A cloud-powered AI video editor tailored for Arabic content creators to transcribe, caption, and edit raw footage with natural language commands.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install editor-ai-arabic
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 editor-ai-arabic using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
AI Editor Arabic is a specialized integration for Openclaw Skills designed to streamline the production of Arabic-language video content. It utilizes a powerful cloud-based GPU render pipeline to perform complex editing tasks—such as trimming silent pauses and generating precise Arabic subtitles—without taxing local hardware. By simply describing the desired outcome, creators can transform raw video files into professional 1080p MP4 outputs in minutes.
This skill is built for efficiency, handling everything from initial file uploads to final compositing. It bridges the gap between raw video capture and social-media-ready content, making advanced video editing accessible through an intuitive AI-driven interface. Whether you are working with talking-head videos or multi-track projects, this tool ensures high-quality Arabic transcription and seamless video layering.
To utilize this skill within the Openclaw Skills ecosystem, follow these configuration steps:
NEMO_TOKEN is set. If unavailable, the skill will automatically generate a 7-day anonymous token using a unique Client-ID.~/.config/nemovideo/ for persistent configuration storage.# Set your token to bypass anonymous authentication
export NEMO_TOKEN="your_api_token_here"
/api/tasks/me/with-session/nemo_agent to start your project.The skill utilizes a structured JSON draft format to manage the video timeline and metadata:
| Key | Type | Description |
|---|---|---|
t |
Array | Contains all timeline tracks (Video, Audio, Text) |
tt |
Integer | Track Type (0=video, 1=audio, 7=text) |
sg |
Array | Segments belonging to a specific track |
d |
Integer | Duration of the segment in milliseconds |
m |
Object | Metadata including file info and generated media URLs |
All project data is bound to a session_id, allowing for persistent editing across different interactions.
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