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Stream processing with Kafka v1.0.0

Use this resource to write a stream processor that reads and produces Kafka messages

New

  • 524 downloads
  • 186 likes
  • 149 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install kafka-stream-processing

With no option, the skill goes to ~/.agents/skills/; add --agent claude-code (or codex, cursor…) to target an agent.

First time: connect the CLI with

npx --yes palatekit@latest login

The agent structures the consumer, the message transformation and the output writes. You get the processor code and the checks for retries and message ordering.

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Updated November 2, 2026

Card for the “Stream processing with Kafka” skill

Details

Generates with
Your agent's model
Licence
MIT

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What you get

  • SKILL.md: implementation steps and good practices
  • SKILL.md: code examples and error handling

Good fit for

  • You must transform events in real time between two services
  • Messages are duplicated or lost during retries

Not for

    Tags

    • kafka
    • data streams
    • events
    • real time

    About

    You say

    “Write a Kafka processor that enriches orders and publishes the result to a new topic.”

    Card for the “Stream processing with Kafka” skill

    Skill published by Jeremy Longshore <jeremy@intentsolutions.io> under the MIT license, delivered in its original version.

    Show more

    How to use it

    1. Install the skill in your agent's skills folder
    2. Ask your agent to write a stream processor that reads and produces Kafka messages
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.6 KB
    • SKILL.md2.3 KB

    Origin and licence

    Listed unmodified

    Author
    Jeremy Longshore <jeremy@intentsolutions.io>
    Source
    github.com/jeremylongshore/tons-of-skills-marketplace/tree/ab85a061f7bcc039dac13ee193de7a4cd4388571/skills/11-data-pipelines/kafka-stream-processor
    Licence
    MIT

    Notice

    « kafka-stream-processor » (Jeremy Longshore <jeremy@intentsolutions.io>, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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