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Kafka

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platformatic·vlatest·backend·Apache-2.0

Kafka enables seamless data streaming integration, allowing your content to react in real-time based on events within your Kafka topics.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add platformatic/skills --skill kafka -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

platformatic

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Only contacts known or declared hosts: api.plt.local, notification-service.plt.local, worker.plt.local.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

    Hosts contacted

    api.plt.locallocalnotification-service.plt.locallocalworker.plt.locallocal

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned platformatic/skills at 354f8cf9a6.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
354f8cf9a6
Manifest
skills/kafka/SKILL.md
Scanned
4 files, 1,685 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

This skill provides access to Apache Kafka, a distributed streaming platform. It allows AI agents to produce and consume messages from Kafka topics, enabling real-time data pipelines and event-driven architectures. The agent can interact with brokers, create topics, and manage consumer groups for reliable message processing.

When to use it

  • Real-time analytics: Integrate sensor data or website activity into a streaming analytics platform.
  • Event-driven applications: Trigger actions in other systems based on events published to Kafka topics (e.g., order creation, user signups).
  • Data integration: Move data between different databases and applications using Kafka as an intermediary.
  • Log aggregation: Collect logs from multiple servers and centralize them for analysis.

Key capabilities

  • Produce messages to Kafka topics.
  • Consume messages from Kafka topics.
  • Create and manage Kafka topics.
  • Interact with Kafka brokers.
  • Manage consumer groups.

Example prompts

  • "Publish a message 'order_created' with details {order_id: 123, customer_id: 456} to the 'orders' topic."
  • "Consume all new messages from the 'user_activity' topic and summarize them."
  • “Create a Kafka topic named ‘inventory_updates’ with three partitions.”

Tips & gotchas

  • Requires familiarity with Kafka concepts like brokers, topics, and consumer groups.
  • Ensure proper authentication credentials are provided for accessing the Kafka cluster.