Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub Β· AI
Local Voice (FluidAudio TTS/STT)
Local text-to-speech (TTS) and speech-to-text (STT) using FluidAudio on Apple Silicon. Sub-second voice synthesis and transcription running entirely on-device via the Apple Neural Engine. Use when setting up local voice capabilities, voice assistant integration, or replacing cloud TTS/STT services.
skill openclawclawhub Free
Local text-to-speech (TTS) and speech-to-text (STT) using FluidAudio on Apple Silicon. Sub-second voice synthesis and transcription running entirely on-device via the Apple Neural Engine. Use when setting up local voice capabilities, voice assistant integration, or replacing cloud TTS/STT services.
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Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- SKILL.md, references/VOICES.md, scripts/setup.sh, scripts/stella-tts.sh, sources/Package.swift, sources/Sources/StellaVoice/main.swift
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.0.1
Provenance
- Publisher
- TrondW
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
Local Voice (FluidAudio TTS/STT)
Sub-second local voice AI for Apple Silicon Macs using FluidAudio's CoreML models.
Features
TTS: Kokoro model with 54 voices, ~0.6-0.8s latency STT: Parakeet TDT v3, ~0.2-0.3s latency, 25 languages 100% local: No cloud, no cost, works offline Neural Engine: Runs on Apple's ANE for efficiency
Requirements
macOS 14+ on Apple Silicon (M1/M2/M3/M4) Swift 5.9+ espeak-ng (for TTS phoneme fallback)
1. Install Dependencies
brew install espeak-ng
2. Build the Daemon
cd /path/to/skill/sources swift build -c release
3. Install Binary and Framework
mkdir -p ~/clawd/bin cp .build/release/StellaVoice ~/clawd/bin/ cp -R .build/arm64-apple-macosx/release/ESpeakNG.framework ~/clawd/bin/ install_name_tool -add_rpath @executable_path ~/clawd/bin/StellaVoice
4. Create LaunchAgent
cat > ~/Library/LaunchAgents/com.stella.tts.plist << 'EOF' <?xml version="1.0" encoding="UTF-8"?> <!DOCTYPE plist PUBLIC "-//Apple//DTD PLIST 1.0//EN" "http://www.apple.com/DTDs/PropertyList-1.0.dtd"> <plist version="1.0"> <dict> <key>Label</key> <string>com.stella.tts</string> <key>ProgramArguments</key> <array> <string>$HOME/clawd/bin/StellaVoice</string> </array> <key>RunAtLoad</key> <true/> <key>KeepAlive</key> <true/> <key>StandardOutPath</key> <string>$HOME/.clawdbot/logs/stella-tts.log</string> <key>StandardErrorPath</key> <string>$HOME/.clawdbot/logs/stella-tts.err.log</string> </dict> </plist> EOF launchctl load ~/Library/LaunchAgents/com.stella.tts.plist
API Endpoints
The daemon listens on http://127.0.0.1:18790:
TTS - Text to Speech
# Simple text to WAV curl -X POST http://127.0.0.1:18790/synthesize -d "Hello world" -o output.wav # With speed control (0.5-2.0) curl -X POST "http://127.0.0.1:18790/synthesize?speed=1.2" -d "Fast!" -o output.wav # JSON endpoint curl -X POST http://127.0.0.1:18790/synthesize/json \ -H "Content-Type: application/json" \ -d '{"text": "Hello", "speed": 1.0, "deEss": true}'
STT - Speech to Text
curl -X POST http://127.0.0.1:18790/transcribe \ --data-binary @audio.wav \ -H "Content-Type: audio/wav" # Returns: {"text": "transcribed text"}
Health Check
curl http://127.0.0.1:18790/health # Returns: ok
Voice Options
Default voice is af_sky. Change by modifying the source code. Top Kokoro voices (American female): af_heart (A grade) - warm, natural af_bella (A-) - expressive af_sky (C-) - clear, light All 54 voices: See references/VOICES.md
Speed Control
speed=0.8 β Calm, relaxed speed=1.0 β Natural pace speed=1.2 β Energetic, upbeat
Punctuation (automatic)
! β Excited tone ? β Rising intonation . β Neutral, falling ... β Pauses
SSML Tags
<phoneme ph="kΙkΛΙΙΉO">Kokoro</phoneme> <sub alias="Doctor">Dr.</sub> <say-as interpret-as="date">2024-01-15</say-as>
Helper Script
See scripts/stella-tts.sh for a convenient wrapper: scripts/stella-tts.sh "Hello world" output.wav scripts/stella-tts.sh "Hello world" output.mp3 # Auto-converts
Integration Example
For voice assistants, update your voice proxy to use local endpoints: // STT const response = await fetch('http://127.0.0.1:18790/transcribe', { method: 'POST', headers: { 'Content-Type': 'audio/wav' }, body: audioData }); const { text } = await response.json(); // TTS const audio = await fetch('http://127.0.0.1:18790/synthesize', { method: 'POST', body: textToSpeak });
Troubleshooting
Library not loaded (ESpeakNG) Ensure ESpeakNG.framework is in the same directory as the binary Run install_name_tool -add_rpath @executable_path /path/to/binary Slow first request First request loads models (~8-10s) Subsequent requests are sub-second x86 vs ARM Must build and run on ARM64 native (not Rosetta) Check with uname -m (should show arm64)
Source Code
The daemon source is in sources/ directory. It's a Swift package using: FluidAudio (TTS + STT models) Hummingbird (HTTP server) Rebuild after modifying: cd sources && swift build -c release
Category context
Agent frameworks, memory systems, reasoning layers, and model-native orchestration.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
2 Docs2 Scripts2 Files
- SKILL.md
- references/VOICES.md
- scripts/setup.sh
- scripts/stella-tts.sh
- sources/Package.swift
- sources/Sources/StellaVoice/main.swift