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deepgram-performance-tuning

7.0

by jeremylongshore

195Favorites
196Upvotes
0Downvotes

Optimize Deepgram API performance for faster transcription and lower latency. Use when improving transcription speed, reducing latency, or optimizing audio processing pipelines. Trigger with phrases like "deepgram performance", "speed up deepgram", "optimize transcription", "deepgram latency", "deepgram faster".

api-optimization

7.0

Rating

0

Installs

Backend Development

Category

Quick Review

High-quality skill providing comprehensive Deepgram API performance optimization. The description clearly covers capabilities including transcription speed improvements, latency reduction, and audio pipeline optimization with appropriate trigger phrases. Task knowledge is excellent with detailed, production-ready TypeScript code covering audio preprocessing (ffmpeg), connection pooling, streaming, parallel processing, caching, and performance metrics. Structure is clear with logical sections, though all content is in one file (acceptable given moderate complexity). Novelty is solid - while a CLI agent could research Deepgram optimization, this skill provides immediate, battle-tested implementations (connection pooling, streaming, caching) that would require significant tokens and expertise to develop. The code examples are practical and well-architected, showing deep domain knowledge. Minor improvement areas: could benefit from more explicit troubleshooting guidance and the performance factors table could be more actionable.

LLM Signals

Description coverage8
Task knowledge9
Structure8
Novelty7

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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