Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub Β· AI
chichi-speech (local text-to-speech service with Qwen3-TTS model)
A RESTful service for high-quality text-to-speech using Qwen3 and specialized voice cloning. Optimized for reusing a specific voice prompt to avoid re-computation.
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A RESTful service for high-quality text-to-speech using Qwen3 and specialized voice cloning. Optimized for reusing a specific voice prompt to avoid re-computation.
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0 stars Unverified but indexed
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
- pyproject.toml, SKILL.md, src/chichi_speech/server.py, src/chichi_speech/client.py, src/chichi_speech/__init__.py
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
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Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.0.2
Provenance
- Publisher
- hudeven
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
Chichi Speech Service
This skill provides a FastAPI-based REST service for Qwen3 TTS, specifically configured for reusing a high-quality reference audio prompt for efficient and consistent voice cloning. This service is packaged as an installable CLI.
Installation
Prerequisites: python >= 3.10. pip install -e .
1. Start the Service
The service runs on port 9090 by default. # Start the server (runs in foreground, use & for background or a separate terminal) # Optional: Uudate to your own reference audio and text for voice cloning chichi-speech --port 9090 --host 127.0.0.1 --ref-audio "https://qianwen-res.oss-cn-beijing.aliyuncs.com/Qwen3-TTS-Repo/clone_2.wav" --ref-text "Okay. Yeah. I resent you. I love you. I respect you. But you know what? You blew it! And thanks to you."
2. Verify Service is Running
Check the health/docs: curl http://localhost:9090/docs
3. Generate Speech
Use cURL: curl -X POST "http://localhost:9090/synthesize" \ -H "Content-Type: application/json" \ -d '{ "text": "Nice to meet you", "language": "English" }' \ --output output/nice_to_meet.wav
Functionality
Endpoint: POST /synthesize Default Port: 9090 Voice Cloning: Uses a pre-computed voice prompt from reference files to ensure the cloned voice is consistent and generation is fast.
Requirements
Python 3.10+ qwen-tts (Qwen3 model library) Access to a reference audio file for voice cloning. By default, it uses public sample audio from Qwen3. CRITICAL: You can provide your own reference audio using the --ref-audio and --ref-text flags.
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
3 Scripts1 Docs1 Files
- SKILL.md
- src/chichi_speech/__init__.py
- src/chichi_speech/client.py
- src/chichi_speech/server.py
- pyproject.toml