# Send Realtime Dashboard to your agent Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually. ## Fast path - Download the package from Yavira. - Extract it into a folder your agent can access. - Paste one of the prompts below and point your agent at the extracted folder. ## Suggested prompts ### New install ```text 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. ``` ### Upgrade existing ```text 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. ``` ## Machine-readable fields ```json { "schemaVersion": "1.0", "item": { "slug": "realtime-dashboard", "name": "Realtime Dashboard", "source": "tencent", "type": "skill", "category": "数据分析", "sourceUrl": "https://clawhub.ai/wpank/realtime-dashboard", "canonicalUrl": "https://clawhub.ai/wpank/realtime-dashboard", "targetPlatform": "OpenClaw" }, "install": { "downloadUrl": "/downloads/realtime-dashboard", "sourceDownloadUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=realtime-dashboard", "sourcePlatform": "tencent", "targetPlatform": "OpenClaw", "packageFormat": "ZIP package", "primaryDoc": "SKILL.md", "includedAssets": [ "README.md", "SKILL.md" ], "downloadMode": "redirect", "sourceHealth": { "source": "tencent", "status": "healthy", "reason": "direct_download_ok", "recommendedAction": "download", "checkedAt": "2026-04-23T16:43:11.935Z", "expiresAt": "2026-04-30T16:43:11.935Z", "httpStatus": 200, "finalUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=4claw-imageboard", "contentType": "application/zip", "probeMethod": "head", "details": { "probeUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=4claw-imageboard", "contentDisposition": "attachment; filename=\"4claw-imageboard-1.0.1.zip\"", "redirectLocation": null, "bodySnippet": null }, "scope": "source", "summary": "Source download looks usable.", "detail": "Yavira can redirect you to the upstream package for this source.", "primaryActionLabel": "Download for OpenClaw", "primaryActionHref": "/downloads/realtime-dashboard" }, "validation": { "installChecklist": [ "Use the Yavira download entry.", "Review SKILL.md after the package is downloaded.", "Confirm the extracted package contains the expected setup assets." ], "postInstallChecks": [ "Confirm the extracted package includes the expected docs or setup files.", "Validate the skill or prompts are available in your target agent workspace.", "Capture any manual follow-up steps the agent could not complete." ] } }, "links": { "detailUrl": "https://openagent3.xyz/skills/realtime-dashboard", "downloadUrl": "https://openagent3.xyz/downloads/realtime-dashboard", "agentUrl": "https://openagent3.xyz/skills/realtime-dashboard/agent", "manifestUrl": "https://openagent3.xyz/skills/realtime-dashboard/agent.json", "briefUrl": "https://openagent3.xyz/skills/realtime-dashboard/agent.md" } } ``` ## Documentation ### 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 = 0} /> ### Step 6: Animated Displays Add smooth number animations. Read: ai/skills/design-systems/animated-financial-display ### 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: ### 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 ## Trust - Source: tencent - Verification: Indexed source record - Publisher: wpank - Version: 1.0.0 ## Source health - Status: healthy - Source download looks usable. - Yavira can redirect you to the upstream package for this source. - Health scope: source - Reason: direct_download_ok - Checked at: 2026-04-23T16:43:11.935Z - Expires at: 2026-04-30T16:43:11.935Z - Recommended action: Download for OpenClaw ## Links - [Detail page](https://openagent3.xyz/skills/realtime-dashboard) - [Send to Agent page](https://openagent3.xyz/skills/realtime-dashboard/agent) - [JSON manifest](https://openagent3.xyz/skills/realtime-dashboard/agent.json) - [Markdown brief](https://openagent3.xyz/skills/realtime-dashboard/agent.md) - [Download page](https://openagent3.xyz/downloads/realtime-dashboard)