kafka-stream-processor
Process kafka stream processor operations. Auto-activating skill for Data Pipelines. Triggers on: kafka stream processor, kafka stream processor Part of the Data Pipelines skill category. Use when working with kafka stream processor functionality. Trigger with phrases like "kafka stream processor", "kafka processor", "kafka". '
Profile →npx skills add jeremylongshore/claude-code-plugins-plus-skills --skill kafka-stream-processor --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Kafka Stream Processor ## Overview This skill provides automated assistance for kafka stream processor tasks within the Data Pipelines domain. ## When to Use This skill activates automatically when you: - Mention "kafka stream processor" in your request - Ask about kafka stream processor patterns or best practices - Need help with data pipeline skills covering etl, data transformation, workflow
What does the kafka-stream-processor skill do?
Process kafka stream processor operations. Auto-activating skill for Data Pipelines. Triggers on: kafka stream processor, kafka stream processor Part of the Data Pipelines skill category. Use when working with kafka stream processor functionality. Trigger with phrases like "kafka stream processor", "kafka processor", "kafka". '
How do I install it?
Run `npx skills add jeremylongshore/claude-code-plugins-plus-skills --skill kafka-stream-processor --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From jeremylongshore/claude-code-plugins-plus-skills, a repository with 2,596 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.