Can I use this for Confluent Cloud?

Yes, the skill includes specific best practices and configuration patterns for both Confluent Cloud and self-hosted Schema Registry instances.

What schema formats are supported by this skill?

This skill provides comprehensive support for Avro, Protobuf, and JSON Schema, offering format comparisons and best practices for each within the Confluent ecosystem.

Does it provide code for Kafka producers and consumers?

Yes, it includes implementation examples using libraries like KafkaJS for registering, encoding, and decoding messages with Schema Registry.

How does this skill help with schema compatibility?

It provides a detailed decision tree and guidance for choosing between BACKWARD, FORWARD, FULL, and TRANSITIVE compatibility modes to ensure safe schema evolution.

How do I troubleshoot 'Unknown magic byte' errors?

The skill identifies this as a serialization mismatch and provides solutions for ensuring producers and consumers are correctly using the Schema Registry encoder.

Confluent Schema Registry Expert

Name: Confluent Schema Registry Expert
Author: anton-abyzov

byanton-abyzov

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API開発

Manages schema evolution and compatibility for Avro, Protobuf, and JSON Schema within the Kafka ecosystem.

概要

This skill provides specialized expertise in Confluent Schema Registry, helping developers manage complex data contracts using Avro, Protobuf, and JSON Schema. It offers deep guidance on schema evolution strategies, compatibility modes such as BACKWARD and FULL_TRANSITIVE, and validation workflows to ensure data integrity across Kafka producers and consumers in both Confluent Cloud and self-hosted environments. Use this skill to prevent breaking changes, optimize message serialization, and implement robust data governance in event-driven architectures.

主な機能

Expertise in Avro, Protobuf, and JSON Schema management
Automated schema evolution patterns and field modification rules
13 GitHub stars
Integration patterns for Kafka producers and consumers
Deep-dive guidance on Schema Registry compatibility modes
Troubleshooting for common registration and magic byte errors

ユースケース

Configuring Schema Registry compatibility for microservices architectures
Evolving production Kafka schemas without breaking downstream consumers
Validating and registering schemas via CLI or REST API workflows

概要

主な機能

Expertise in Avro, Protobuf, and JSON Schema management
Automated schema evolution patterns and field modification rules
13 GitHub stars
Integration patterns for Kafka producers and consumers
Deep-dive guidance on Schema Registry compatibility modes
Troubleshooting for common registration and magic byte errors

ユースケース

Configuring Schema Registry compatibility for microservices architectures
Evolving production Kafka schemas without breaking downstream consumers
Validating and registering schemas via CLI or REST API workflows