kafka-python-client
bylensesio· 10 skills
Scaffold a production-ready Python Kafka producer and consumer using confluent-kafka-python, with Schema Registry, graceful shutdown, idempotent producer, tests and a complete project layout. Discovers the target topic, partition count and registered JSON Schema directly from the live cluster via any attached Kafka MCP server (Lenses MCP, Confluent's MCP, Aiven's, custom) before asking the user. Use when user says "build a Python Kafka consumer", "scaffold a Kafka client in Python", "add Kafka to my Python service", "consume from <topic> in Python" or "write a Kafka producer". Do NOT use for Kafka Connect connectors, schema-evolution reviews or non-Python clients.
How to install kafka-python-client?
lensesio/agentic-engineering-for-apache-kafka/kafka-python-client
$npx -y skills add lensesio/agentic-engineering-for-apache-kafka --skill kafka-python-clientInstalls into the current project.
›Prefer a prompt? Paste this to your agent
Run `npx skills use "https://github.com/lensesio/agentic-engineering-for-apache-kafka" --skill "lensesio/agentic-engineering-for-apache-kafka/kafka-python-client"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/lensesio/agentic-engineering-for-apache-kafka" that are relevant to the current task. Run `npx skills add "https://github.com/lensesio/agentic-engineering-for-apache-kafka"` and select the relevant skills, then follow their instructions.
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