An AI-powered video editing skill that automates Arabic subtitle generation and right-to-left captioning through a high-speed cloud rendering pipeline.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install video-maker-arabic
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install video-maker-arabic 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 Maker Arabic?
Video Maker Arabic is a specialized tool designed to bridge the gap between complex video editing software and rapid content creation. It enables users to transform raw video clips or images into polished, social-media-ready content by simply describing their needs. The skill excels at handling the nuances of the Arabic language, specifically providing native support for right-to-left (RTL) text alignment and automated captioning.
By leveraging Openclaw Skills, this tool connects directly to a powerful cloud GPU rendering engine. It eliminates the need for manual keyframing or font alignment, allowing creators to focus on their message while the AI handles the technical composition, platform-specific compression, and Arabic text rendering in under 60 seconds.
Video Maker Arabic Use Cases
- Automatically add Arabic subtitles and right-to-left captions to my video for social media platforms like TikTok or Instagram.
- Convert raw English-language video clips into Arabic-localized marketing content with appropriate text overlays.
- Rapidly generate 1080p MP4 exports of product demos featuring Arabic descriptions.
- Batch process multiple media assets in a single session to maintain consistent styling across a video series.
How Video Maker Arabic Works
- Session Initiation: The skill establishes a secure connection to the Nemo Video cloud API using a NEMO_TOKEN.
- Media Upload: Users provide MP4, MOV, or other supported files which are uploaded to the cloud editing session.
- Intent Processing: Natural language instructions are analyzed to determine the required edits, such as adding background music or Arabic text.
- Cloud Rendering: A GPU-accelerated pipeline composites the video layers, applying RTL text logic and 1080p compression.
- State Management: The skill tracks the project timeline (tracks, segments, and metadata) to allow for iterative refinements.
- Export & Delivery: The final rendered video is provided as a high-quality download URL within 30-90 seconds.
Video Maker Arabic Setup
To get started with this skill within the Openclaw Skills ecosystem, ensure you have your environment configured:
# Set your API token
export NEMO_TOKEN="your_token_here"
# The skill will automatically generate a UUID client identifier
# and establish a session on first use.
If no token is found, the skill will attempt to provision an anonymous token with 100 free credits for immediate testing.
Video Maker Arabic Data Schema & Taxonomy
The skill organizes project data through a structured session state, mapping various media types to a track-based timeline:
| Track Type | ID | Description |
|---|---|---|
| Video | 0 | Primary visual layers and clips |
| Audio | 1 | Background music (BGM) and voiceovers |
| Text | 7 | Arabic subtitles and captions |
Data is managed using a shorthand mapping for efficiency: t (tracks), tt (track type), sg (segments), and d (duration in ms).
Video Maker Arabic Advanced Features
- Automated RTL Alignment: Native support for right-to-left text rendering without manual coordinate adjustment.
- SSE Stream Integration: Real-time progress updates via Server-Sent Events for long-running render tasks.
- Smart GUI Mapping: Translates abstract visual instructions (like drag and drop) into precise API commands.
- Credit & Balance Tracking: Integrated monitoring of render credits and session expiry (7-day anonymous token life).
- Multi-Format Support: Handles diverse inputs including MP4, WebM, GIF, and PNG with up to 500MB per file.
SKILL.md
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