---
name: voiceclaw
description: "Local voice I/O for OpenClaw agents. Transcribe inbound audio/voice messages using local Whisper (whisper.cpp) and generate voice replies using local Piper TTS. Requires whisper, piper, and ffmpeg pre-installed on the system. All inference runs on-device — no network calls, no cloud APIs, no API keys. Use when an agent receives a voice/audio message and should respond in both voice and text, or when any text response should be synthesized and sent as audio. Triggers on: voice messages, audio attachments, respond in voice, send as audio, speak this, voiceclaw."
---

# VoiceClaw

Local-only voice I/O for OpenClaw agents.

- **STT:** `transcribe.sh` — converts audio to text via local Whisper binary
- **TTS:** `speak.sh` — converts text to speech via local Piper binary
- **Network calls: none** — both scripts run fully offline
- **No cloud APIs, no API keys required**

---

## Prerequisites

The following must be installed on the system before using this skill:

| Requirement | Purpose |
|---|---|
| `whisper` binary | Speech-to-text inference |
| `ggml-base.en.bin` model file | Whisper STT model |
| `piper` binary | Text-to-speech synthesis |
| `*.onnx` voice model files | Piper TTS voices |
| `ffmpeg` | Audio format conversion |

See **README.md** for installation and setup instructions.

---

## Environment Variables

| Variable | Default | Purpose |
|---|---|---|
| `WHISPER_BIN` | auto-detected via `which` | Path to whisper binary |
| `WHISPER_MODEL` | `~/.cache/whisper/ggml-base.en.bin` | Path to Whisper model file |
| `PIPER_BIN` | auto-detected via `which` | Path to piper binary |
| `VOICECLAW_VOICES_DIR` | `~/.local/share/piper/voices` | Directory containing `.onnx` voice model files |

---

## Verify Setup

```bash
which whisper && echo "STT binary: OK"
which piper   && echo "TTS binary: OK"
which ffmpeg  && echo "ffmpeg: OK"
ls "${WHISPER_MODEL:-$HOME/.cache/whisper/ggml-base.en.bin}" && echo "STT model: OK"
ls "${VOICECLAW_VOICES_DIR:-$HOME/.local/share/piper/voices}"/*.onnx 2>/dev/null | head -1 && echo "TTS voices: OK"
```

---

## Inbound Voice: Transcribe

```bash
# Transcribe audio → text (supports ogg, mp3, m4a, wav, flac)
TRANSCRIPT=$(bash scripts/transcribe.sh /path/to/audio.ogg)
```

Override model path:
```bash
WHISPER_MODEL=/path/to/ggml-base.en.bin bash scripts/transcribe.sh audio.ogg
```

---

## Outbound Voice: Speak

```bash
# Step 1: Generate WAV (local Piper — no network)
WAV=$(bash scripts/speak.sh "Your response here." /tmp/reply.wav en_US-lessac-medium)

# Step 2: Convert to OGG Opus (Telegram voice requirement)
ffmpeg -i "$WAV" -c:a libopus -b:a 32k /tmp/reply.ogg -y -loglevel error

# Step 3: Send via message tool (filePath=/tmp/reply.ogg)
```

Override voice directory:
```bash
VOICECLAW_VOICES_DIR=/path/to/voices bash scripts/speak.sh "Hello." /tmp/reply.wav
```

---

## Available Voices

| Voice | Style |
|---|---|
| `en_US-lessac-medium` | Neutral American (default) |
| `en_US-amy-medium` | Warm American female |
| `en_US-joe-medium` | American male |
| `en_US-kusal-medium` | Expressive American male |
| `en_US-danny-low` | Deep American male (fast) |
| `en_GB-alba-medium` | British female |
| `en_GB-northern_english_male-medium` | Northern British male |

---

## Agent Behavior Rules

1. **Voice in → Voice + Text out.** Always respond with both a voice reply and a text reply when a voice message is received.
2. **Include the transcript.** Show *"🎙️ I heard: [transcript]"* at the top of every text reply to a voice message.
3. **Keep voice responses concise.** Piper TTS works best under ~200 words — summarize for audio, include full detail in text.
4. **Local only.** Never use a cloud TTS/STT API. Only the local `whisper` and `piper` binaries.
5. **Send voice before text.** Send the audio file first, then follow with the text reply.

---

## Full Example

```bash
# 1. Transcribe inbound voice message
TRANSCRIPT=$(bash path/to/voiceclaw/scripts/transcribe.sh /path/to/voice.ogg)

# 2. Compose reply and generate audio
RESPONSE="Deployment complete. All checks passed."
WAV=$(bash path/to/voiceclaw/scripts/speak.sh "$RESPONSE" /tmp/reply_$$.wav)
ffmpeg -i "$WAV" -c:a libopus -b:a 32k /tmp/reply_$$.ogg -y -loglevel error

# 3. Send voice + text
# message(action=send, filePath=/tmp/reply_$$.ogg, ...)
# reply: "🎙️ I heard: $TRANSCRIPT\n\n$RESPONSE"
```

---

## Troubleshooting

| Issue | Fix |
|---|---|
| `whisper: command not found` | Ensure whisper binary is installed and in PATH |
| Whisper model not found | Set `WHISPER_MODEL=/path/to/ggml-base.en.bin` |
| `piper: command not found` | Ensure piper binary is installed and in PATH |
| Voice model missing | Set `VOICECLAW_VOICES_DIR=/path/to/voices/` |
| OGG won't play on Telegram | Ensure `-c:a libopus` flag in ffmpeg command |


---
Source attribution: dvcrn
Original project: https://github.com/dvcrn/openclaw-skills-marketplace/blob/931184f93d78d90841bc66971fde8cc00539e027/plugins/asif2bd--voiceclaw/skills/voiceclaw/SKILL.md
License: MIT
License information: https://opensource.org/license/mit
Original upstream instructions; downloaded from Mega AI Hub.

## Upstream license notice

MIT License

Copyright (c) 2026 M Asif Rahman (https://github.com/Asif2BD)

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.



# Mega AI Hub resource metadata

Creator / publisher: dvcrn
Original project: https://github.com/dvcrn/openclaw-skills-marketplace/blob/931184f93d78d90841bc66971fde8cc00539e027/plugins/asif2bd--voiceclaw/skills/voiceclaw/SKILL.md
Attribution basis: Source repository record

Fields of work: Customer Support
Roles: Customer Experience, Support Agent, Technical Support
Specialties: Specialty not specified
Tools: FFmpeg, Piper, Whisper
Country applicability: Country not specified
Classification basis: Source catalog labels
Instruction SHA-256: 4241c5e0680cfca382aa1394faa604f27fb4ed5809456942795d6d7f6dbb86bd