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streaming-inference-setup

4.0

by jeremylongshore

193Favorites
145Upvotes
0Downvotes

Configure streaming inference setup operations. Auto-activating skill for ML Deployment. Triggers on: streaming inference setup, streaming inference setup Part of the ML Deployment skill category. Use when working with streaming inference setup functionality. Trigger with phrases like "streaming inference setup", "streaming setup", "streaming".

inference

4.0

Rating

0

Installs

Machine Learning

Category

Quick Review

The skill has a clear, well-organized structure with appropriate sections, but lacks substantive technical content. The description is too generic ('Configure streaming inference setup operations') without explaining what specific streaming inference capabilities are provided. Task knowledge is minimal - no actual implementation details, architecture patterns, streaming frameworks (Kafka, Kinesis, etc.), batch vs. real-time considerations, or concrete code examples are provided. The skill reads as a template rather than a functional resource. Novelty is low because streaming inference setup is a complex domain requiring specific knowledge of message queues, model serving frameworks, latency optimization, and data pipelines - none of which are addressed. A CLI agent would struggle to actually set up streaming inference based solely on this skill's vague guidance.

LLM Signals

Description coverage2
Task knowledge2
Structure6
Novelty3

GitHub Signals

1,046
135
8
0
Last commit 0 days ago

Publisher

jeremylongshore

jeremylongshore

Skill Author

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Publisher

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jeremylongshore

Skill Author

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