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Image Compressor

Design & Media Updated 2026.08.30

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Please follow https://skillhub.cn/install/skillhub.md and install @user_e41a5bf9/wsj-image.

About this skill

Problem

Image folders often contain a mix of jpg, png, and webp files from different sources. Manually opening a compression tool, exporting each image, and compiling size results is slow and easy to botch. image-compressor turns this into a folder-level task: read images, compress at a fixed quality, overwrite or create copies, and report comparable sizes and compression ratios.

Workflow

  • Batch discovery: scans a target folder for jpg/png/webp images, so the processing set is explicit instead of manually curated.
  • Fixed compression policy: uses a system image compression tool at 70% quality, which is useful for producing a publishable size pass quickly.
  • Output control: can overwrite the original files or generate compressed copies, making before-and-after comparison easier.
  • Compression report: outputs original size, compressed size, and compression ratio, helping identify which files gain the most.

Boundaries

It fits bulk size reduction, such as asset packages, web resource folders, or pre-delivery image cleanup. It is not intended for per-image fine tuning, name-based or color-depth-specific rules, or workflows that require transparent channels, metadata, and EXIF data to remain strictly unchanged. The fixed 70% quality strategy may produce limited savings on already highly compressed images.

Use Cases

  • Before launch, clean a web asset folder and batch-compress mixed jpg, png, and webp files at 70% quality into copies.
  • Before shipping a media package, scan a target folder, compress images with a fixed quality policy, and report sizes and ratios.
  • Compare originals with compressed output, overwrite high-benefit images, and keep low-benefit copies for manual review.
  • While organizing campaign page resources, reduce the size of uncompressed images for upload and preview.

Best For

  • Frontend engineers delivering web or mini-program assets who need to reduce image size in bulk and verify compression results.
  • Design operations managers handling campaign asset packs who need consistent compression of jpg, png, and webp files plus a report.
  • Engineers preparing delivery cleanup who need to overwrite originals or create copies instead of processing images one by one.
  • Media editors reviewing compression gains who want to filter files by original size, compressed size, and compression ratio.