frontend-impl

Build a responsive dashboard with WebSocket live updates and SVG charts.

2|Updated Mar 27, 2026
One-click install
npx skills add https://github.com/jaydenchoe/agentic-dev-gauge --skill frontend-impl-jaydenchoe
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: frontend-impl
Source: https://github.com/jaydenchoe/agentic-dev-gauge/tree/main/.claude/skills/frontend-impl
Command: npx skills add https://github.com/jaydenchoe/agentic-dev-gauge --skill frontend-impl-jaydenchoe

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Tiny Monitor frontend implementation guide provides a practical blueprint to build a real-time, responsive dashboard UI for monitoring system metrics and AI usage, enabling quick integration into AI coding assistants.

Core Features & Use Cases

  • Design system-driven frontend with responsive layout, SVG gauges, and dynamic charts.
  • WebSocket-based live updates for metrics and usage data.
  • Modular architecture with a clear project structure (src/static, charts, websocket, settings) for easy extension and maintenance.
  • Use cases include monitoring CPU/memory/disk, observing AI service quotas, and configuring thresholds via a settings page.

Quick Start

Follow this guide to set up and run the Tiny Monitor frontend locally, including the project structure, styling system, and WebSocket client integration.

Frequently Asked Questions about frontend-impl

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

FAQPage Schema
How do I build a real-time responsive dashboard for monitoring system metrics?

To build a real-time dashboard, use a modular project structure with WebSocket-based live updates and SVG charts, enabling responsive monitoring of system metrics and AI usage across desktop and mobile scenarios.

How does WebSocket integration work for live dashboard updates?

WebSocket integration works by establishing a persistent connection to stream live metrics and usage data directly to the frontend, allowing the dashboard to render real-time updates without manual page refreshes.

Can I use SVG charts for visualizing CPU and memory metrics on mobile devices?

Yes, you can use SVG charts for visualizing CPU and memory metrics on mobile devices. The dashboard employs a responsive layout that adapts SVG gauges and dynamic charts for both desktop and mobile scenarios.

How do I set up API keys and thresholds for an AI usage monitoring dashboard?

Set up API keys and thresholds by utilizing the dashboard's dedicated settings page, which allows users to configure specific thresholds and manage API keys for observing AI service quotas and system metrics.

What is the best way to structure a frontend project for real-time monitoring?

The best way to structure a real-time monitoring frontend is using a modular architecture with clear directories for static assets, charts, websocket client integration, and settings, ensuring easy extension and maintenance.

Does the frontend dashboard support custom thresholds for system metrics?

Yes, the frontend dashboard supports custom thresholds for system metrics. It includes a settings page specifically designed for configuring thresholds and managing API keys to monitor AI service quotas effectively.