An AI-driven video editing skill that transforms raw footage into polished 1080p MP4 videos with music and transitions in under two minutes.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install video-maker-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-maker-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 Maker Automatic is a powerful tool within the Openclaw Skills ecosystem designed to eliminate the steep learning curve of professional video editing software. By leveraging a cloud-based GPU rendering pipeline, it allows users to simply describe their vision to receive a finished product. Whether you are a marketer or a content creator, this skill streamlines the production of high-quality content without the need for manual frame-by-frame adjustments.
The skill connects directly to a sophisticated backend that handles complex tasks like compositing video layers, applying transitions, and syncing background music. By using Openclaw Skills like this one, developers and creators can integrate professional-grade video processing into their automated workflows, ensuring fast turnarounds for social media, presentations, and tutorials.
To get started with this member of the Openclaw Skills family, ensure your environment is configured:
# Export your Nemo API token
export NEMO_TOKEN="your_token_here"
# The skill will automatically detect the token.
# If not found, it will generate an anonymous token with 100 free credits.
The skill maintains configuration and session data in ~/.config/nemovideo/ to ensure persistent project states.
The skill organizes video projects using a structured session-based taxonomy:
| Component | Description | Data Type |
|---|---|---|
| tracks (t) | The vertical layers of the video (Video, Audio, Text) | Array |
| track type (tt) | ID for content type: 0 (Video), 1 (Audio), 7 (Text) | Integer |
| segments (sg) | Specific timing and duration of clips on the timeline | Object |
| metadata (m) | Resolution, aspect ratio, and file format info | Object |
| session_id | Unique identifier for the current cloud project | String |
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