From deepgram-pack
Creates minimal Deepgram speech-to-text examples in TypeScript/Node.js and Python for transcribing audio URLs or local files. Use for quick starts, API testing, or setup validation.
How this skill is triggered — by the user, by Claude, or both
Slash command
/deepgram-pack:deepgram-hello-worldThis skill is limited to the following tools:
The summary Claude sees in its skill listing — used to decide when to auto-load this skill
Minimal working examples for Deepgram speech-to-text. Transcribe an audio URL in 5 lines with `createClient` + `listen.prerecorded.transcribeUrl`. Includes local file transcription, Python equivalent, and Nova-3 model selection.
Minimal working examples for Deepgram speech-to-text. Transcribe an audio URL in 5 lines with createClient + listen.prerecorded.transcribeUrl. Includes local file transcription, Python equivalent, and Nova-3 model selection.
npm install @deepgram/sdk completedDEEPGRAM_API_KEY environment variable setimport { createClient } from '@deepgram/sdk';
const deepgram = createClient(process.env.DEEPGRAM_API_KEY!);
async function main() {
const { result, error } = await deepgram.listen.prerecorded.transcribeUrl(
{ url: 'https://static.deepgram.com/examples/Bueller-Life-moves-702702706.wav' },
{
model: 'nova-3', // Latest model — best accuracy
smart_format: true, // Auto-punctuation, paragraphs, numerals
language: 'en',
}
);
if (error) throw error;
const transcript = result.results.channels[0].alternatives[0].transcript;
console.log('Transcript:', transcript);
console.log('Confidence:', result.results.channels[0].alternatives[0].confidence);
}
main();
import { createClient } from '@deepgram/sdk';
import { readFileSync } from 'fs';
const deepgram = createClient(process.env.DEEPGRAM_API_KEY!);
async function transcribeFile(filePath: string) {
const audio = readFileSync(filePath);
const { result, error } = await deepgram.listen.prerecorded.transcribeFile(
audio,
{
model: 'nova-3',
smart_format: true,
// Deepgram auto-detects format, but you can specify:
mimetype: 'audio/wav',
}
);
if (error) throw error;
console.log(result.results.channels[0].alternatives[0].transcript);
}
transcribeFile('./meeting-recording.wav');
import os
from deepgram import DeepgramClient, PrerecordedOptions
client = DeepgramClient(os.environ["DEEPGRAM_API_KEY"])
# URL transcription
url = {"url": "https://static.deepgram.com/examples/Bueller-Life-moves-702702706.wav"}
options = PrerecordedOptions(model="nova-3", smart_format=True, language="en")
response = client.listen.rest.v("1").transcribe_url(url, options)
transcript = response.results.channels[0].alternatives[0].transcript
print(f"Transcript: {transcript}")
print(f"Confidence: {response.results.channels[0].alternatives[0].confidence}")
# Local file transcription
with open("meeting.wav", "rb") as audio:
source = {"buffer": audio.read(), "mimetype": "audio/wav"}
response = client.listen.rest.v("1").transcribe_file(source, options)
print(response.results.channels[0].alternatives[0].transcript)
// Enable diarization (speaker identification)
const { result } = await deepgram.listen.prerecorded.transcribeUrl(
{ url: audioUrl },
{
model: 'nova-3',
smart_format: true,
diarize: true, // Speaker labels
utterances: true, // Turn-by-turn segments
paragraphs: true, // Paragraph formatting
}
);
// Print speaker-labeled output
if (result.results.utterances) {
for (const utterance of result.results.utterances) {
console.log(`Speaker ${utterance.speaker}: ${utterance.transcript}`);
}
}
| Model | Use Case | Speed | Accuracy |
|---|---|---|---|
nova-3 | General — best accuracy | Fast | Highest |
nova-2 | General — proven stable | Fast | Very High |
nova-2-meeting | Conference rooms, multiple speakers | Fast | High |
nova-2-phonecall | Low-bandwidth phone audio | Fast | High |
base | Cost-sensitive, high-volume | Fastest | Good |
whisper-large | Multilingual (100+ languages) | Slow | High |
# TypeScript
npx tsx hello-deepgram.ts
# Python
python hello_deepgram.py
| Error | Cause | Solution |
|---|---|---|
401 Unauthorized | Invalid API key | Check DEEPGRAM_API_KEY |
400 Bad Request | Unsupported audio format | Use WAV, MP3, FLAC, OGG, or M4A |
| Empty transcript | No speech in audio | Verify audio has audible speech |
ENOTFOUND | URL not reachable | Check audio URL is publicly accessible |
Cannot find module '@deepgram/sdk' | SDK not installed | Run npm install @deepgram/sdk |
Proceed to deepgram-core-workflow-a for production transcription patterns or deepgram-core-workflow-b for live streaming.
npx claudepluginhub jeremylongshore/claude-code-plugins-plus-skills --plugin deepgram-packApplies production Deepgram SDK patterns for TypeScript and Python: singleton clients, Aura TTS, audio pipelines, error handling, v5 migration.
Generates minimal TypeScript examples for AssemblyAI transcription from URLs/local files, plus audio intelligence like speaker diarization, sentiment, and summarization.
Creates, edits, and optimizes skills for Claude Code, including drafting, evaluating with test prompts, iterating on performance, and improving skill descriptions for better triggering accuracy.