An AI-powered video editing skill that transforms raw footage into professional 1080p MP4 videos using cloud GPU rendering.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install video-ai
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-ai 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 AI?
The Video AI skill is a specialized tool within the collection of Openclaw Skills designed to simplify the post-production process for content creators and marketers. It allows users to send raw video footage in formats like MP4, MOV, or WebM and receive a fully edited, high-definition result without needing local editing software or powerful hardware.
By offloading processing to remote GPU nodes, this skill performs complex tasks such as silence removal, captioning, and multi-track compositing. It bridges the gap between raw recordings and professional-grade exports, making it an essential component for anyone looking to scale their video content production via Openclaw Skills.
Video AI Use Cases
- Automatically editing and enhancing raw video recordings for social media.
- Cutting silences from long screen recordings to create concise tutorials.
- Adding AI-generated captions and text overlays to increase viewer engagement.
- Batch processing multiple clips in a single session for consistent branding and style.
How Video AI Works
- The skill initializes by connecting to the backend API, either using a provided NEMO_TOKEN or acquiring an anonymous starter token.
- Users upload raw video files (up to 500MB) which are stored in a session-specific cloud environment.
- Natural language prompts are sent via an SSE (Server-Sent Events) stream, where the AI interprets requests like 'add BGM' or 'cut silences'.
- The cloud render pipeline processes these instructions on GPU nodes to composite layers and apply H.264 compression.
- The skill polls the render status every 30 seconds and provides a final download URL for the 1080p MP4 file once complete.
Video AI Setup
To get started with this skill, ensure you have your environment variables configured. If you have a specific API token, set it in your environment:
export NEMO_TOKEN="your_nemo_api_token"
For users without a token, the skill will automatically generate a UUID and acquire a free starter token with 100 credits. Ensure the configuration directory exists on your system:
mkdir -p ~/.config/nemovideo/
Video AI Data Schema & Taxonomy
The skill organizes video data using a structured session state that tracks the timeline and media metadata:
| Key | Description |
|---|---|
session_id |
Manages the continuity of the video project across multiple requests. |
draft |
The central JSON object representing the timeline, including tracks and segments. |
tt |
Track type indicator: 0 for video, 1 for audio, and 7 for text/captions. |
d |
Duration of segments measured in milliseconds (ms). |
video_infos |
Metadata regarding the uploaded raw assets, such as resolution and bit rate. |
Video AI Advanced Features
- Multi-track editing support including background music (BGM) and dynamic text overlays.
- Iterative timeline refinement where the session state persists between multiple prompts for non-destructive editing.
- Remote GPU rendering for 1080p MP4 exports in under two minutes, optimized for fast turnaround.
- Automatic credit balance management and anonymous session handling for instant access to Openclaw Skills capabilities.
SKILL.md
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