backend-architect

Design server-side modules with Controller-Service-Repository patterns and structured error handling.

2|Updated Feb 3, 2026
One-click install
npx skills add https://github.com/k1lgor/virtual-company --skill backend-architect-k1lgor
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: backend-architect
Source: https://github.com/k1lgor/virtual-company/tree/main/skills/13-backend-architect
Command: npx skills add https://github.com/k1lgor/virtual-company --skill backend-architect-k1lgor

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Designing and implementing robust server-side logic is hard: it requires clean separation of concerns, stable error handling, and scalable data access patterns to support growth and reliability.

Core Features & Use Cases

  • Separation of concerns: split Controllers (HTTP) from Services (Business Logic) and Data Access (Repositories/DAOs) to improve maintainability.
  • Robust error handling and validation: provide a consistent error surface and input validation at the boundary.
  • Async & scalability guidance: promote non-blocking I/O, proper concurrency handling, and scalable service composition for Node, Python, Go, or Java backends.

Quick Start

Create a new backend module that uses a Controller-Service-Repository pattern following clean architecture guidelines.

Frequently Asked Questions about backend-architect

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

FAQPage Schema
How do I separate business logic from HTTP controllers in a backend service?

Separate business logic from HTTP controllers by adopting a Controller-Service-Repository pattern, which isolates request handling, enforces business rules, and centralizes data access. This clean architecture improves modularization and testability.

What is the best way to structure error handling and input validation in web APIs?

The best way to structure error handling in web APIs is to enforce input validation at the boundary and provide a consistent error surface. This ensures reliable processing across service layers and maintains a stable separation of concerns.

How do I build non-blocking and scalable backend modules for Node or Python?

Build scalable backend modules by applying non-blocking I/O, proper concurrency handling, and scalable service composition. This approach supports reliable server-side logic growth across Node, Python, Go, or Java environments.

Does this backend architecture design support multiple programming stacks?

Yes, this backend architecture design supports multiple stacks including Node, Python, Go, and Java. It applies clean architecture principles across various server-side environments to guide controllers, services, and data access layers.

When do I need a service layer and data access layer in my backend architecture?

You need a service layer and data access layer when your backend requires strict separation of concerns, modularization, and maintainability. This structure isolates business logic from data access patterns to support scalable web API growth.

Why does my backend module lack testability and maintainability?

Your backend module lacks testability and maintainability when defined boundaries between controllers, services, and repositories are missing. Implementing structured separation of concerns and reliable error handling resolves these architectural limitations.