confluent-schema-registry

Manage Avro, Protobuf, and JSON Schema compatibility and evolution via Confluent Schema Registry.

156|21|Updated Oct 25, 2025

Search Tags:#compatibility #protobuf #json-schema #schema-registry #avro

Ready to run

npx skills add https://github.com/anton-abyzov/specweave --skill confluent-schema-registry

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: confluent-schema-registry
Source: https://github.com/anton-abyzov/specweave/tree/main/plugins/specweave-confluent/skills/confluent-schema-registry
Command: npx skills add https://github.com/anton-abyzov/specweave --skill confluent-schema-registry

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps teams manage Avro, Protobuf, and JSON Schema schemas, enabling safe schema evolution, compatibility checks, and streamlined registration across Confluent Cloud and self-hosted registries.

Core Features & Use Cases

Supports formats: Avro, Protobuf, JSON Schema
Compatibility Modes: BACKWARD, FORWARD, FULL, NONE, and transitive variants
Schema Evolution & Validation: Evolve schemas safely and validate compatibility
Governance & Registration: Best practices for schema naming and governance

Quick Start

Register an Avro schema and validate compatibility against an existing version in the registry, then perform a test encode.

Frequently Asked Questions about confluent-schema-registry

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

FAQPage Schema

How do I manage schema evolution safely in Kafka without breaking consumers?▼

Schema evolution in Kafka requires compatibility mode selection. Confluent Schema Registry enforces BACKWARD, FORWARD, FULL, or transitive variants to ensure producers and consumers remain compatible as schemas change. Register your Avro, Protobuf, or JSON Schema with the appropriate mode to validate compatibility before deployment.

What's the difference between BACKWARD, FORWARD, and FULL compatibility modes?▼

BACKWARD compatibility allows new consumers to read old data; FORWARD allows old consumers to read new data; FULL supports both directions. Transitive variants extend these guarantees across multiple schema versions. Choose based on your deployment order: consumers first (BACKWARD), producers first (FORWARD), or simultaneous (FULL).

Can I use Confluent Schema Registry with Protobuf and JSON Schema, or only Avro?▼

Confluent Schema Registry supports Avro, Protobuf, and JSON Schema formats. Register, validate, and evolve schemas in any format with the same compatibility modes and governance features, enabling multi-format Kafka ecosystems in production and development environments.

How do I register a schema and validate it against existing versions?▼

Register a schema through the Schema Registry API, specifying the subject, format (Avro, Protobuf, JSON Schema), and compatibility mode. The registry automatically validates the new schema against existing versions in your chosen mode and rejects incompatible changes.

Does schema governance work with both Confluent Cloud and self-hosted registries?▼

Yes. Confluent Schema Registry manages schemas, naming conventions, and topic bindings in both Confluent Cloud and self-hosted deployments. Compatibility enforcement, validation, and evolution workflows operate identically across cloud and on-premises environments.

What happens when a schema change violates the compatibility mode?▼

The Schema Registry rejects the incompatible schema change based on your selected mode. Review the validation error, adjust your schema evolution strategy, or temporarily modify the compatibility mode if the change is intentional and safe for your deployment.