vocal

name	vocal
description	Speak text aloud (TTS) and transcribe speech (STT). Supports local (macOS say, mlx-whisper) and cloud (ElevenLabs) providers. Use when user asks to speak, read aloud, listen, transcribe, or use vocal.
license	Apache-2.0
disable-model-invocation	true
metadata	{"status":"experimental","experimental_reason":"Voice workflows depend on local audio devices and optional ElevenLabs credentials, so reliability is environment-sensitive."}

Vocal

Speak text aloud and transcribe speech with local and cloud providers. User-invocable only (/vocal) — audio is a side-effect surface, not something to auto-trigger on.

Usage

/vocal — turn-based vocal loop

Runs an ask-aloud / listen / respond / keep-listening cycle using the vocal-listener background agent.

/vocal What should we work on next?

Optional inline config:

• /vocal stt=local tts=local duration=8 What should we work on next?
• /vocal stt=elevenlabs tts=elevenlabs duration=10 Ready when you are.

Loop behavior

1. Parse inline config from the command text:

   • stt=local|elevenlabs (default: local)
   • tts=local|elevenlabs (default: match stt)
   • duration=<seconds> (default: 8)
   • Remaining text becomes the first spoken prompt.

2. Validate selected providers before starting (run only the checks needed):

   uv run ~/.claude/skills/vocal/scripts/stt_local.py --check
   uv run ~/.claude/skills/vocal/scripts/stt_elevenlabs.py --check
   uv run ~/.claude/skills/vocal/scripts/tts_local.py --check
   uv run ~/.claude/skills/vocal/scripts/tts_elevenlabs.py --check
   

3. Launch the listener. Create or reuse a team named vocal and launch vocal-listener as a background task with config:

   stt_provider=<local|elevenlabs>
   duration_seconds=<duration>
   continue_token=keep-listening
   stop_token=stop-listening
   

4. Speak the first prompt aloud (if provided). If none is provided, speak: Vocal mode active. I'm listening.

5. For every listener message starting with [voice-input]:

   • Treat the transcript as the user turn.
   • Produce a concise assistant response.
   • Speak the response with the selected TTS provider.
   • Send keep-listening to the listener agent.

6. Stop conditions:

   • Transcript asks to stop (e.g. "stop vocal mode", "goodbye", "exit vocal") — speak confirmation and send stop-listening.
   • Listener reports [voice-error] — surface the error and pause vocal mode.

Turn-based, not full-duplex realtime. Each listen cycle is a separate background agent turn. Keep spoken responses short unless the user asks for detail.

Web tuning console

uv run --script ~/.claude/skills/vocal/scripts/web_console.py

Open http://127.0.0.1:8765 to tune the skill from a local browser.

The console supports:

• TTS sample playback for local say and ElevenLabs
• Local and ElevenLabs voice listing
• Browser microphone recording and audio-file transcription
• Provider checks from the same scripts used by the skill
• Saved local defaults in skills/vocal/data/preferences.json

Options:

# Choose a port
uv run --script ~/.claude/skills/vocal/scripts/web_console.py --port 8799

# Use a private preference directory outside the skill checkout
VOCAL_DATA_DIR=~/Library/Application\ Support/vocal-skill \
  uv run --script ~/.claude/skills/vocal/scripts/web_console.py

Local TTS (macOS say)

uv run --script ~/.claude/skills/vocal/scripts/tts_local.py --text "Hello Michael"

Examples:

# Save audio to file
uv run --script ~/.claude/skills/vocal/scripts/tts_local.py \
  --text "Build succeeded" \
  --voice Alex \
  --rate 200 \
  --output /tmp/build.aiff

# List macOS voices
uv run --script ~/.claude/skills/vocal/scripts/tts_local.py --list-voices

Local STT (mlx-whisper, Apple Silicon)

# Record microphone for 5 seconds and transcribe
uv run --script ~/.claude/skills/vocal/scripts/stt_local.py --duration 5

# Transcribe an existing file
uv run --script ~/.claude/skills/vocal/scripts/stt_local.py --file ./meeting.wav

# List input devices
uv run --script ~/.claude/skills/vocal/scripts/stt_local.py --list-devices

# Use a specific device
uv run --script ~/.claude/skills/vocal/scripts/stt_local.py --duration 5 --device 1

ElevenLabs TTS (cloud)

uv run --script ~/.claude/skills/vocal/scripts/tts_elevenlabs.py \
  --text "Hello Michael" \
  --voice George

Examples:

# Save and play the generated mp3
uv run --script ~/.claude/skills/vocal/scripts/tts_elevenlabs.py \
  --text "Deployment complete" \
  --model eleven_turbo_v2_5 \
  --output /tmp/deploy.mp3 \
  --play

ElevenLabs STT (Scribe v2)

# Record microphone for 5 seconds and transcribe
uv run --script ~/.claude/skills/vocal/scripts/stt_elevenlabs.py --duration 5

# Transcribe an existing audio file
uv run --script ~/.claude/skills/vocal/scripts/stt_elevenlabs.py --file ./call.wav

# List input devices
uv run --script ~/.claude/skills/vocal/scripts/stt_elevenlabs.py --list-devices

# Use a specific device
uv run --script ~/.claude/skills/vocal/scripts/stt_elevenlabs.py --duration 5 --device 1

Provider checks

uv run --script ~/.claude/skills/vocal/scripts/tts_local.py --check
uv run --script ~/.claude/skills/vocal/scripts/stt_local.py --check
uv run --script ~/.claude/skills/vocal/scripts/tts_elevenlabs.py --check
uv run --script ~/.claude/skills/vocal/scripts/stt_elevenlabs.py --check

Provider Comparison

Provider	Mode	Latency	Quality	Cost
tts_local.py	Local	Low	Good	Free
stt_local.py	Local	Medium (first run downloads model)	Good	Free
tts_elevenlabs.py	Cloud	Very low with flash model	Very high	Paid API
stt_elevenlabs.py	Cloud	Low	Very high	Paid API

Environment Variables

Variable	Required	Used by
ELEVENLABS_API_KEY	Yes (cloud only)	tts_elevenlabs.py, stt_elevenlabs.py
ELEVEN_LABS_API_KEY	Accepted alias	tts_elevenlabs.py, stt_elevenlabs.py

Set via ~/.env or shell export.

Recommended local setup:

# Preferred name
ELEVENLABS_API_KEY=your-key-here

# Accepted legacy alias
ELEVEN_LABS_API_KEY=your-key-here

Put one of those lines in ~/.env, then restart web_console.py. The vocal scripts load ~/.env automatically before checking the process environment.

Troubleshooting

Getting an ElevenLabs API key

1. Open https://elevenlabs.io/app/settings/api-keys
2. Create a key
3. Export it:

export ELEVENLABS_API_KEY=your-key-here

macOS microphone permissions

If transcription fails with permission errors:

1. Open System Settings -> Privacy & Security -> Microphone
2. Allow Terminal (or your Claude host app)
3. Re-run the command

Common issues

• say: command not found: install or restore macOS command line tools
• mlx-whisper import error: run command via uv run so dependencies install
• API key invalid: regenerate key and ensure no whitespace

Self-Validation

Run fast provider checks:

uv run --script ~/.claude/skills/vocal/tests/test_voice.py

Run file-based ask/listen/respond loop (no microphone required):

uv run --script ~/.claude/skills/vocal/tests/test_voice_loop.py

Include cloud loop validation (requires ElevenLabs key):

uv run --script ~/.claude/skills/vocal/tests/test_voice_loop.py --cloud

Run web console helper tests:

uv run --script ~/.claude/skills/vocal/tests/test_web_console.py

Run browser validation for the web console:

# Starts an isolated console on a free port and validates desktop/mobile flows
uv run --script ~/.claude/skills/vocal/tests/test_web_console_playwright.py

# Validate a console you already have open
uv run --script ~/.claude/skills/vocal/tests/test_web_console_playwright.py \
  --url http://127.0.0.1:8765

# Include the ElevenLabs TTS UI path (uses API credits)
uv run --script ~/.claude/skills/vocal/tests/test_web_console_playwright.py \
  --url http://127.0.0.1:8765 \
  --cloud

# Watch the test in a real browser window
uv run --script ~/.claude/skills/vocal/tests/test_web_console_playwright.py \
  --url http://127.0.0.1:8765 \
  --headed \
  --slow-mo 100

Fixture files for loop validation:

• tests/fixtures/loop_prompt.txt
• tests/fixtures/expected_keyword.txt

References

• Architecture & research: See references/architecture.md — three-tier design, ElevenLabs API details, Claude Code background communication research, CLI programmatic modes
• Voice bridge backlog: See backlog/voice-bridge-plan.md — standalone process for continuous voice conversation with self-eval loop