An intelligent framing tool designed to remove distracting space and tighten video compositions for social media, ads, and storefronts.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install creator-video-cropper
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-cropper 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 Cropper?
The Video Cropper is a specialized utility within the Openclaw Skills ecosystem designed to solve compositional issues in video production. It targets videos that are technically sound but poorly framed for specific platforms like social media or ecommerce. By identifying the core subject—whether it is a product, a face, or a specific demo action—this skill removes irrelevant background information and wasted space to ensure the viewer's attention remains fixed on the intended focal point.
This skill goes beyond simple geometric centering. It analyzes the specific area to preserve, such as hands or subtitles, and applies a framing rationale that balances visibility with professional aesthetics. It is particularly effective for transforming raw footage into polished assets ready for platform-specific placement where tight, high-impact visuals are required.
Video Cropper Use Cases
- Tightening the frame when a subject appears too small or distant.
- Removing distracting edges or unnecessary background information from product demos.
- Creating cleaner framing for specialized ecommerce or storefront video listings.
- Optimizing raw source footage for social media ads that require a high-impact, balanced crop.
How Video Cropper Works
- Subject Identification: Analyze the source video to identify the primary subject (e.g., face, product, or hands) that must remain in frame.
- Space Optimization: Calculate the area to preserve while identifying and removing wasted or distracting edge space.
- Contextual Adjustment: Align the crop with the target platform context and framing style (tight, balanced, or conservative) to ensure readability.
- Motion Risk Assessment: Evaluate the footage for subject motion that might exceed the boundaries of a static crop.
- Export & Rationale: Generate the final composition along with a detailed rationale for the chosen crop focus.
Video Cropper Setup
To integrate this framing capability into your workflow using Openclaw Skills, ensure your environment is configured for video processing.
# Example command to initialize the video-cropper skill
openclaw install video-cropper
# Configure framing style and subject focus
openclaw configure video-cropper --style balanced --focus product
Video Cropper Data Schema & Taxonomy
The skill organizes its output and processing logic using a structured approach to metadata and framing rationale:
| Attribute | Description |
|---|---|
| Crop Focus | The specific entity preserved (e.g., product, face, hands) |
| Rationale | Technical justification for the selected framing boundaries |
| Platform Fit | Compatibility rating for the target social or ecommerce use case |
| Motion Risk | Warning flag for footage where subjects may exit the static crop area |
Video Cropper Advanced Features
- Subject-Aware Preservations: Explicitly protects critical elements like subtitles or hands from being 'amputated' during the crop process.
- Dynamic Risk Warnings: Automatically flags motion-heavy footage where a static crop is likely to fail, recommending alternative motion-tracking workflows.
- Multi-Style Presets: Supports various framing intensities including tight, balanced, or conservative crops to match diverse brand guidelines within the Openclaw Skills framework.
SKILL.md
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