Event Schema Generator

Generate Pydantic schemas, Kafka producer, and consumer code for event-driven systems.

3|Updated Dec 29, 2025
One-click install
npx skills add https://github.com/IsmailAbdulkareem/Hackathon-II-Todo-Cli --skill event-schema-generator
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: Event Schema Generator
Source: https://github.com/IsmailAbdulkareem/Hackathon-II-Todo-Cli/tree/main/.claude/skills/event-schema
Command: npx skills add https://github.com/IsmailAbdulkareem/Hackathon-II-Todo-Cli --skill event-schema-generator

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill automates the creation of Pydantic schemas and boilerplate code for Kafka event-driven architectures, significantly reducing the manual effort and potential for errors in defining event contracts.

Core Features & Use Cases

  • Pydantic Schema Generation: Creates type-safe, validated event models.
  • Boilerplate Code: Generates Kafka producer and consumer code, base event classes, and serializers.
  • Use Case: When developing a new microservice that needs to publish 'UserRegistered' events, you can use this Skill to quickly generate the UserRegistered Pydantic model, the BaseEvent class, and the necessary Kafka producer logic, ensuring consistency and adherence to event-driven best practices.

Quick Start

Use the event-schema skill to generate schemas for a 'UserCreated' event with 'user_id (UUID), email (str), and created_at (datetime)' fields.

Frequently Asked Questions about Event Schema Generator

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

FAQPage Schema
How do I generate Pydantic schemas for Kafka event-driven microservices?

To generate Pydantic schemas for Kafka, define your event types and fields to automatically produce validated event models, base classes, and producer or consumer boilerplate code.

What is the best way to create boilerplate Kafka producer and consumer code?

The best way to create boilerplate Kafka producer and consumer code is to define your event contracts, which generates the necessary serialization logic, base event classes, and robust messaging components automatically.

Can I include event versioning and correlation IDs in generated Kafka schemas?

Yes, you can include event versioning and correlation IDs in generated Kafka schemas to facilitate rapid development and maintain consistency across distributed event-driven architectures.

Does this approach work with JSON serialization for event-driven architectures?

Yes, this approach works with JSON serialization for event-driven architectures by generating Pydantic models that ensure type safety and validation before events are published or consumed.

How do I automate UserRegistered event creation with UUID and datetime fields?

To automate UserRegistered event creation, specify fields like user_id as UUID, email as string, and created_at as datetime to instantly generate the corresponding Pydantic schema and Kafka producer logic.