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deepgram-reference-architecture

6.4

by jeremylongshore

86Favorites
163Upvotes
0Downvotes

Implement Deepgram reference architecture for scalable transcription systems. Use when designing transcription pipelines, building production architectures, or planning Deepgram integration at scale. Trigger with phrases like "deepgram architecture", "transcription pipeline", "deepgram system design", "deepgram at scale", "enterprise deepgram".

speech-to-text

6.4

Rating

0

Installs

Backend Development

Category

Quick Review

Strong architectural skill with comprehensive patterns and production-ready TypeScript implementations. The description clearly conveys when to use this skill (transcription pipelines, production architectures, enterprise scale). Task knowledge is excellent, providing four distinct architecture patterns (sync, async, streaming, hybrid) with working code examples, queue management, monitoring setup, and enterprise configurations. Structure is good with clear pattern separation and progressive complexity, though the single-file format is dense for such comprehensive content. Novelty is moderate: while architectural guidance is valuable and would save significant design/implementation time, a skilled backend developer could derive these patterns from Deepgram docs and standard distributed systems knowledge. The skill meaningfully reduces token cost for orchestrating complete transcription systems versus piecing together individual API calls.

LLM Signals

Description coverage8
Task knowledge9
Structure7
Novelty6

GitHub Signals

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Last commit 0 days ago

Publisher

jeremylongshore

jeremylongshore

Skill Author

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jeremylongshore

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