Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub Β· AI
Local Llama TTS
Local text-to-speech using llama-tts (llama.cpp) and OuteTTS-1.0-0.6B model.
skill openclawclawhub Free
Local text-to-speech using llama-tts (llama.cpp) and OuteTTS-1.0-0.6B model.
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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, scripts/tts-local.sh
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
- 1.0.0
Provenance
- Publisher
- wuxxin
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
Local Llama TTS
Synthesize speech locally using llama-tts and the OuteTTS-1.0-0.6B model.
Usage
You can use the wrapper script: scripts/tts-local.sh [options] "<text>"
Options
-o, --output <file>: Output WAV file (default: output.wav) -s, --speaker <file>: Speaker reference file (optional) -t, --temp <value>: Temperature (default: 0.4)
Scripts
Location: scripts/tts-local.sh (inside skill folder) Model: /data/public/machine-learning/models/text-to-speach/OuteTTS-1.0-0.6B-Q4_K_M.gguf Vocoder: /data/public/machine-learning/models/text-to-speach/WavTokenizer-Large-75-Q4_0.gguf GPU: Enabled via llama-tts.
Setup
Model: Download from OuteAI/OuteTTS-1.0-0.6B-GGUF Vocoder: Download from ggml-org/WavTokenizer (Note: Felix uses a Q4_0 version, Q5_1 is linked here as a high-quality alternative). Place files in /data/public/machine-learning/models/text-to-speach/ or update scripts/tts-local.sh.
Sampling Configuration
The model card recommends the following settings (hardcoded in the script): Temperature: 0.4 Repetition Penalty: 1.1 Repetition Range: 64 Top-k: 40 Top-p: 0.9 Min-p: 0.05
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
1 Docs1 Scripts
- SKILL.md
- scripts/tts-local.sh