How do I install the Transcribe skill?

Run npx skillmds@latest add phuaky/transcribe in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Transcribe safe to use?

This skill has not completed SkillMD's automated safety review yet. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Transcribe?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Transcribe free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Transcribe?

phuaky (@phuaky) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Transcribe by phuaky — Agent Skill

Name: Transcribe
Author: phuaky

File contents

Transcribe - Audio to Markdown

Convert audio files to clean Markdown transcripts. Auto-selects best backend.

Usage

/transcribe <audio-file>
/transcribe <audio-file> --azure   # Force Azure gpt-4o-mini-transcribe (best quality)
/transcribe <audio-file> --groq    # Force Groq whisper-large-v3-turbo (fastest)
/transcribe <audio-file> --local   # Force local whisper.cpp (free)

Auto-Selection Priority

Azure — if AZURE_OPENAI_KEY + AZURE_OPENAI_ENDPOINT set (gpt-4o-mini-transcribe, lowest WER)
Groq — if GROQ_API_KEY set (216x realtime, cheapest API)
Local — whisper.cpp fallback (free, ~1x realtime)

Supported Formats

M4A, WAV, MP3, FLAC, OGG, WEBM

Workflow

When invoked, run:

~/.claude/skills/Transcribe/Tools/Transcribe.sh "<audio-file>" [--groq|--azure|--local]

Output saved to same directory as source: {name}-transcript.md

Infrastructure

Component	Path / Config
Transcribe.sh	`~/.claude/skills/Transcribe/Tools/Transcribe.sh`
Azure API	`AZURE_OPENAI_KEY`, `AZURE_OPENAI_ENDPOINT`, deployment: `gpt-4o-mini-transcribe` (default) with `whisper` fallback
Groq API	`GROQ_API_KEY` env var, model: whisper-large-v3-turbo
whisper-cli	`~/tools/whisper.cpp/build/bin/whisper-cli`
large-v3 model	`~/tools/whisper.cpp/models/ggml-large-v3.bin`

Cost Comparison

Method	Cost	Speed	Quality	Best For
Azure (gpt-4o-mini-transcribe)	~$0.30/hr	Fast	Best (lowest WER)	Default — best quality
Groq (turbo)	$0.04/hr	216x realtime	Good	Bulk/fast transcription
Azure (whisper)	~$0.36/hr	Fast	Good	Fallback
Local (large-v3)	FREE	~1x realtime	Good	Offline, full privacy
Local (small.en)	FREE	~3x faster	OK	Quick English drafts

Override Deployment

Set AZURE_TRANSCRIBE_DEPLOYMENT env var to use a different Azure deployment (e.g., whisper for old behavior).

---name: transcribedescription: Convert audio files (M4A, WAV, MP3) to Markdown transcripts. USE WHEN transcribe, audio to text, meeting recording, voice memo.---# Transcribe - Audio to MarkdownConvert audio files to clean Markdown transcripts. Auto-selects best backend.## Usage```/transcribe <audio-file>/transcribe <audio-file> --azure # Force Azure gpt-4o-mini-transcribe (best quality)/transcribe <audio-file> --groq # Force Groq whisper-large-v3-turbo (fastest)/transcribe <audio-file> --local # Force local whisper.cpp (free)```## Auto-Selection Priority1. **Azure** — if `AZURE_OPENAI_KEY` + `AZURE_OPENAI_ENDPOINT` set (gpt-4o-mini-transcribe, lowest WER)2. **Groq** — if `GROQ_API_KEY` set (216x realtime, cheapest API)3. **Local** — whisper.cpp fallback (free, ~1x realtime)## Supported Formats- M4A, WAV, MP3, FLAC, OGG, WEBM## WorkflowWhen invoked, run:```bash~/.claude/skills/Transcribe/Tools/Transcribe.sh "<audio-file>" [--groq|--azure|--local]```Output saved to same directory as source: `{name}-transcript.md`## Infrastructure| Component | Path / Config ||-----------|---------------|| Transcribe.sh | `~/.claude/skills/Transcribe/Tools/Transcribe.sh` || Azure API | `AZURE_OPENAI_KEY`, `AZURE_OPENAI_ENDPOINT`, deployment: `gpt-4o-mini-transcribe` (default) with `whisper` fallback || Groq API | `GROQ_API_KEY` env var, model: whisper-large-v3-turbo || whisper-cli | `~/tools/whisper.cpp/build/bin/whisper-cli` || large-v3 model | `~/tools/whisper.cpp/models/ggml-large-v3.bin` |## Cost Comparison| Method | Cost | Speed | Quality | Best For ||--------|------|-------|---------|----------|| Azure (gpt-4o-mini-transcribe) | ~$0.30/hr | Fast | **Best** (lowest WER) | Default — best quality || Groq (turbo) | $0.04/hr | 216x realtime | Good | Bulk/fast transcription || Azure (whisper) | ~$0.36/hr | Fast | Good | Fallback || Local (large-v3) | FREE | ~1x realtime | Good | Offline, full privacy || Local (small.en) | FREE | ~3x faster | OK | Quick English drafts |## Override DeploymentSet `AZURE_TRANSCRIBE_DEPLOYMENT` env var to use a different Azure deployment (e.g., `whisper` for old behavior).

Frequently asked questions

Transcribe