Individual skill
deepgram-core-workflow-a
Implement production pre-recorded speech-to-text with Deepgram. Use when building audio transcription, batch processing, or implementing diarization and intelligence features. Trigger: "deepgram transcription", "speech to text", "transcribe audio", "batch transcription", "deepgram nova", "diarize audio".
skills/.curated/deepgram-core-workflow-a/SKILL.md
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# Deepgram Core Workflow A: Pre-recorded Transcription
## Examples
Upload a short synthetic or licensed audio fixture to the development workflow, validate transcript format, timestamps, language/model choice, and error handling, then remove the artifact according to retention policy. Do not use customer recordings for a tutorial or log raw transcript text when a correlation ID and aggregate result suffice.
## Overview
Production pre-recorded transcription service using Deepgram's REST API. Covers `transcribeUrl` and `transcribeFile`, speaker diarization, audio intelligence (summarization, topic detection, sentiment, intent), batch processing with concurrency control, and callback-based async transcription for large files.
## Prerequisites
- `@deepgram/sdk` installed, `DEEPGRAM_API_KEY` configured
- Audio files: WAV, MP3, FLAC, OGG, M4A, or WebM
- For batch: `p-limit` package (`npm install p-limit`)