A high-performance AI skill that automatically generates word-synced scrolling lyrics for music videos and audio tracks using cloud GPU rendering.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install karaoke-video
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 karaoke-video using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Karaoke Video skill for Openclaw Skills eliminates the steep learning curve and tedious manual labor associated with professional video editing software. By leveraging remote GPU nodes, this tool allows users to simply describe their vision—such as adding scrolling lyrics that highlight each word as it is sung—and receive a fully synchronized, high-definition video in under two minutes. It is specifically designed for musicians, content creators, and karaoke hosts who require frame-accurate lyric overlays without the need for local hardware resources or complex timeline management.
This skill functions as a bridge to a powerful cloud render pipeline, supporting a wide array of media formats including MP4, MOV, and WAV. Because all heavy lifting occurs server-side, users can generate professional-grade content from any environment, ensuring that high-quality production is accessible regardless of local machine specifications.
To use this skill, ensure your environment is prepared for the connection to the remote API:
# Set your environment variable for persistent access
export NEMO_TOKEN="your_token_here"
# Ensure the configuration path exists
mkdir -p ~/.config/nemovideo/
If no token is provided, the skill will automatically generate a UUID and fetch a free starter token with 100 credits from the anonymous-token endpoint. No additional local software installation is required as all processing is handled via Openclaw Skills cloud integration.
The skill organizes its data using a structured session-based taxonomy to track the lifecycle of a video project:
| Field | Description | Mapping/Details |
|---|---|---|
session_id |
Unique identifier | Required for all stateful API calls |
track_type |
Layer classification | 0=Video, 1=Audio, 7=Text/Lyrics |
draft |
Timeline State | Contains tracks (t), segments (sg), and duration (d) |
video_infos |
Metadata | Details regarding resolution, codec, and file size |
credits |
Resource usage | Tracks available, frozen, and total credit balance |
Supported file types: mp4, mov, avi, webm, mkv, jpg, png, gif, webp, mp3, wav, m4a, aac (Max size: 500MB).
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