creating-dashboards

Create coordinated analytics dashboards with KPI cards, charts, tables, and shared filters.

Updated Feb 22, 2026
One-click install
npx skills add https://github.com/KaranKathur06/Metal-Hub --skill creating-dashboards-karankathur06
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: creating-dashboards
Source: https://github.com/KaranKathur06/Metal-Hub/tree/main/.cursor/skills/creating-dashboards
Command: npx skills add https://github.com/KaranKathur06/Metal-Hub --skill creating-dashboards-karankathur06

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

It solves the challenge of designing and implementing analytics dashboards that coordinate KPI cards, charts, tables, filters, and real-time updates into a single, responsive interface.

Core Features & Use Cases

  • Dashboard orchestration: Combine multiple widget types (KPI, charts, tables, filters) into a unified dashboard experience.
  • Real-time and periodic updates: Support SSE, WebSocket, and smart polling patterns so metrics stay current.
  • Cross-widget filtering: Maintain global filter state so all widgets update together based on date ranges and other coordinated filters.
  • Responsive, configurable layout: Use fixed layouts or user-customizable grid layouts with responsive breakpoints.
  • Performance and operations: Apply lazy loading, parallel fetching, caching/TTL, and export utilities for operational readiness.

Quick Start

Create a dashboard that shows KPI cards, charts, and a coordinated filter panel with real-time updates using SSE and a responsive grid layout.

Frequently Asked Questions about creating-dashboards

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

FAQPage Schema
How do I build a real-time analytics dashboard with coordinated filters?

Build a real-time analytics dashboard by combining KPI cards, charts, and tables into a responsive grid layout with shared global filter context. This ensures all widgets update together based on coordinated date ranges and cross-widget filter state for consistent decision-making.

What is the best way to integrate SSE and WebSocket updates for live dashboard metrics?

Integrate live dashboard metrics using Server-Sent Events (SSE), WebSocket, or smart polling patterns. This approach keeps KPI cards and charts current with real-time updates while maintaining performance through lazy loading and caching/TTL strategies.

How do I create a customizable widget-based dashboard with a responsive grid layout?

Create a customizable widget-based dashboard using fixed or user-configurable responsive grid layouts. Apply responsive breakpoints to automatically adjust widget placement across different screen sizes for optimal viewing and executive reporting.

Can I use cross-widget filter context to update multiple dashboard widgets simultaneously?

Yes, cross-widget filter context maintains global filter state so all dashboard widgets update simultaneously. When users change date ranges or other coordinated filters, KPI cards, charts, and tables refresh together for consistent decision-making across the interface.

What are the performance considerations for real-time monitoring dashboards with multiple widgets?

Performance considerations for real-time monitoring dashboards include implementing lazy loading, parallel fetching, and caching/TTL strategies. Additionally, apply loading and error boundaries to handle widget failures gracefully without crashing the entire dashboard interface.

Does this dashboard approach support exporting to PDF, image, and data formats?

Yes, the dashboard implementation supports export utilities for PDF, image, and data formats. This enables operational readiness by allowing users to generate reports and share dashboard snapshots from the coordinated analytics interface for business intelligence.