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image-processing

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Batch-convert and compress local images with Pillow; use when you need an offline, scriptable pipeline for directory-based processing.

scientific-skills/Other/image-processing/SKILL.md

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> **Source**: [https://github.com/aipoch/medical-research-skills](https://github.com/aipoch/medical-research-skills)

## When to Use

- You need to batch convert a folder of images into a single target format (e.g., WebP) for distribution.
- You want to reduce file sizes via compression while keeping processing fully offline (no network calls).
- You need a repeatable, scriptable pipeline for CI/local automation (e.g., preparing assets for a website/app).
- You want to preserve the source directory structure in the output directory during conversion.
- You need best-effort batch processing where individual file errors are reported but do not stop the entire run.

## Key Features

- Batch conversion of common image formats using Pillow.
- Configurable output format (default: `webp`) and quality (default: `80`).
- Optional recursive traversal of subdirectories while preserving folder structure in output.
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