backend-impl

Creates a modular Rocket.Chat bot with customizable plugins and handlers.

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

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill provides a production-ready backend blueprint for real-time system monitoring and AI-usage tracking using FastAPI and Hexagonal Architecture, reducing integration time and promoting clean separation of concerns.

Core Features & Use Cases

  • Modular domain model with ports and adapters to support system metrics, usage data, and notifications.
  • Real-time streaming via WebSocket for live metrics and alerts, with a scalable service layer.
  • Extensible configuration and REST/WebSocket APIs designed for deployment in real-world monitoring workloads.

Quick Start

Start the FastAPI server and verify live metrics streaming through the /ws/live WebSocket endpoint.

Frequently Asked Questions about backend-impl

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

FAQPage Schema
How do I structure a FastAPI backend for real-time monitoring?

Structure a FastAPI real-time monitoring backend using Hexagonal Architecture with defined domain models, ports, services, and adapters. This enforces clean separation of concerns while handling live metrics, usage tracking, and alerts.

How does WebSocket streaming work for live metrics in a monitoring backend?

WebSocket streaming for live metrics works through a dedicated service layer that maintains persistent connections, pushing real-time system metrics and alerts directly to clients via the WebSocket endpoint.

What is hexagonal architecture and when do I need it for a FastAPI service?

Hexagonal architecture isolates domain logic from external interfaces using ports and adapters. You need it for FastAPI services requiring pluggable components, scalable service layers, and strict separation between domain models, REST APIs, and data sources.

Can I use this backend blueprint for production-grade monitoring workloads?

Yes, this backend blueprint targets production-grade monitoring workloads by providing extensible configuration, REST and WebSocket APIs, and a scalable service layer designed for real-world metrics, usage data, and alert deployments.

What's the best way to start the FastAPI server and verify WebSocket metrics?

Start the FastAPI server and verify live metrics streaming by connecting to the /ws/live WebSocket endpoint, which confirms the real-time data pipeline and domain service adapters are functioning correctly.

Do I need external dependencies to implement ports and adapters in this backend?

No external dependencies are required to implement ports and adapters. The blueprint defines pure abstract port interfaces and concrete adapter classes within the FastAPI service layer to support pluggable system metrics and notifications.