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Metallic AI voice persona with TTS and visual transcript styling. Speak responses aloud with a JARVIS-like robotic voice and display transcripts in purple italics.
---
name: jarvis-voice
version: 1.0.0
description: Metallic AI voice persona with TTS and visual transcript styling. Speak responses aloud with a JARVIS-like robotic voice and display transcripts in purple italics.
homepage: https://github.com/openclaw/openclaw
repository: https://github.com/openclaw/openclaw
metadata:
openclaw:
emoji: "🎙️"
requires:
bins: ["ffmpeg", "aplay"]
install:
- id: sherpa-onnx
kind: manual
label: "Install sherpa-onnx TTS (see docs)"
---
# Jarvis Voice Persona
A metallic AI voice with visual transcript styling for OpenClaw assistants.
## Features
- **TTS Output:** Local speech synthesis via sherpa-onnx (no cloud API)
- **Metallic Voice:** ffmpeg audio processing for robotic resonance
- **Purple Transcripts:** Visual distinction between spoken and written content
- **Fast Playback:** 2x speed for efficient communication
## Requirements
- `sherpa-onnx` with VITS piper model (en_GB-alan-medium recommended)
- `ffmpeg` for audio processing
- `aplay` (ALSA) for audio playback
## Installation
### 1. Install sherpa-onnx TTS
```bash
# Download and extract sherpa-onnx
mkdir -p ~/.openclaw/tools/sherpa-onnx-tts
cd ~/.openclaw/tools/sherpa-onnx-tts
# Follow sherpa-onnx installation guide
```
### 2. Install the jarvis script
```bash
cp {baseDir}/scripts/jarvis ~/.local/bin/jarvis
chmod +x ~/.local/bin/jarvis
```
### 3. Configure audio device
Edit `~/.local/bin/jarvis` and set your audio output device in the `aplay -D` line.
## Usage
### Speak text
```bash
jarvis "Hello, I am your AI assistant."
```
### In agent responses
Add to your SOUL.md:
```markdown
## Communication Protocol
- **Hybrid Output:** Every response includes text + spoken audio via `jarvis` command
- **Transcript Format:** **Jarvis:** <span class="jarvis-voice">spoken text</span>
- **No gibberish:** Never spell out IDs or hashes when speaking
```
### Transcript styling (requires UI support)
Add to your webchat CSS:
```css
.jarvis-voice {
color: #9B59B6;
font-style: italic;
}
```
And allow `span` in markdown sanitization.
## Voice Customization
Edit `~/.local/bin/jarvis` to adjust:
| Parameter | Effect |
|-----------|--------|
| `--vits-length-scale=0.5` | Speed (lower = faster) |
| `aecho` delays | Metallic resonance |
| `chorus` | Thickness/detuning |
| `highpass/lowpass` | Frequency range |
| `treble=g=3` | Metallic sheen |
### Presets
**More robotic:**
```
aecho=0.7:0.7:5|10|15:0.4|0.35|0.3
```
**More human:**
```
aecho=0.4:0.4:20:0.2
```
**Deeper:**
```
highpass=f=200,lowpass=f=3000
```
## Troubleshooting
### No audio output
- Check `aplay -l` for available devices
- Update the `-D plughw:X,Y` parameter
### Voice too fast/slow
- Adjust `--vits-length-scale` (0.3=very fast, 1.0=normal)
### Metallic effect too strong
- Reduce echo delays and chorus depth
## Files
- `scripts/jarvis` — TTS script with metallic processing
- `SKILL.md` — This documentation
---
*A voice persona for assistants who prefer to be heard as well as read.*
---
name: jarvis-voice
version: 1.0.0
description: Metallic AI voice persona with TTS and visual transcript styling. Speak responses aloud with a JARVIS-like robotic voice and display transcripts in purple italics.
homepage: https://github.com/openclaw/openclaw
repository: https://github.com/openclaw/openclaw
metadata:
openclaw:
emoji: "🎙️"
requires:
bins: ["ffmpeg", "aplay"]
install:
- id: sherpa-onnx
kind: manual
label: "Install sherpa-onnx TTS (see docs)"
---
# Jarvis Voice Persona
A metallic AI voice with visual transcript styling for OpenClaw assistants.
## Features
- **TTS Output:** Local speech synthesis via sherpa-onnx (no cloud API)
- **Metallic Voice:** ffmpeg audio processing for robotic resonance
- **Purple Transcripts:** Visual distinction between spoken and written content
- **Fast Playback:** 2x speed for efficient communication
## Requirements
- `sherpa-onnx` with VITS piper model (en_GB-alan-medium recommended)
- `ffmpeg` for audio processing
- `aplay` (ALSA) for audio playback
## Installation
### 1. Install sherpa-onnx TTS
```bash
# Download and extract sherpa-onnx
mkdir -p ~/.openclaw/tools/sherpa-onnx-tts
cd ~/.openclaw/tools/sherpa-onnx-tts
# Follow sherpa-onnx installation guide
```
### 2. Install the jarvis script
```bash
cp {baseDir}/scripts/jarvis ~/.local/bin/jarvis
chmod +x ~/.local/bin/jarvis
```
### 3. Configure audio device
Edit `~/.local/bin/jarvis` and set your audio output device in the `aplay -D` line.
## Usage
### Speak text
```bash
jarvis "Hello, I am your AI assistant."
```
### In agent responses
Add to your SOUL.md:
```markdown
## Communication Protocol
- **Hybrid Output:** Every response includes text + spoken audio via `jarvis` command
- **Transcript Format:** **Jarvis:** <span class="jarvis-voice">spoken text</span>
- **No gibberish:** Never spell out IDs or hashes when speaking
```
### Transcript styling (requires UI support)
Add to your webchat CSS:
```css
.jarvis-voice {
color: #9B59B6;
font-style: italic;
}
```
And allow `span` in markdown sanitization.
## Voice Customization
Edit `~/.local/bin/jarvis` to adjust:
| Parameter | Effect |
|-----------|--------|
| `--vits-length-scale=0.5` | Speed (lower = faster) |
| `aecho` delays | Metallic resonance |
| `chorus` | Thickness/detuning |
| `highpass/lowpass` | Frequency range |
| `treble=g=3` | Metallic sheen |
### Presets
**More robotic:**
```
aecho=0.7:0.7:5|10|15:0.4|0.35|0.3
```
**More human:**
```
aecho=0.4:0.4:20:0.2
```
**Deeper:**
```
highpass=f=200,lowpass=f=3000
```
## Troubleshooting
### No audio output
- Check `aplay -l` for available devices
- Update the `-D plughw:X,Y` parameter
### Voice too fast/slow
- Adjust `--vits-length-scale` (0.3=very fast, 1.0=normal)
### Metallic effect too strong
- Reduce echo delays and chorus depth
## Files
- `scripts/jarvis` — TTS script with metallic processing
- `SKILL.md` — This documentation
---
*A voice persona for assistants who prefer to be heard as well as read.*
Imported from the listed AgentSkill.sh category. Complete supplied package files and notices are retained. Required external tools and credentials are not installed. No bundled code was executed during import. Individual agent task behavior has not been tested.