data-streaming
Installation
SKILL.md
Contract
- Input: stream source descriptions, processing requirements, latency/throughput targets.
- Output: topology design + event schema + processing rules.
- Side effects: may deploy stream resources when executed.
- Dependencies: streaming platform access (Kafka / Kinesis / Pub/Sub / Flink).
- Stop condition: design saved; rules documented.
- Risk: medium — stream errors propagate quickly; requires testing.
- Boundary: designs stream; executes only with explicit approval.
Streaming Pipeline Design
Design a streaming pipeline — event producers, stream processors, consumers — with schema, processing rules, and reliability.