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service-layer-architecture

Implement controller-service-query layered REST APIs and GraphQL resolvers with parallel data fetching.

11|4|Updated Feb 9, 2026
Search Tags:#architecture#performance#api#query#controller#service layer
One-click install
npx skills add https://github.com/wpank/ai --skill service-layer-architecture
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: service-layer-architecture
Source: https://github.com/wpank/ai/tree/main/skills/backend/service-layer-architecture
Command: npx skills add https://github.com/wpank/ai --skill service-layer-architecture

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill addresses the complexity of building maintainable and scalable APIs by enforcing a clear separation of concerns through a three-layer architecture, optimizing performance with parallel data fetching.

Core Features & Use Cases

  • Three-Layer Architecture: Enforces distinct responsibilities for controllers (HTTP handling), services (business logic), and queries (database access).
  • Parallel Data Fetching: Significantly improves response times by fetching data from multiple sources concurrently using Promise.all.
  • Use Case: When developing a new REST API endpoint that requires aggregating data from several database tables and external services, this Skill provides a robust pattern to ensure the code is clean, testable, and efficient.

Quick Start

Use the service-layer-architecture skill to implement a controller-service-query pattern for a new API endpoint.

Frequently Asked Questions about service-layer-architecture

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

FAQPage Schema
What is a controller-service-query layered API architecture?▼

It separates HTTP handling into controllers, business logic into services, and database access into queries, ensuring clean separation of concerns for maintainable and scalable REST APIs and GraphQL resolvers.

How do I optimize API performance when aggregating data from multiple database tables?▼

Optimize API performance by using Promise.all to fetch data from multiple database tables and external services concurrently, significantly improving response times over sequential retrieval.

How do I structure a REST API for testability and maintainability?▼

Structure your REST API using a three-layer pattern that isolates controllers for HTTP handling, services for business logic, and queries for database access, making the codebase testable and maintainable.

Can I use this service layer architecture for GraphQL resolvers?▼

Yes, the controller-service-query architecture supports building GraphQL resolvers by mapping resolver functions to the service layer for business logic and the query layer for database access.

What is the best way to separate business logic from database access in an API?▼

The best way to separate business logic from database access is to implement a distinct service layer for business rules and a dedicated query layer for data retrieval operations.

Why does my API response time increase when fetching from multiple services?▼

API response time increases when fetching from multiple external services sequentially; using Promise.all for parallel fetching resolves this by executing data retrieval concurrently.

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