Automate video resizing and aspect ratio adaptation for social media, ecommerce platforms, and digital advertising without compromising visual integrity.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install creator-video-resizer
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 creator-video-resizer 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 Resizer?
The Video Resizer is a specialized tool within the Openclaw Skills ecosystem designed to solve the common challenge of platform-specific video formatting. Instead of manually re-exporting files for every destination, this skill intelligently adapts source footage for vertical short-form content, square advertisements, and standard widescreen displays. It ensures that products and subjects remain natural by avoiding amateur stretching and prioritizing the most critical visual areas.
By integrating this into your workflow, you can rapidly generate variants for TikTok, Instagram Reels, Amazon PDPs, and Shopify storefronts. The skill focuses on professional output standards, making it an essential asset for teams who need to maintain brand quality across diverse digital touchpoints using Openclaw Skills.
Video Resizer Use Cases
- Adapting raw source footage for TikTok, Instagram Reels, and YouTube Shorts (9:16).
- Creating square 1:1 or 4:5 video assets for Facebook and Instagram feed ads.
- Preparing product videos for Shopify or Amazon Product Detail Pages (PDP).
- Generating lightweight, low-resolution previews for internal team reviews and fast sharing.
How Video Resizer Works
- The skill identifies the target platform requirements and specific dimension constraints from the user input.
- It analyzes the source video to determine the optimal adaptation strategy: scaling, padding (letterboxing), or cropping.
- A priority area is identified—such as a face, product, or subtitles—to ensure key information is preserved during the resize.
- The engine processes the video to export one or more platform-ready files based on the chosen dimensions.
- A final summary is provided, detailing the framing tradeoffs and compatibility notes for the intended destination.
Video Resizer Setup
To enable this capability within your environment, ensure you have the Openclaw Skills framework initialized and the video processing dependencies installed:
# Install the video-resizer skill
claw install video-resizer
# Ensure ffmpeg or equivalent processing tools are available
sudo apt install ffmpeg
Video Resizer Data Schema & Taxonomy
The skill manages video metadata and output specifications through a structured taxonomy:
| Attribute | Description |
|---|---|
source_path |
The location of the original high-resolution video file. |
target_ratio |
The desired aspect ratio (e.g., 9:16, 1:1, 16:9). |
strategy |
The method used to handle size differences: crop, pad, or scale. |
priority_zone |
Metadata tag indicating which part of the frame to protect (e.g., center, top, bottom). |
output_specs |
Detailed resolution, bitrate constraints, and file format requirements. |
Video Resizer Advanced Features
- Multi-Platform Batching: Generate multiple resized variants (e.g., one for Ads, one for Stories) from a single source command.
- Visual Preservation Logic: Advanced detection to ensure people and products are never stretched unnaturally.
- Platform-Safe Presets: Built-in library of current safe-zone dimensions for major social and ecommerce platforms.
- Constraint Handling: Automatically adjust bitrates to meet specific file size limits for ad platform uploads.
SKILL.md
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