A comprehensive framework for building live-updating dashboards using dual-stream architecture and React.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install realtime-dashboard
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 realtime-dashboard 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 Real-Time Dashboard?
This meta-skill provides a complete architectural blueprint for developing real-time dashboards that handle streaming data through WebSocket and Server-Sent Events (SSE). By leveraging Openclaw Skills, developers can implement a dual-stream system where Kafka ensures data durability while Redis Pub/Sub provides low-latency live updates to the frontend.
The skill covers the entire lifecycle of a real-time application, from backend event publishing to frontend data visualization. It focuses on creating resilient, horizontally scalable monitoring UIs and trading dashboards that provide immediate feedback through animated displays and progressive data refinement.
Real-Time Dashboard Use Cases
- Building high-frequency trading or financial market dashboards
- Monitoring infrastructure health and real-time server analytics
- Developing live sports scoring or betting interfaces
- Creating IoT sensor monitoring systems with server-to-client push requirements
How Real-Time Dashboard Works
- Set up dual-stream publishing using Kafka for durable storage and Redis for best-effort real-time delivery.
- Implement a horizontally scalable WebSocket or SSE Gateway to manage client connections.
- Integrate specialized React hooks within the frontend to consume streaming events.
- Configure resilient connection logic with exponential backoff to handle network interruptions.
- Utilize data visualization components to render financial charts and live metrics.
- Apply animated display patterns to ensure smooth, non-flickering UI updates as data changes.
Real-Time Dashboard Setup
To get started with this skill, install it via the CLI:
npx clawhub@latest install realtime-dashboard
Ensure your environment has access to a Kafka broker for durable messaging and a Redis instance for real-time Pub/Sub functionality.
Real-Time Dashboard Data Schema & Taxonomy
The skill organizes data through a multi-layered taxonomy to ensure reliability and performance. Use the following structure for organizing your dashboard data using Openclaw Skills:
| Layer | Technology | Data Purpose |
|---|---|---|
| Durable Stream | Kafka | Audit logs, historical replay, and guaranteed delivery |
| Real-Time Stream | Redis Pub/Sub | Low-latency triggers and ephemeral UI updates |
| Client State | React Hooks | Local state management and connection health tracking |
| Visualization | UI Components | Time-series rendering and animated transitions |
Real-Time Dashboard Advanced Features
- Dual-stream architecture for simultaneous durability and speed
- Lazy Redis subscriptions to optimize server resources
- Automated exponential backoff and circuit breaking for connection resilience
- Progressive data refinement to avoid UI blocking during heavy data fetching
- Integrated ping/pong mechanisms to prevent load balancer timeouts on idle connections
SKILL.md
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