task-monitor
Real-time web dashboard for OpenClaw sessions and background tasks. Mobile-responsive with auto-refresh.
Best use case
task-monitor is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Real-time web dashboard for OpenClaw sessions and background tasks. Mobile-responsive with auto-refresh.
Teams using task-monitor 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/task-monitor/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How task-monitor Compares
| Feature / Agent | task-monitor | 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?
Real-time web dashboard for OpenClaw sessions and background tasks. Mobile-responsive with auto-refresh.
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
# Task Monitor v0.1 Real-time monitoring dashboard for OpenClaw with web interface. ## Features - 🌐 **Web Dashboard** - Beautiful, responsive UI accessible from any device - 📱 **Mobile-First** - Optimized for phones and tablets - 🔄 **Auto-Refresh** - Updates every 60 seconds - 🎨 **Modern Design** - Gradient UI with dark theme - 📊 **Live Data** - Main session, Discord, sub-agents, cron jobs - 🚀 **Fast API** - JSON endpoint with intelligent caching (30s TTL) - ⚡ **Performance** - <100ms response time (cached), ~15s cold cache ## Installation ```bash cd skills/task-monitor npm install ``` ## Usage ### Start Web Server ```bash ./scripts/start-server.sh ``` Server will run on port **3030** (accessible on LAN). **Access URLs:** - Local: `http://localhost:3030` - LAN: `http://<your-ip>:3030` ### Stop Server ```bash ./scripts/stop-server.sh ``` ### API Endpoint ```bash curl http://localhost:3030/api/status ``` Returns JSON with: - Main session stats - Discord session stats - Active sub-agents (with descriptions) - Recent cron job history ### Generate Markdown (v0.1) Legacy markdown generator still available: ```bash ./scripts/generate-dashboard.js ``` Updates `DASHBOARD.md` in workspace root. ## Automation CRON job runs every 5 minutes to update markdown dashboard: `*/5 * * * *` -> Executes `generate-dashboard.js` ## Architecture - **Backend:** Node.js + Express - **Frontend:** Pure HTML/CSS/JS (no frameworks) - **Data Source:** `openclaw sessions list --json` + `openclaw cron list --json` - **Caching:** In-memory cache with 30-second TTL - Pre-warmed on server startup - Async background refresh when expired - Stale-while-revalidate pattern for optimal UX - **Refresh:** Client-side polling (60s interval) ## Performance **Without cache:** - API response time: ~15 seconds (blocking) - Problem: Each request blocks Node.js event loop **With cache:** - Cache hit: <100ms (~365x faster) - Cache miss: ~15s (first request only) - Stale cache: <100ms while refreshing in background - Cache TTL: 30 seconds The caching system ensures: - Lightning-fast responses for most requests - No blocking of concurrent requests - Graceful degradation when cache expires
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