backend

Enforce backend best practices against over-engineering in APIs and services.

Updated Feb 16, 2026
One-click install
npx skills add https://github.com/atrislabs/atris-plugins --skill backend-atrislabs
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: backend
Source: https://github.com/atrislabs/atris-plugins/tree/main/plugins/atris-workspace/skills/backend
Command: npx skills add https://github.com/atrislabs/atris-plugins --skill backend-atrislabs

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill prevents the common pitfall of over-engineering backend systems, ensuring that APIs, services, and data access layers are built with appropriate complexity and clear intent.

Core Features & Use Cases

  • Enforces Simplicity: Guides developers to avoid unnecessary abstractions and complex patterns.
  • Promotes Clarity: Encourages clear naming conventions and error handling.
  • Use Case: When building a new microservice, this skill ensures you only introduce abstractions after identifying clear patterns, preventing premature complexity.

Quick Start

Use the backend skill to generate a new API endpoint for user authentication.

Frequently Asked Questions about backend

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

FAQPage Schema
How do I prevent over-engineering when building a backend API?

To prevent over-engineering backend APIs, enforce simplicity by avoiding premature abstraction and only introducing complex patterns after clear needs emerge. This ensures services and data access layers are built with appropriate complexity and clear intent.

What are common backend anti-patterns for API design and service development?

Common backend anti-patterns include premature abstraction, unclear naming conventions, and ineffective error handling. Validating code against established architectural policies helps avoid these issues and promotes clarity in service development.

How do I structure a new microservice to avoid unnecessary abstractions?

Structure a new microservice by enforcing simplicity and deferring abstractions until clear patterns are identified. Guide development with established architectural policies to prevent premature complexity in data querying and service layers.

When do I need to validate my service architecture against established patterns?

Validate service architecture against established patterns when implementing core features like API endpoints or data access layers. This ensures adherence to defined architectural policies, preventing over-engineering and promoting effective error handling.

Does enforcing architectural policies help with data querying and error handling?

Enforcing architectural policies directly improves data querying and error handling by emphasizing clear naming and simplicity. It guides developers to build robust backend services without introducing unnecessary complexity.

What is the best way to build a user authentication API endpoint without over-engineering?

The best way to build a user authentication API endpoint is to enforce best practices for backend development, preventing over-engineering. Focus on clear naming and effective error handling while avoiding unnecessary abstractions in the service layer.