Tencent SkillHub · Data Analysis

Realtime Dashboard

Complete guide to building real-time dashboards with streaming data, WebSocket/SSE, and live updates. Orchestrates dual-stream architecture, React hooks, and data visualization. Use when building trading dashboards, monitoring UIs, or live analytics. Triggers on realtime dashboard, live data, streaming dashboard, trading UI, monitoring.

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Install for OpenClaw

Quick setup

Download the package from Yavira.
Extract the archive and review SKILL.md first.
Import or place the package into your OpenClaw setup.

Requirements

Target platform: OpenClaw
Install method: Manual import
Extraction: Extract archive
Prerequisites: OpenClaw
Primary doc: SKILL.md

Package facts

Download mode: Yavira redirect
Package format: ZIP package
Source platform: Tencent SkillHub
What's included: README.md, SKILL.md

Validation

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I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Then review README.md for any prerequisites, environment setup, or post-install checks. Tell me what you changed and call out any manual steps you could not complete.

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I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run.

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Trust & source

Release facts

Source: Tencent SkillHub
Verification: Indexed source record
Version: 1.0.0

Provenance

Publisher: wpank
Source page: View original listing
Canonical URL: Open canonical page

Documentation

ClawHub primary doc Primary doc: SKILL.md 16 sections Open source page

Real-Time Dashboard (Meta-Skill)

Complete guide to building real-time dashboards with streaming data.

OpenClaw / Moltbot / Clawbot

npx clawhub@latest install realtime-dashboard

When to Use

Building trading or financial dashboards Monitoring and analytics UIs Any dashboard needing live data updates Systems with server-to-client push requirements

Architecture Overview

┌─────────────────────────────────────────────────────────────┐ │ Data Sources │ │ APIs, Databases, Message Queues │ └─────────────────────────────────────────────────────────────┘ │ ▼ ┌─────────────────────────────────────────────────────────────┐ │ Backend Services │ ├─────────────────────────────────────────────────────────────┤ │ Kafka (durable) │ Redis Pub/Sub (real-time) │ │ See: dual-stream-architecture │ └─────────────────────────────────────────────────────────────┘ │ ▼ ┌─────────────────────────────────────────────────────────────┐ │ WebSocket/SSE Gateway │ │ See: websocket-hub-patterns │ └─────────────────────────────────────────────────────────────┘ │ ▼ ┌─────────────────────────────────────────────────────────────┐ │ React Application │ ├─────────────────────────────────────────────────────────────┤ │ Real-time Hooks │ Data Visualization │ │ See: realtime-react-hooks│ See: financial-data-visualization ├─────────────────────────────────────────────────────────────┤ │ Animated Displays │ Connection Handling │ │ See: animated-financial │ See: resilient-connections │ └─────────────────────────────────────────────────────────────┘

Step 1: Event Publishing

Set up dual-stream publishing for durability + real-time. Read: ai/skills/realtime/dual-stream-architecture func (p *DualPublisher) Publish(ctx context.Context, event Event) error { // 1. Kafka: Must succeed (durable) err := p.kafka.WriteMessages(ctx, kafka.Message{...}) if err != nil { return err } // 2. Redis: Best-effort (real-time) p.publishToRedis(ctx, event) return nil }

Step 2: WebSocket Gateway

Create horizontally-scalable WebSocket connections. Read: ai/skills/realtime/websocket-hub-patterns type Hub struct { connections map[*Connection]bool subscriptions map[string]map[*Connection]bool redisClient *redis.Client } // Lazy Redis subscriptions func (h *Hub) subscribeToChannel(conn *Connection, channel string) { // Only subscribe to Redis on first local subscriber }

Step 3: React Hooks

Connect React to real-time data. Read: ai/skills/realtime/realtime-react-hooks const { data, isConnected } = useSSE({ url: '/api/events', onMessage: (data) => updateState(data), }); // Or with SWR integration const { data } = useRealtimeData('metrics', fetchMetrics);

Step 4: Resilient Connections

Handle connection failures gracefully. Read: ai/skills/realtime/resilient-connections const { isConnected, send } = useWebSocket({ url: 'wss://api/ws', reconnect: true, maxRetries: 5, onMessage: handleMessage, });

Step 5: Data Visualization

Build dark-themed financial charts. Read: ai/skills/design-systems/financial-data-visualization <PriceChart data={priceHistory} isPositive={change >= 0} />

Step 6: Animated Displays

Add smooth number animations. Read: ai/skills/design-systems/animated-financial-display <AnimatedNumber value={price} prefix="$" decimals={2} /> <FlashingValue value={value} formatter={formatCurrency} />

Component Skills Reference

SkillPurposedual-stream-architectureKafka + Redis publishingwebsocket-hub-patternsScalable WebSocket serverrealtime-react-hooksSSE/WebSocket React hooksresilient-connectionsRetry, circuit breakerfinancial-data-visualizationChart theminganimated-financial-displayNumber animations

Streaming Over Blocking

Never wait for all data. Show immediately, improve progressively: Phase 1: Initial data + hints → Immediate display Phase 2: Background refinement → Prices update in place Phase 3: Historical data → Charts populate

Additive-Only Updates

Never zero out data when refinement fails. Only update when you have better data.

Connection Status

Always show users their connection state: <ConnectionStatus isConnected={isConnected} />

NEVER Do

Never block on data fetching — Show immediately, refine progressively Never skip connection status indicators — Users need to know they're live Never use polling when SSE/WebSocket available — Real-time means push, not pull Never forget graceful degradation — System should work (degraded) when connection lost Never zero out data on refinement failure — Only update when you have better data Never reconnect without exponential backoff — Prevents thundering herd Never skip Redis Pub/Sub failure handling — Redis is best-effort; log and continue Never send full payloads over Redis — Send IDs only, clients fetch from API Never share WebSocket pubsub across channels — Each channel needs own subscription Never forget ping/pong on WebSocket — Load balancers close "idle" connections

Checklist

Set up dual-stream publishing (Kafka + Redis) Create WebSocket/SSE gateway Implement React hooks for real-time data Add reconnection with exponential backoff Build dark-themed chart components Add animated number displays Show connection status to users Handle errors gracefully

Category context

Data access, storage, extraction, analysis, reporting, and insight generation.

Source: Tencent SkillHub

Largest current source with strong distribution and engagement signals.

Package contents

Included in package

2 Docs

SKILL.md Primary doc
README.md Docs