Implement speech-to-text transcription workflow with Deepgram. Use when building pre-recorded audio transcription, batch processing, or implementing core transcription features. Trigger with phrases like "deepgram transcription", "speech to text", "transcribe audio", "audio transcription workflow", "batch transcription".
7.0
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0
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AI & LLM
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Well-structured skill for implementing Deepgram speech-to-text transcription. The description clearly explains when to use the skill with appropriate trigger phrases. Provides comprehensive task knowledge including TypeScript and Python implementations for both file and URL transcription, batch processing, speaker diarization, and error handling. The code examples are production-ready with proper interfaces, error handling, and configuration options. Structure is clean with logical progression from setup to advanced features. Novelty is moderate-to-good: while basic API calls are straightforward, the skill adds value through batch processing patterns, multi-language support, comprehensive feature configuration, and diarization formatting that would require significant token usage for a CLI agent to derive independently. Minor improvement areas: could benefit from explicit streaming differentiation and more complex error recovery patterns.
jeremylongshore
Skill Author
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