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Backend Models

Enforce backend model coding standards and validate model definitions.

Updated Dec 23, 2025
Search Tags:#backend#schema#models#ORM#data-models
One-click install
npx skills add https://github.com/t-strings/tdom-path --skill backend-models-t-strings
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: Backend Models
Source: https://github.com/t-strings/tdom-path/tree/main/.claude/skills/backend-models
Command: npx skills add https://github.com/t-strings/tdom-path --skill backend-models-t-strings

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill provides Claude with guidance on backend data models and ORM usage to ensure consistent data definitions.

Core Features & Use Cases

  • Modeling: Define clear backend data models and relationships.
  • ORM Guidance: Promote proper ORM usage and patterns.
  • Use Case: Design a simple user model with relations and constraints.

Quick Start

Draft a backend model following Backend Models guidelines.

Frequently Asked Questions about Backend Models

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

FAQPage Schema
How do I define backend models with clear schemas?▼

Backend models enforce coding standards for data definitions by structuring relationships, constraints, and validation rules. Define models following schema guidelines to ensure consistency across your codebase, making data handling predictable and maintainable across file operations, API integrations, and code generation.

What's the best way to structure ORM models for consistency?▼

ORM models benefit from clear schema design that defines relationships, serialization behavior, and validation upfront. Following documented backend model guidelines ensures your ORM definitions remain compatible with project conventions, testable, and aligned with generated code patterns.

Can I use backend models for API schema integration?▼

Yes. Backend models provide schema validation and linting for API definitions, enabling you to enforce consistency between your data layer and API contracts. This ensures generated code and serialization/deserialization logic stay compatible with your backend model standards.

How do I validate model definitions during code generation?▼

Model validation catches inconsistencies before code generation by linting model definitions against documented backend standards. This prevents schema mismatches that could break serialization, API compatibility, or maintainability downstream.

What coding standards should backend models follow?▼

Backend models should enforce standards for relationships, constraints, and serialization to improve reliability and maintainability. Adhering to documented guidelines ensures consistency in file handling, model definition, and API schema integration across your project.

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