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Kirankumar2604
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photo-editor

Resize, crop, filter, and remove watermarks from images in batches.

Updated Apr 28, 2026
Search Tags:#optimization#image editing#batch processing#computer vision#photo processing
One-click install
npx skills add https://github.com/Kirankumar2604/solutionChallenge --skill photo-editor-kirankumar2604
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: photo-editor
Source: https://github.com/Kirankumar2604/solutionChallenge/tree/main/.local/secondary_skills/photo-editor
Command: npx skills add https://github.com/Kirankumar2604/solutionChallenge --skill photo-editor-kirankumar2604

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires Pillow, opencv-python, numpy, sharp, rembg.

What problem does it solve?

This skill resolves the friction of manual image manipulation by providing a standardized, programmatic approach to resizing, cropping, filtering, and optimizing images for various platforms.

Core Features & Use Cases

  • Automated Image Processing: Perform batch resizing, format conversion, and high-quality cropping using industry-standard libraries like Pillow and OpenCV.
  • Advanced Restoration: Remove watermarks using intelligent inpainting and perform face-aware cropping for perfect profile pictures.
  • Use Case: Quickly process a folder of raw product photos by auto-rotating based on EXIF data, removing backgrounds, and exporting them as optimized WebP files for a website.

Quick Start

Use the photo-editor skill to resize all images in the photos directory to 1080x1080 pixels and save them as optimized webp files.

Frequently Asked Questions about photo-editor

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I batch resize and convert images to WebP format?▼

Batch resize images and convert formats to optimized WebP files using automated processing pipelines with Pillow and OpenCV, handling high-volume directories of raw photos at specific dimensions like 1080x1080 pixels.

Can I use OpenCV and Pillow for automated background removal?▼

Automated background removal is supported through computer vision-based tasks utilizing OpenCV and the rembg library, enabling extraction of subjects from raw product photos for optimized WebP export.

What's the best way to remove watermarks from photos programmatically?▼

Remove watermarks programmatically through intelligent inpainting techniques, performing advanced image restoration within the automated manipulation pipeline without manual editing friction.

Does this image processing approach support face detection for cropping?▼

Face detection is supported for face-aware cropping using computer vision-based tasks to identify faces and automatically ensure perfect profile picture framing during the cropping process.

How do I auto-rotate raw product photos based on EXIF data?▼

Auto-rotate raw product photos based on EXIF data using automated image processing features, standardizing orientation before removing backgrounds and exporting as optimized WebP files.

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