Task Router Skill
Task Router
Enables voice synthesis, voice cloning, voice design, and audio post-processing using MiniMax Voice API and FFmpeg. Use when converting text to speech, creating custom voices, or processing/merging audio.
请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求,再添加到工作流。
SkillHub CLI
skillhub install blue-coconut/mm-voice-maker打开来源仓库,查看说明和兼容环境后,按来源提供的命令或步骤安装。
将来源链接提供给你的 Agent,让它先读取说明、核对依赖,并向你说明将执行的安装步骤。
Professional text-to-speech skill with emotion detection, voice cloning, and audio processing capabilities powered by MiniMax Voice API and FFmpeg.
| Area | Features |
|---|---|
| TTS | Sync (HTTP/WebSocket), async (long text), streaming |
| Segment-based | Multi-voice, multi-emotion synthesis from segments.json, auto merge |
| Voice | Cloning (10s–5min), design (text prompt), management |
| Audio | Format conversion, merge, normalize, trim, remove silence (FFmpeg) |
mmVoice_Maker/
├── SKILL.md # This overview
├── mmvoice.py # CLI tool (recommended for Agents)
├── check_environment.py # Environment verification
├── requirements.txt
├── scripts/ # Entry: scripts/__init__.py
│ ├── utils.py # Config, data classes
│ ├── sync_tts.py # HTTP/WebSocket TTS
│ ├── async_tts.py # Long text TTS
│ ├── segment_tts.py # Segment-based TTS (multi-voice, multi-emotion)
│ ├── voice_clone.py # Voice cloning
│ ├── voice_design.py # Voice design
│ ├── voice_management.py # List/delete voices
│ └── audio_processing.py # FFmpeg audio tools
└── reference/ # Load as needed
├── cli-guide.md # CLI usage guide
├── getting-started.md # Setup and quick test
├── tts-guide.md # Sync/async TTS workflows
├── voice-guide.md # Clone/design/manage
├── audio-guide.md # Audio processing
├── script-examples.md # Runnable code snippets
├── troubleshooting.md # Common issues
├── api_documentation.md # Complete API reference
└── voice_catalog.md # Voice selection guide
6-step workflow: [step1]. Verify environment
[step2-preparation]⚠️NO...
这些信息来自收录时的来源分析,可能滞后;使用前请核对最新来源文件。
# MiniMax Voice Maker
Professional text-to-speech skill with emotion detection, voice cloning, and audio processing capabilities powered by MiniMax Voice API and FFmpeg.
## Capabilities
| Area | Features |
|------|----------|
| **TTS** | Sync (HTTP/WebSocket), async (long text), streaming |
| **Segment-based** | Multi-voice, multi-emotion synthesis from segments.json, auto merge |
| **Voice** | Cloning (10s–5min), design (text prompt), management |
| **Audio** | Format conversion, merge, normalize, trim, remove silence (FFmpeg) |
## File structure:
```
mmVoice_Maker/
├── SKILL.md # This overview
├── mmvoice.py # CLI tool (recommended for Agents)
├── check_environment.py # Environment verification
├── requirements.txt
├── scripts/ # Entry: scripts/__init__.py
│ ├── utils.py # Config, data classes
│ ├── sync_tts.py # HTTP/WebSocket TTS
│ ├── async_tts.py # Long text TTS
│ ├── segment_tts.py # Segment-based TTS (multi-voice, multi-emotion)
│ ├── voice_clone.py # Voice cloning
│ ├── voice_design.py # Voice design
│ ├── voice_management.py # List/delete voices
│ └── audio_processing.py # FFmpeg audio tools
└── reference/ # Load as needed
├── cli-guide.md # CLI usage guide
├── getting-started.md # Setup and quick test
├── tts-guide.md # Sync/async TTS workflows
├── voice-guide.md # Clone/design/manage
├── audio-guide.md # Audio processing
├── script-examples.md # Runnable code snippets
├── troubleshooting.md # Common issues
├── api_documentation.md # Complete API reference
└── voice_catalog.md # Voice selection guide
```
## Main Workflow Guideline (Text to Speech)
**6-step workflow:**
[step1]. Verify environment
[step2-preparation]⚠️NO...Task Router
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