What problem does it solve? Editing images programmatically involves many pitfalls: sideways phone photos from EXIF orientation, distorted aspect ratios, slow pixel loops, and format-specific quirks. This Skill provides tested code patterns for common image operations so edits are correct on the first attempt. ## Core Features & Use Cases - Resize, Crop & Transform: Fit, pad, stretch, and face-aware cropping with Pillow and OpenCV, including correct EXIF orientation handling. - Color, Filters & Retouching: Adjust brightness, contrast, and saturation, apply blur/sharpen filters, remove watermarks via OpenCV inpainting, and add text or logo watermarks. - Optimization & Batch Processing: Convert between JPEG, PNG, WebP, and AVIF with quality guidance, strip metadata, and process entire folders; use sharp for high-throughput Node.js pipelines. - Use Case: You need 500 product photos resized to 1080x1080 WebP for a storefront. The batch processing pattern loops through the folder, fixes orientation, resizes with LANCZOS, and saves optimized WebP files. ## Quick Start Ask the AI to resize the attached photo to 1080x1080 and save it as an optimized WebP file.
