Cartoon Video for Openclaw

A professional AI-driven skill that converts live-action video footage into stylized 1080p cartoon animations via simple text prompts.

francemichaell-15
v1.0.0
May 11, 2026
0
219
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install cartoon-video

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

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).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is Cartoon Video?

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.

Cartoon Video Use Cases

  • Converting 30-second live-action talking head clips into vibrant, animated cartoon sequences.
  • Generating social media content with bold outlines and flat colors for a distinct visual brand.
  • Batch processing multiple video assets within a single session to maintain stylistic consistency.
  • Rapidly prototyping animation styles using iterative text prompts like convert my video into an animated cartoon style.

How Cartoon Video Works

  1. Authentication: The skill checks for a NEMO_TOKEN or automatically generates an anonymous token with 100 free credits.
  2. Session Initiation: A dedicated project session is created on the cloud backend to track the timeline and media state.
  3. Media Upload: Users upload video or image files (up to 500MB) which are stored in the session context.
  4. Instruction Processing: Natural language prompts are sent via an SSE (Server-Sent Events) stream to describe the desired cartoon effect.
  5. Cloud Rendering: The backend composites video layers and applies AI stylization on high-performance GPU nodes.
  6. Export & Delivery: The final 1080p MP4 file is rendered, and a temporary download link is provided to the user.

Cartoon Video Setup

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.

Cartoon Video Data Schema & Taxonomy

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

Cartoon Video Advanced Features

  • Multi-track timeline support allowing for background music (BGM) overlays and text titling.
  • Automatic credit management and session persistence to prevent data loss during long renders.
  • Intelligent GUI instruction translation that converts visual commands into backend API calls.
  • Support for a wide range of formats including MP4, MOV, WebM, and various image types like WebP and GIF.
  • Real-time status polling for render jobs with automatic error handling for rate limits (429) or expired sessions.

SKILL.md


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