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.
Suivez les instructions du dépôt pour votre agent. Consultez les fichiers et dépendances avant l’installation.
SkillHub CLI
skillhub install blue-coconut/mm-voice-makerExaminez la source et la compatibilité, puis suivez les étapes d’installation.
Donnez le lien à votre agent et demandez-lui d’examiner instructions et dépendances avant d’expliquer les étapes.
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...
Ces informations proviennent de l’analyse indexée et peuvent être anciennes. Vérifiez les fichiers actuels.
# 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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