streaming-inference-setup

Quick Review

The skill has clear structure and addresses a novel, complex domain (streaming inference setup for ML deployment) that would benefit from automation. However, it severely lacks substance: the description is vague and circular (repeating 'streaming inference setup' without defining what it means), and provides no concrete task knowledge, implementation steps, architecture patterns, code examples, or technical guidance. A CLI agent could not meaningfully execute streaming inference tasks based solely on this description. To improve, add specific details about streaming frameworks (Kafka, Kinesis, etc.), model serving architectures, latency optimization, batch vs. real-time patterns, monitoring setup, and concrete implementation steps or referenced scripts.