Turn silent product demos and raw footage into professional 1080p voiced-over videos in under 60 seconds through simple text prompts.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install voiceover-ai-maker
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install voiceover-ai-maker using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
Voiceover AI Maker is a high-performance tool designed for Openclaw Skills that bridges the gap between raw video assets and polished social content. By leveraging a cloud-based GPU rendering pipeline, it allows developers and creators to transform silent or muted videos into 1080p MP4 files with natural-sounding AI voices by simply describing the desired outcome. This skill eliminates the need for manual timeline editing and complex export settings.
The tool is optimized for speed, typically processing a 2-minute demo into a finished product within 30-90 seconds. Whether you are building automated marketing workflows or enhancing educational content, this skill provides a programmatic and conversational interface to a robust video processing backend, making high-quality video production accessible directly via Openclaw Skills.
To integrate this into your Openclaw Skills environment, ensure you have the necessary environment variables configured.
NEMO_TOKEN in your system environment. If not present, the skill will attempt to generate an anonymous token with 100 free credits.~/.config/nemovideo/ is accessible.# The skill handles this internally, but you can trigger a check
"How many credits do I have left?"
The skill manages video projects using a specific draft schema with short-key metadata for efficient transmission. It tracks media via the following taxonomy:
| Key | Definition | Description |
|---|---|---|
t |
Tracks | Array of media layers within the session |
tt |
Track Type | 0 = Video, 1 = Audio, 7 = Text |
sg |
Segments | Specific time-blocks of media within a track |
d |
Duration | Length of the segment in milliseconds |
m |
Metadata | Additional properties like volume or font styles |
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