An AI-driven video editing assistant that automates the creation of professional lessons, tutorials, and course content using simple text commands.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install video-lesson-editor
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-lesson-editor using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Video Lesson Editor is a sophisticated tool designed to eliminate the steep learning curve associated with traditional professional editing software. By leveraging high-performance cloud GPU nodes, this skill allows users to edit raw recordings by simply describing their desired outcome in plain language. Whether you need to remove long pauses, generate chapter titles, or burn-in subtitles, the AI handles the heavy lifting server-side, returning polished MP4 files in minutes. As a specialized component of Openclaw Skills, it streamlines the production workflow for educators, course creators, and developers who need high-quality output without manual labor.
To use this tool within the Openclaw Skills framework, you need to configure the authentication token and environment:
# Set your environment variable for authenticated access
export NEMO_TOKEN="your_token_here"
# If you do not have a token, the skill can generate an anonymous session
# providing 100 free credits valid for 7 days.
Ensure your configuration paths are set to ~/.config/nemovideo/ for persistent session management and project tracking.
The skill manages data using a session-based architecture where the timeline state is preserved throughout the editing process. Data is structured using the following taxonomy:
| Key | Description |
|---|---|
| session_id | Unique identifier for the current editing project project session. |
| t | Tracks within the timeline including Video, Audio, and Text layers. |
| tt | Track type identifiers: 0 for video, 1 for audio, and 7 for text overlays. |
| sg | Segments defining specific start and end times in milliseconds. |
| d | Duration values for assets and metadata objects. |
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