A professional-grade AI agent skill that replaces raw video backgrounds with clean, high-quality settings 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-editing-ai-background
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-editing-ai-background 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 Editing AI Background?
Video Editing AI Background is a powerful tool designed to transform raw video footage into polished, background-swapped content. Leveraging cloud GPUs, this skill allows users to replace messy or cluttered backgrounds in video calls and recordings with professional settings like clean offices or custom environments. It supports high-definition 1080p output in the MP4 format by default, ensuring that the final product is ready for professional use.
Built for the modern creator, it integrates seamlessly with Openclaw Skills to handle complex tasks like edge detection and layer compositing without requiring any local software installation. Whether you are a remote worker, online educator, or content creator, this skill streamlines the video post-production process by automating the most tedious aspects of green-screen-style editing.
Video Editing AI Background Use Cases
- Replacing cluttered room backgrounds in webcam recordings with professional office settings.
- Enhancing video quality for online educators by removing distractions from instructional content.
- Creating high-quality social media content with background-swapped visuals in 1080p.
- Batch processing multiple video files to apply consistent branding or environmental themes.
- Rapidly prototyping video edits by iterating on background styles within a single session.
How Video Editing AI Background Works
- The user uploads raw video footage (up to 500MB) directly to the agent session.
- The skill authenticates via NEMO_TOKEN and establishes a cloud-based session for the project.
- User instructions are parsed via intent classification to determine the specific background replacement or editing action.
- The task is offloaded to a cloud GPU node which performs the AI background removal and layer compositing.
- The system applies H.264 compression to generate an optimized 1080p MP4 file.
- A download URL is provided to the user once the render job is completed, typically within 30-90 seconds.
Video Editing AI Background Setup
To enable the Video Editing AI Background skill, ensure your environment is configured with the necessary API credentials.
# Set your Nemo Video API token
export NEMO_TOKEN="your_token_here"
# Alternatively, the skill will automatically generate
# an anonymous token on your first interaction.
The skill requires the attribution headers X-Skill-Source and X-Skill-Version to be included in all API requests to [https://mega-api-prod.nemovideo.ai](https://mega-api-prod.nemovideo.ai).
Video Editing AI Background Data Schema & Taxonomy
The skill manages video projects using a specific metadata taxonomy and draft mapping to track timeline changes:
| Field | Description |
|---|---|
t |
Tracks (The array of media layers) |
tt |
Track Type (0=Video, 1=Audio, 7=Text) |
sg |
Segments (Specific clips on the timeline) |
d |
Duration (Measured in milliseconds) |
m |
Metadata (File info and properties) |
Supported formats include: MP4, MOV, AVI, WebM, MKV, JPG, PNG, GIF, WebP, MP3, WAV, M4A, and AAC.
Video Editing AI Background Advanced Features
- Multi-track timeline management allowing simultaneous video, audio, and text overlay processing.
- Intelligent GUI instruction translation that maps conversational intent (e.g., "drag/drop") to specific API endpoints.
- SSE (Server-Sent Events) streaming for real-time status updates during intensive cloud render jobs.
- Iterative project refinement where the session state is preserved for multiple editing passes.
- Automated credit management and session recovery for professional workflows.
SKILL.md
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