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FrancisVarga
FrancisVargaCOMMUNITY
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Dashboard Patterns

Provide frontend patterns for a Next.js dashboard with D3.js visualizations.

Updated Feb 13, 2026
Search Tags:#data visualization#frontend#next.js#dashboard#d3.js#sse#websocket
One-click install
npx skills add https://github.com/FrancisVarga/stupid-db --skill dashboard-patterns-francisvarga
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: Dashboard Patterns
Source: https://github.com/FrancisVarga/stupid-db/tree/main/packages/stupid-claude-agent/.claude/skills/dashboard-patterns
Command: npx skills add https://github.com/FrancisVarga/stupid-db --skill dashboard-patterns-francisvarga

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill provides the foundational patterns and components for building a dynamic, chat-first data dashboard, enabling users to interact with data through natural language queries and receive immediate visual feedback.

Core Features & Use Cases

  • Chat-First Interface: Design a UI where users ask questions and get visualizations, not static reports.
  • D3.js Visualizations: Implement a wide range of charts and graphs using D3.js exclusively.
  • SSE & WebSocket: Handle real-time data streaming for dynamic updates and insights.
  • Use Case: Develop a dashboard for analyzing user activity logs where users can ask "Show me login anomalies from the last 24 hours" and see a real-time anomaly chart appear.

Quick Start

Use the dashboard patterns skill to create a bar chart component using the provided D3.js example.

Frequently Asked Questions about Dashboard Patterns

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I build a chat-first data dashboard in Next.js?▼

To build a chat-first data dashboard in Next.js, you implement a component-driven UI where users input natural language queries and receive immediate D3.js visual feedback. This pattern uses Server-Sent Events (SSE) for query streaming and WebSockets for real-time insights.

How do I stream real-time data to a D3.js visualization?▼

You stream real-time data to D3.js visualizations by using Server-Sent Events (SSE) for query streaming and WebSockets to push live updates. This architecture feeds dynamic data directly into your dashboard charts for immediate visual rendering.

What is the best way to implement a chat-first interface for data visualization?▼

A chat-first interface for data visualization replaces static reports with a conversational UI where user queries generate dynamic charts. Using D3.js for rendering and SSE for streaming responses ensures users get immediate visual feedback from their natural language questions.

Can I use D3.js exclusively for all charts in a Next.js dashboard?▼

Yes, you can use D3.js exclusively for all charts in a Next.js dashboard. This skill provides component-driven patterns that implement a wide range of graphs and visualizations entirely with D3.js, alongside a dark theme and real-time data integration.

How do I handle query streaming for a dynamic data dashboard?▼

You handle query streaming for a dynamic data dashboard by utilizing Server-Sent Events (SSE). SSE pushes query chunks to the frontend, allowing your chat-first interface to process natural language requests and render D3.js visualizations progressively.

Does this dashboard pattern support real-time WebSocket insights?▼

Yes, this dashboard pattern supports real-time WebSocket insights. It integrates WebSockets alongside SSE query streaming to push live updates to D3.js charts, enabling dynamic visualizations like real-time anomaly detection directly within the Next.js interface.

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