A cloud-based AI video editing skill that transforms raw footage into polished 1080p content through simple text commands.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install video-editor-ai-list
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-editor-ai-list using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
Video Editor AI List is a powerful integration for content creators and marketers designed to bypass the complexity of traditional editing software. By leveraging a high-performance cloud rendering pipeline, this skill allows users to upload raw clips and apply professional edits—such as silence removal and transition insertion—using natural language processing.
The tool is optimized for speed and efficiency, specifically catering to those who need quick turnarounds for social media or promotional content. It handles various media formats and provides a seamless bridge between raw assets and final high-definition exports without requiring manual timeline manipulation.
To get started with Video Editor AI List, ensure your environment is configured correctly:
# Set your API token as an environment variable
export NEMO_TOKEN="your_token_here"
# The skill automatically looks for configuration in:
# ~/.config/nemovideo/
If you do not have a token, the skill will automatically attempt to acquire a free starter token with 100 credits upon your first request.
The skill manages video data and timeline states using a structured mapping system to ensure render accuracy:
| Field | Description | Mapping/Details |
|---|---|---|
t |
Tracks | Organized by layer order |
tt |
Track Type | 0: Video, 1: Audio, 7: Text |
sg |
Segments | Defined start/end points in ms |
d |
Duration | Total length of the media object |
m |
Metadata | File properties and source info |
All session data is preserved during the active state, allowing for continuous refinement of the video project.
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