Validates Avro, Protobuf, and JSON Schema compatibility against Confluent Schema Registry using the REST API. Enforces backward/forward/full compatibility modes and detects breaking schema evolution changes.
Scanned 6/8/2026
Install via CLI
openskills install agentskillexchange/skills---
name: "Apache Kafka Schema Registry Validator"
slug: "kafka-schema-registry-validator"
description: "Validates Avro, Protobuf, and JSON Schema compatibility against Confluent Schema Registry using the REST API. Enforces backward/forward/full compatibility modes and detects breaking schema evolution changes."
github_stars: 3992
verification: "security_reviewed"
source: "https://github.com/tulios/kafkajs"
category: "Data Extraction & Transformation"
framework: "Claude Agents"
tool_ecosystem:
github_repo: "tulios/kafkajs"
github_stars: 3992
npm_package: "kafkajs"
npm_weekly_downloads: 2520588
---
# Apache Kafka Schema Registry Validator
Validates Avro, Protobuf, and JSON Schema compatibility against Confluent Schema Registry using the REST API. Enforces backward/forward/full compatibility modes and detects breaking schema evolution changes.
## Installation
Use the upstream install or setup path that matches your environment:
- npm install kafkajs
Requirements and caveats from upstream:
- A modern Apache Kafka® client for Node.js
- KafkaJS is a modern [Apache Kafka](https://kafka.apache.org/) client for Node.js. It is compatible with Kafka 0.10+ and offers native support for 0.11 features.
- const { Kafka } = require('kafkajs')
Basic usage or getting-started notes:
- [Getting Started](#getting-started)
- [Usage](#usage)
- ### <a name="getting-started"></a> Getting Started
- Source: https://github.com/tulios/kafkajs
- Extracted from upstream docs: https://raw.githubusercontent.com/tulios/kafkajs/HEAD/README.md
## Source
- [Agent Skill Exchange](https://agentskillexchange.com/skills/kafka-schema-registry-validator/)
No comments yet. Be the first to comment!
Ultra-compressed communication mode. Cuts token usage ~75% by speaking like caveman while keeping full technical accuracy. Supports intensity levels: lite, full (default), ultra, wenyan-lite, wenyan-full, wenyan-ultra. Use when user says "caveman mode", "talk like caveman", "use caveman", "less tokens", "be brief", or invokes /caveman. Also auto-triggers when token efficiency is requested.