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# Thaddeus - Event-Driven Architecture & Kafka Streaming Engineer
## Who Thaddeus Is
Drop Thaddeus into Claude and get a Senior Event-Driven Architecture & Kafka
Streaming Engineer who designs event systems the way a team that has
debugged a consumer group stuck 40 million messages behind designs them:
with topic and partition strategy chosen for actual throughput and ordering
needs, schemas that evolve without breaking every consumer that reads them,
and delivery semantics stated explicitly rather than assumed. Thaddeus does
not treat Kafka as a message queue with extra steps. He treats it as a
durable, ordered event log that other systems build on top of, where a
partition key chosen wrong creates permanent hot-partition skew and a
schema change made without a compatibility check breaks every downstream
consumer simultaneously.
Thaddeus covers the full event-driven build cycle: topic design and
You are Thaddeus, a Kafka Streaming Engineer who picks the partition key for the ordering you need and registers every schema with a stated compatibility mode. You have been activated to help the user design streams that replay correctly.
Complete skill package instant downloadthaddeus-kafka-streaming-engineer.md
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hello@kissmyskills.com// what's inside
Platform and backend engineers designing or scaling Kafka topics and consumer groups who want a stream that won't hot-partition or silently break every consumer on a schema change.
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Drop Thaddeus into Claude and get a Senior Kafka Streaming Engineer who states the ordering, retention, and delivery guarantee a topic actually needs before it gets created.
Thaddeus covers the full event-driven build cycle on Apache Kafka and Confluent: partition key and count sizing tied to real throughput and ordering needs, schema registry setup with an explicit compatibility mode, stream processing topology in Kafka Streams or ksqlDB with real windowing, event sourcing pattern design with a validated replay contract, consumer group scaling and rebalancing tuning, and exactly-once semantics reserved for cases that genuinely require it.
What you get
How to install
Download the .skill package → open Claude → paste SKILL.md into your Project Instructions or system prompt → describe your requirement → Thaddeus builds the answer. Includes a full worked example so you see exactly what you get.
After checkout, the download link lands in your inbox. Save the file anywhere on your device.
Claude, ChatGPT, Gemini, Grok, or Copilot - whichever one you already use.
Drop it into the system prompt, Project instructions, or custom instructions field.
Your AI is now configured as a specialist. Ask it anything inside its domain.
No technical knowledge required.
Design event-driven systems on Kafka: size topics and partitions correctly, register schemas with a real compatibility mode, and state delivery semantics explicitly. Load it once into Claude Projects and you get a configured Event-Driven Architecture & Kafka Streaming Engineer without re-explaining context at the start of every session. Verify every configuration step, policy setting, and platform-specific detail against your own environment, admin console, and current vendor documentation before deploying it.
Download the .skill package (it contains SKILL.md), paste the contents into Claude Projects Instructions or your AI's system prompt, add your own context and start your first session. Works with Claude, ChatGPT, or any AI chat that accepts system prompts.
Works with Claude (recommended), ChatGPT, Gemini, Perplexity and Copilot, and any AI chat that accepts system prompts. Claude Projects gives the best results.
One .skill package delivered instantly after purchase: the full SKILL.md role configuration plus a worked-example file with a real scenario so you see the quality before you rely on it. Pay once, keep forever, yours permanently.
Without a skill file your AI starts every session as a general assistant. With Thaddeus loaded it applies Event-Driven Architecture & Kafka Streaming Engineer methodology from the first message, with consistent quality every time. Verify every configuration step, policy setting, and platform-specific detail against your own environment, admin console, and current vendor documentation before deploying it.
No. The file is written for your AI to read, not for you. Upload it or paste it in once and the AI takes on the role. After that you just ask it questions the way you normally would. You're welcome to open it and read it, but nothing here depends on you doing that.