Uses your Deepgram API key (stored locally).
Scanned 9/7/2026
Install to Claude Code
npx -y skills add modbender/skill-library-mcp --skill deepgram --agent claude-codeInstalls into .claude/skills of the current project.
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---
name: Deepgram CLI Skills Guide
description: Uses your Deepgram API key (stored locally).
---
# Deepgram CLI Skills Guide
## Tool
**@deepgram/cli** — command-line interface for Deepgram speech-to-text.
---
## Install
```bash
npm install -g @deepgram/cli
```
---
## Auth
```bash
deepgram login
```
Uses your Deepgram API key (stored locally).
---
## Core Skill: Speech → Text
### Transcribe a Local Audio File
```bash
deepgram listen prerecorded audio.wav
```
### Transcribe with Options
```bash
deepgram listen prerecorded audio.wav \
--model nova-2 \
--language en \
--punctuate \
--diarize
```
---
## Core Skill: Read / Reach Content
### From URL (remote audio)
```bash
deepgram listen prerecorded https://example.com/audio.mp3
```
### From STDIN (pipes)
```bash
cat audio.wav | deepgram listen prerecorded -
```
### From Microphone (live)
```bash
deepgram listen microphone
```
Stop with `Ctrl+C`. Congrats, you just dictated reality.
---
## Output Handling
### Save Transcript
```bash
deepgram listen prerecorded audio.wav > transcript.json
```
### Plain Text Output
```bash
deepgram listen prerecorded audio.wav --format text
```
---
## Useful Flags (Memorize These)
* `--model` – `nova-2`, `general`, etc.
* `--language` – `en`, `tr`, `de`, …
* `--punctuate` – adds punctuation
* `--diarize` – speaker separation
* `--format` – `json`, `text`, `srt`, `vtt`
---
## Typical Workflow
1. Reach content (file / URL / mic)
2. Run `deepgram listen`
3. Capture output (JSON or text)
4. Post-process (search, summarize, subtitle)
---
## Skill Summary
* CLI-based speech-to-text
* Local, remote, and live audio
* Scriptable, pipe-friendly
* Fast, accurate, no UI nonsense
Deepgram CLI: because keyboards are overrated.
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