theme styles
│ └── js/
│ └── dashboard.js # Frontend logic
└── templates/
└── index.html # Main page template
```
## Credits
Inspired by the "Klaus Dashboard" from Nate Herk's Clawdbot video.Related Skills
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