Video Lesson Editor for Openclaw

An AI-driven video editing assistant that automates the creation of professional lessons, tutorials, and course content using simple text commands.

peand-rover
v1.0.0
Apr 13, 2026
0
355
0

Install & Download

1. ClawHub CLI

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

npx clawhub@latest install video-lesson-editor

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 video-lesson-editor 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 Video Lesson Editor?

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.

Video Lesson Editor Use Cases

  • Automated editing of raw screen recordings into structured 1080p tutorials for YouTube or Udemy.
  • Removing dead air and long pauses from lecture footage without manual trimming.
  • Adding text overlays, chapter titles, and subtitles to improve lesson accessibility and engagement.
  • Converting various video formats like WebM or AVI into platform-ready MP4 files for learning management systems.
  • Rapidly iterating on video drafts using iterative chat-based feedback loops within the agent interface.

How Video Lesson Editor Works

  1. Establish a connection to the backend using an authentication token and initialize a project session to track edits.
  2. Upload raw video assets up to 500MB directly through the agent interface to the secure cloud storage.
  3. Provide natural language instructions via the SSE chat stream to define edits like cuts, audio leveling, or text additions.
  4. Monitor the session state as the cloud GPU node processes layers and applies platform-specific compression in real-time.
  5. Trigger the export process to generate a final download URL for the rendered video file once the preview is satisfactory.

Video Lesson Editor Setup

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.

Video Lesson Editor Data Schema & Taxonomy

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.

Video Lesson Editor Advanced Features

  • Multi-track compositing support for layering video, background music, and text overlays in a single render job.
  • Server-side rendering on remote GPU nodes, ensuring high-speed exports without taxing local hardware resources.
  • Intelligent SSE stream handling that translates backend GUI instructions into actionable developer-friendly tasks.
  • Batch processing capabilities allowing users to upload multiple assets and apply varying edits within a single Openclaw Skills session.
  • Automatic credit management and balance tracking to monitor consumption across complex editing tasks.

SKILL.md


Loading

Related Openclaw Skills

METADATA

Requires
Github Stars: 0
forks: 0

Featured*