litestar-data-services

Implement typed CRUD service layers with filters and pagination for Litestar applications.

13|Updated Apr 15, 2026
One-click install
npx skills add https://github.com/litestar-org/litestar-skills --skill litestar-data-services
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: litestar-data-services
Source: https://github.com/litestar-org/litestar-skills/tree/main/plugins/litestar/skills/litestar-data-services
Command: npx skills add https://github.com/litestar-org/litestar-skills --skill litestar-data-services

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill solves the common pain point of inconsistent data service layer implementation in Litestar applications, which leads to bloated route handlers, duplicated query logic, mixed persistence stacks, and inconsistent API response shapes for CRUD operations, filters, and pagination.

Core Features & Use Cases

  • Multi-stack service patterns: Provides opinionated, canonical patterns for building service layers with advanced-alchemy, sqlspec, or raw SQLAlchemy, ensuring consistency across your project's data access layer.
  • Built-in filter and pagination guidance: Includes native patterns for filter dependencies and pagination envelopes that align with Litestar's conventions, eliminating the need to hand-roll query parameters or response shapes.
  • Guardrails and validation: Enforces best practices like keeping controllers thin, avoiding mixed persistence stacks, and ensuring explicit DTO conversion, with a built-in validation checkpoint to catch common mistakes early.
  • Use Case: For example, when building a user management API, use this Skill to implement a consistent UserService with built-in CRUD operations, filtered list endpoints with pagination, and proper DTO conversion without writing repetitive query logic.

Quick Start

Use the litestar-data-services skill to implement a typed CRUD service layer with filter and pagination support for your Litestar app's user domain.

Frequently Asked Questions about litestar-data-services

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

FAQPage Schema
How do I structure a CRUD service layer in Litestar to keep route handlers thin?

To structure a CRUD service layer in Litestar, implement canonical service boundaries with typed DTO responses and explicit persistence stack usage to keep route handlers thin. This eliminates bloated controllers and duplicated query logic in Litestar applications.

What is the best way to implement filter dependencies and pagination envelopes in Litestar?

The best way to implement filter dependencies and pagination envelopes in Litestar is to apply native patterns that align with Litestar's conventions. This eliminates the need to hand-roll query parameters or inconsistent API response shapes for filtered list endpoints.

Can I use raw SQLAlchemy instead of advanced-alchemy for Litestar data services?

Yes, you can use raw SQLAlchemy for Litestar data services. The skill provides opinionated, canonical patterns for building service layers with advanced-alchemy, sqlspec, or raw SQLAlchemy, ensuring consistency across your project's data access layer.

Why does my Litestar application have inconsistent API response shapes for CRUD operations?

Inconsistent API response shapes for CRUD operations in Litestar usually stem from mixed persistence stacks and duplicated query logic. Applying canonical data access patterns with explicit DTO conversion resolves these inconsistencies and standardizes outputs.