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deepgram-reference-architecture

7.0

by jeremylongshore

111Favorites
167Upvotes
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".

transcription

7.0

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0

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Backend Development

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Quick Review

Excellent skill providing comprehensive Deepgram reference architectures with clear pattern descriptions, practical TypeScript implementations, and enterprise-grade examples. The skill covers four distinct architectural patterns (synchronous, asynchronous queue, streaming, hybrid) with ASCII diagrams, complete code samples, and monitoring setup. Description is clear and trigger phrases are well-defined for CLI agent invocation. Task knowledge is strong with production-ready code for queue management, WebSocket handling, load balancing, and metrics collection. Structure is logical with pattern progression from simple to complex. High novelty as designing scalable transcription architectures requires significant domain expertise that would be expensive for a CLI agent to reconstruct. Minor improvement possible: could separate lengthy code examples into referenced files for better modularity at enterprise scale, though current single-file approach works well for reference architecture documentation.

LLM Signals

Description coverage9
Task knowledge9
Structure8
Novelty8

GitHub Signals

1,046
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Last commit 0 days ago

Publisher

jeremylongshore

jeremylongshore

Skill Author

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jeremylongshore

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