An AI-powered video editing skill that turns raw footage into polished 1080p MP4 videos through natural language instructions.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install free-video-editor-generator
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 free-video-editor-generator using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Free Video Editor Generator is a sophisticated technical tool designed for developers and content creators who want to automate post-production tasks. By leveraging Openclaw Skills, this tool removes the need for manual timeline editing, allowing users to perform complex operations like trimming pauses, adding background music, or generating text overlays simply by typing instructions. It connects your local environment to a powerful cloud GPU rendering pipeline that handles high-definition video processing efficiently.
This skill is particularly valuable for those looking to convert unedited screen recordings or raw clips into professional-grade social media content or tutorials. It bridges the gap between raw media and final exports by interpreting natural language intent and mapping it to specific video editing actions, ensuring a fast turnaround of about 1-2 minutes for most common tasks.
To get started with this skill within your Openclaw Skills setup, ensure you have the necessary environment variables configured. The skill can automatically provision an anonymous token if none is provided.
# Set your API token (Optional, auto-generated if missing)
export NEMO_TOKEN="your_nemo_video_token"
# The skill will create a session automatically on the first command
The skill manages video projects using a structured JSON draft format. The following table describes how the timeline metadata is organized:
| Field | Description |
|---|---|
t |
Array of tracks (layers) in the project |
tt |
Track type (0: Video, 1: Audio, 7: Text) |
sg |
Segments within the track containing media references |
d |
Duration of the segment in milliseconds |
m |
Metadata including file names and transformation properties |
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