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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 source installs☆ 0 Repository stars

Installation

Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.

SkillHub CLI

skillhub install blue-coconut/mm-voice-maker

Inspect the source and compatibility requirements, then follow its installation steps.

Give your agent the source link and ask it to inspect instructions and dependencies before explaining the installation steps.

View source ↗Guides

Skill 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...

Source information

Source
github
Repository
openclaw/skills
Path
skills/blue-coconut/mm-voice-maker
Version
—
Commit
b9cbfd46aa33a4a9f474802fe8446626b0a1e898
Classification source
rules
Status
active
Visibility
public

These signals come from indexed source analysis and may lag behind changes. Check the current source files.

Extracted content

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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