Backend Data Modelling
CommunityStandardize Pydantic models for robust APIs.
Authormazerunner70
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill establishes clear conventions for Pydantic models, ensuring data integrity, consistent API contracts, and efficient data handling in backend systems.
Core Features & Use Cases
- DTO Pattern Enforcement: Guides the separation of database models, creation DTOs, and update DTOs.
- Field Validation Standards: Enforces snake_case for internal fields with camelCase aliases, and mandates integer timestamps for dates.
- Enum Handling: Provides strategies for robust enum validation against various input types.
- Use Case: Ensure all new API endpoints adhere to a strict data modeling standard, preventing common errors related to data types, naming conventions, and optional fields.
Quick Start
Follow the conventions outlined in this skill for defining new Pydantic models.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: Backend Data Modelling Download link: https://github.com/mazerunner70/housef3/archive/main.zip#backend-data-modelling Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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