pydantic-api-endpoint

Name: pydantic-api-endpoint
Availability: InStock
Author: pixl

Generate Pydantic schemas, FastAPI CRUD routes, repositories, and tests.

2|Updated Mar 16, 2026

Search Tags:#api #pydantic #fastapi #repository #crud #code-generation

Ready to run

npx skills add https://github.com/hamzaPixl/pixl-ai --skill pydantic-api-endpoint

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: pydantic-api-endpoint
Source: https://github.com/hamzaPixl/pixl-ai/tree/main/packages/crew/skills/pydantic-api-endpoint
Command: npx skills add https://github.com/hamzaPixl/pixl-ai --skill pydantic-api-endpoint

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill eliminates the manual effort of writing Pydantic models, route handlers, repository layers, and tests when adding a new entity to a FastAPI service.

Core Features & Use Cases

Automatic Schema Generation: Generates request and response Pydantic models for create, update, filter, detail, list, and summary.
Repository Stubs: Creates repository interface and implementation when a repository layer exists, including pagination and filtering.
CRUD Route Scaffold: Adds FastAPI CRUD endpoints with dependency injection, authentication hooks, and OpenAPI metadata.
Test Suite: Generates unit tests for each endpoint to ensure correctness.

Use case: When a developer needs to expose a new resource, such as a "Project" entity, they can invoke this skill to scaffold all necessary code in seconds.

Quick Start

Create a full CRUD API for a new Project entity in my FastAPI service.

Frequently Asked Questions about pydantic-api-endpoint

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

FAQPage Schema

How do I generate FastAPI CRUD endpoints with Pydantic models?▼

To generate FastAPI CRUD endpoints with Pydantic models, you can scaffold route handlers, request and response schemas, repository layers, and test cases automatically. This eliminates manual boilerplate when exposing a new resource.

What is the best way to add a repository layer to a FastAPI service?▼

The best way to add a repository layer is using a scaffold tool that generates repository interfaces and implementations with pagination and filtering. This integrates smoothly with FastAPI dependency injection and Pydantic schemas.

Can I automatically generate Pydantic schemas for create, update, and filter operations?▼

Yes, you can automatically generate Pydantic schemas for create, update, filter, detail, list, and summary operations. This provides standardized request and response models for your FastAPI route handlers.

How do I scaffold unit tests for FastAPI route handlers?▼

You can scaffold unit tests for FastAPI route handlers by generating test suites alongside your CRUD endpoints. This ensures each create, read, update, and delete operation has corresponding tests for correctness.

Does FastAPI code generation include authentication hooks and OpenAPI metadata?▼

Yes, FastAPI code generation includes authentication hooks and OpenAPI metadata within the CRUD route scaffolds. This ensures generated endpoints are secure and properly documented out of the box.