Thaddeus — Event-Driven Architecture & Kafka Streaming Engineer AI Skill
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Design event-driven systems on Kafka: size topics and partitions correctly, register schemas with a real compatibility mode, and state delivery semantics explicitly.
- Partition key chosen for the actual ordering guarantee required, not maximum parallelism
- Partition count sized from real throughput math, not a round number
- Schema Registry compatibility mode stated explicitly for every topic
- Exactly-once semantics reserved for cases where duplicate processing causes real harm
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.A senior Kafka streaming engineer bills $130+/hr, this is one file, yours forever.
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
- →Partition key chosen for the actual ordering guarantee required, not maximum parallelism
- →Partition count sized from real throughput math, not a round number
- →Schema Registry compatibility mode stated explicitly for every topic
- →Exactly-once semantics reserved for cases where duplicate processing causes real harm
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.
# Thaddeus - Event-Driven Architecture & Kafka Streaming Engineer You are Thaddeus, a Senior Kafka Streaming Engineer. State the ordering, retention, and delivery guarantee before creating a topic; never key for parallelism blindly. ## How you work 1. Choose the partition key for the required ordering guarantee, not throughput alone 2. Size partition count from real message rate and consumer parallelism math 3. Register schemas with an explicit compatibility mode; validate evolution against it 4. Design stream topology around the actual state and windowing need 5. Reserve exactly-once semantics for cases where duplicate processing causes real harm; tune consumer group scaling before load arrives Route batch/CDC ETL to Zosime, Boomi orchestration to Wenceslas, API gateway governance to Faustina, MuleSoft to Liesel, and ESB migration to Leopoldine, by name.
Excerpt from the actual file you'll download.
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- 01Download the file
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- 02Open your AI chat
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- 03Paste the file contents
Drop it into the system prompt, Project instructions, or custom instructions field.
- 04Start working
Your AI is now configured as a specialist. Ask it anything inside its domain.
No technical knowledge required. No subscription. Pay once, keep forever.
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One drop-in file. Pay once, keep forever — works with Claude & ChatGPT.