A sophisticated AI skill designed to automate professional video post-production, from background matting to high-resolution upscaling.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install video-edit
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-edit 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?
The Video Editing skill provides a structured framework for AI agents to perform high-end video manipulation and enhancement tasks. By integrating with leading tools like Runway, Topaz Video AI, and DaVinci Resolve, it enables automated workflows for complex processes such as rotoscoping, color correction, and frame interpolation. This skill is essential for developers and creators using Openclaw Skills to maintain professional-grade production standards while leveraging the speed of artificial intelligence.
Built with a focus on non-destructive editing, the skill ensures that original assets remain untouched while generating high-quality proxies and final exports. Whether you are cleaning up audio for a podcast or upscaling legacy footage to 4K, this skill provides the necessary logic and tool-chain integration to deliver consistent, flicker-free results.
Video Editing Use Cases
- Removing backgrounds from talking-head videos without the need for a physical green screen.
- Upscaling low-resolution or legacy video files to modern 4K standards using AI models.
- Stabilizing shaky handheld footage for professional cinematic delivery.
- Automating audio cleanup to remove background noise and enhance vocal clarity.
- Creating smooth slow-motion effects through AI-driven frame interpolation.
How Video Editing Works
- Identify the specific editing requirement such as background removal, stabilization, or color grading.
- Consult the internal technique library to determine the best provider-specific tool for the task.
- Initialize a non-destructive workflow by creating working copies and low-resolution proxies of the source media.
- Execute the enhancement pipeline in stages, typically beginning with stabilization and noise reduction before moving to color and effects.
- Apply AI-driven upscaling and sharpening as the final visual processing step to ensure maximum detail.
- Conduct a quality check of keyframes to mitigate AI-induced flickering or artifacts between cuts.
- Export the final media using optimized presets for specific platforms like YouTube or high-bitrate archival masters.
Video Editing Setup
To get started with this skill, ensure your environment has the necessary processing libraries installed:
# Install FFmpeg for media handling
brew install ffmpeg
# Initialize the video editing skill configuration
openclaw skill setup video-editing
Users should also verify access to third-party AI providers (Runway, Topaz, etc.) as detailed in the tools configuration file within the Openclaw Skills directory.
Video Editing Data Schema & Taxonomy
The skill manages video projects through a tiered data structure to ensure file integrity and efficient processing:
| Data Type | Description | File Standards |
|---|---|---|
| Source Media | The original untouched footage | ProRes, DNxHD, H.264 |
| Project Proxies | Low-bitrate files for fast AI inference | 720p / H.264 |
| Alpha Mattes | Transparency data for background removal | .png sequence / ProRes 4444 |
| Master Exports | High-quality archival outputs | ProRes 422 / DNxHR |
| Delivery Files | Compressed files optimized for web/social | H.264 / H.265 |
Video Editing Advanced Features
- Multi-stage enhancement pipelines that process audio and video tracks independently for maximum clarity.
- Automated frame rate interpolation (RIFE/Topaz) to convert 24fps or 30fps footage into smooth 60fps+ output.
- Intelligent proxy workflows that allow AI agents to calculate transforms on light files before applying them to high-res masters.
- Custom LUT (Look-Up Table) support for consistent automated color grading across multiple video clips.
- Seamless integration with other Openclaw Skills for multi-agent media production environments.
SKILL.md
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