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mm-voice-maker

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.

blue-coconut0 installations selon la source☆ 0 Étoiles du dépôt

Installation

Suivez les instructions du dépôt pour votre agent. Consultez les fichiers et dépendances avant l’installation.

SkillHub CLI

skillhub install blue-coconut/mm-voice-maker

Examinez 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.

Voir la source ↗Guides

Instructions

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...

Informations sur la source

Source
github
Repository
openclaw/skills
Path
skills/blue-coconut/mm-voice-maker
Version
—
Commit
b9cbfd46aa33a4a9f474802fe8446626b0a1e898
Source de classification
rules
Statut
active
Visibilité
public

Ces informations proviennent de l’analyse indexée et peuvent être anciennes. Vérifiez les fichiers actuels.

Contenu extrait

SKILL.md
# 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...

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