Apache Kafka Schema Extractor
SkillAI & modelsExtracts and transforms Avro, Protobuf, and JSON Schema definitions from Confluent Schema Registry. Generates typed data models and validates schema compatibility using the Schema Registry REST API.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the Apache Kafka Schema Extractor skill
What this skill tells your AI
The instructions your AI receives, as published by agentskillexchange/skills in skills/apache-kafka-schema-extractor/SKILL.md and read by ahel’s review.
Extracts and transforms Avro, Protobuf, and JSON Schema definitions from Confluent Schema Registry. Generates typed data models and validates schema compatibility using the Schema Registry REST API.
Installation
Use the upstream install or setup path that matches your environment:
- docker run -p 9092:9092 apache/kafka:latest
Requirements and caveats from upstream:
- Using docker image:
- See docker/README.md for detailed information.
Basic usage or getting-started notes:
-
Build a JAR and run it
-
Run unit/integration tests
-
./gradlew test -Pkafka.test.run.flaky=true # runs tests that are marked as flaky
-
Source: https://github.com/apache/kafka
-
Extracted from upstream docs: https://raw.githubusercontent.com/apache/kafka/HEAD/README.md
Source
Signals
- GitHub stars
- 38
- Forks
- 53
- Last commit
- Sep 2026
Advanced
- Catalog kind
- skill
- Gateway key
apache-kafka-schema-extractor- Source
- github.com/agentskillexchange/skills