Implement real-time streaming transcription with Deepgram. Use when building live transcription, voice interfaces, or real-time audio processing applications. Trigger with phrases like "deepgram streaming", "real-time transcription", "live transcription", "websocket transcription", "voice streaming".
7.0
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AI & LLM
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Excellent skill for implementing Deepgram real-time streaming transcription. The description clearly defines the use case and trigger phrases. Task knowledge is comprehensive with production-ready code examples in TypeScript and Python covering WebSocket connection, microphone integration, file streaming, and resilient auto-reconnect patterns. Structure is well-organized with clear steps, error handling table, and multiple practical examples. Novelty is moderate-to-good: while WebSocket transcription is a common pattern, the complete integration examples (browser microphone, audio processing, reconnection logic) would require significant token usage for a CLI agent to produce correctly. Minor improvement areas: could be more modular by splitting extensive code examples into referenced files, and the novelty could be higher with more advanced features like multi-speaker diarization or custom vocabulary integration.
jeremylongshore
Skill Author
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