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.

Process

Installs
2
First Seen
Sep 7, 2026
data-streaming — quantumquirkxyz/skills-quirk