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kafka-stream-processing — Claude Code skill: setup and guide

Guides your coding assistant through Apache Kafka stream pipelines, event streaming patterns, and Kafka Streams task topologies. Fits data engineering workflows.

Install into Claude Code · Skills CLI (Vercel) All methods and platforms ↓ 
npx skills add manutej/luxor-claude-marketplace --skill kafka-stream-processing -a claude-code
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What kafka-stream-processing does

This skill teaches coding agents how to build event-driven backends on Apache Kafka. It outlines partition architecture, producer behaviors, and consumer coordination. The material also details delivery guarantees, contrasting standard at-least-once retries with transactional exactly-once processing.

Execution limits mirror Kafka's internal structure. In Kafka Streams, the number of input partitions dictates your maximum task parallelism. If a topic has 5 partitions, launching 6 application instances leaves one node completely idle. That idle instance serves only as a backup.

Topic maintenance requires caution. While kafka-topics.sh lets you raise partition counts via --alter, Kafka cannot lower them later. Adding partitions also leaves historical records right where they were, which can disrupt custom partitioning logic.

What it helps with

  • configure partitions and replication settings using kafka-topics.sh
  • manage parallel stream processing across Kafka Streams tasks
  • apply transactional exactly-once semantics to data pipelines
  • structure producer and consumer groups for microservice events

Example prompts for the agent

  • Create a new Kafka topic named orders with 20 partitions and replication factor 3 using kafka-topics.sh.
  • Explain how Kafka Streams distributes 5 topic partitions among worker application instances.
  • Configure producer retries and consumer offsets for an at-least-once messaging pipeline.

How to install kafka-stream-processing

1Skills CLI (Vercel)

npx skills add manutej/luxor-claude-marketplace --skill kafka-stream-processing -a claude-code

2Manually: put the files in place

~/.claude/skills/kafka-stream-processing/SKILL.md

Copy the whole skill folder; for one project use .claude/skills/kafka-stream-processing/

Step by step, with commands for each platform: How to install skills in Claude Code: five ways

Questions about kafka-stream-processing

How do I install kafka-stream-processing in Claude Code?

Run npx skills add manutej/luxor-claude-marketplace --skill kafka-stream-processing -a claude-code in your terminal. This saves the skill file to ~/.claude/skills/kafka-stream-processing/SKILL.md.

What does kafka-stream-processing do?

It provides structured guidance on developing streaming systems with Apache Kafka. It helps your assistant generate topic configurations, manage partition limits, and structure Kafka Streams topologies.

Can I decrease the partition count of an existing Kafka topic?

No, Kafka does not allow decreasing partition counts. You can only increase them with bin/kafka-topics.sh --alter, and newly added partitions will not rebalance existing records.

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