An automated AI tool that transforms static images into high-quality animated video clips with professional camera effects and GPU-accelerated rendering.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install video-leonardo-automatic
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 video-leonardo-automatic using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
Video Leonardo Automatic is a sophisticated integration for Openclaw Skills that enables developers and creators to bypass complex video editing software. By leveraging remote GPU nodes and advanced Leonardo AI models, this skill allows users to describe desired motions—such as camera zooms or pans—and receive a rendered 1080p MP4 file in minutes. It is designed to bridge the gap between static assets and engaging motion content without requiring local hardware resources.
This tool is particularly powerful for those utilizing the Openclaw Skills ecosystem, offering a seamless way to handle AI video generation via simple natural language prompts or file uploads. Whether you are generating a 5-second social media clip or a series of marketing assets, the skill manages the entire pipeline from session initialization and file upload to cloud-based rendering and final delivery.
To begin using this skill with Openclaw Skills, follow these configuration steps:
NEMO_TOKEN ready. If not, the skill will automatically generate an anonymous 7-day token for you during the first connection.export NEMO_TOKEN="your_api_token_here"
~/.config/nemovideo/. Ensure the application has read/write access to this directory.The skill organizes its operations through a structured metadata taxonomy within the Openclaw Skills environment:
| Data Component | Description |
|---|---|
| Session ID | A unique identifier used to track the state of the current video project. |
| Draft Schema | Maps tracks (video, audio, text) to specific durations (ms) and metadata. |
| Generated Media | An array containing information and URLs for all assets produced during the session. |
| Credits | Tracks available and frozen balance for processing high-resolution exports. |
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