agentic-engineering-for-apache-kafka
Active·★ 65·MIT·Updated 2026-08-21
This project provides a collection of agent skills that empower AI agents and coding tools to act as specialized engineering assistants for Apache Kafka. It enables automated auditing, diagnosis, and remediation suggestions for various Kafka configurations, performance, security, and schema changes.
#Apache Kafka#AI Agents#Agentic Engineering#Dev Tooling#Code Analysis#Performance Tuning#Schema Management
01
Features
01Audits Kafka topic configurations against best practices (e.g., replication factor, retention, partitions, naming conventions).
02Analyzes consumer group lag and diagnoses root causes with remediation suggestions.
03Reviews Kafka schema changes (Avro, Protobuf, JSON Schema) for compatibility and breaking changes.
04Audits Kafka security configurations, including authentication (SASL), encryption (SSL/TLS), and secrets management.
05Scaffolds production-ready Python Kafka producers and consumers with Schema Registry and graceful shutdown.
02
Compatibility
Claude Code
AI Assistant
Verified via docs
Cursor
AI Assistant
Verified via docs
Apache Kafka
Platform
Verified via docs
Lenses MCP Server
Integration
Verified via docs
Python
Language
Verified via docs
03
Quick start
1
$ npx skills add lensesio/agentic-engineering-for-apache-kafka
04
Use cases
↳Automated daily/weekly auditing of Kafka topic configurations and consumer group health.
↳Proactive review of Kafka schema and connector changes during development and pull requests.
↳Diagnosing and resolving performance bottlenecks in Kafka producers and consumers in live clusters.
↳Ensuring Kafka security best practices and compliance across different environments before deployment.
↳Generating realistic synthetic data for Kafka topics for testing and development purposes.
05
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