api-data-layer

Enforce clean API and data access boundaries in web apps.

Updated Jan 1, 2026
One-click install
npx skills add https://github.com/MORTAKI0/doittimer --skill api-data-layer
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: api-data-layer
Source: https://github.com/MORTAKI0/doittimer/tree/main/.codex/skills/api-data-layer
Command: npx skills add https://github.com/MORTAKI0/doittimer --skill api-data-layer

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Prevent data access sprawl by introducing clear boundaries, predictable contracts, and reusable server-side data flows.

Core Features & Use Cases

  • Clear layering model that separates ui, actions/route/loaders, services, and repositories/clients.
  • Folder pattern guidance for structuring code (e.g., src/features/... with server, actions, services, repositories, mappers, types).
  • Review checklist to enforce consistency and guard against raw backend calls, duplicated request logic, leaked entities, and inconsistent error handling.

Quick Start

Create a new api-data-layer module and align it to the described layers and folder pattern.

Frequently Asked Questions about api-data-layer

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

FAQPage Schema
How do I structure my API data layer to prevent data access sprawl?

To prevent API data access sprawl, structure your backend into clear layers: UI, actions or route loaders, services, and repositories. This separation enforces predictable contracts and prevents duplicated request logic or raw backend calls.

What is the best way to organize repository and service layers in a web app?

The best way to organize repository and service layers is using a structured folder pattern like src/features, isolating server actions, services, repositories, mappers, and types to enforce clean data access boundaries and prevent leaked entities.

Why does my server actions logic have duplicated request handling and inconsistent errors?

Duplicated request handling and inconsistent errors in server actions occur when data access boundaries are unclear. Defining distinct service and repository layers enforces predictable contracts and consistent error handling across your web app.

How do I separate route handlers and server actions from backend data fetching?

You separate route handlers and server actions from backend data fetching by introducing a service layer for business logic and a repository layer for data access, ensuring your UI and actions never make raw backend calls directly.

Can I use a strict data layer model for scaling my backend integration logic?

Yes, you can use a strict data layer model for scaling backend integration logic. Applying a review checklist guards against inconsistent error handling and duplicated requests, ensuring your architecture remains predictable as it grows.