A professional AI-driven skill that converts live-action video footage into stylized 1080p cartoon animations via simple text prompts.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install cartoon-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 cartoon-video using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
Cartoon Video is a powerful addition to the Openclaw Skills ecosystem designed for creators who want to bypass complex video editing software. By leveraging cloud-based GPU rendering, it allows users to transform standard video clips into high-quality cartoon-styled content. The skill handles everything from outlines to color flattening, ensuring a professional aesthetic without the need for manual rotoscoping or frame-by-frame animation.
Built for efficiency, this skill operates through a seamless interface where natural language commands drive the creative process. Whether you are looking to create social media content or unique artistic visuals, Cartoon Video provides a robust pipeline that bridges the gap between raw footage and polished animation in minutes.
To use this within the Openclaw Skills framework, ensure your environment is configured. The skill will attempt to auto-configure on first use.
# Set your API token if you have a pro account
export NEMO_TOKEN="your_token_here"
# The skill files are typically located in:
# ~/.clawhub/ (for Openclaw users)
# ~/.cursor/skills/ (for Cursor users)
If no token is found, the skill automatically calls the anonymous auth endpoint to get you started immediately.
The skill utilizes a structured mapping system to manage the video timeline and metadata:
| Key | Mapping | Description |
|---|---|---|
t |
Tracks | Array of media layers (Video, Audio, Text) |
tt |
Track Type | 0: Video, 1: Audio, 7: Text |
sg |
Segments | Specific time-slices of media within a track |
d |
Duration | Length of the segment in milliseconds |
m |
Metadata | Technical specs and AI stylization parameters |
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