baoyu-compress-image

Overview of baoyu-compress-image skill

What baoyu-compress-image does

baoyu-compress-image is a small utility skill for Image Editing that compresses image files into webp by default, or png/jpeg when needed. Its main value is not fancy editing; it is reliable file-size reduction with automatic tool selection: sips on macOS, cwebp when available, ImageMagick if installed, and a sharp fallback.

Who should install baoyu-compress-image

This skill fits developers, content teams, and AI agent users who repeatedly need to optimize screenshots, product images, blog assets, or repository media without manually choosing a compression tool each time. It is especially useful if your environment varies across macOS, Linux, or CI and you want one promptable workflow instead of per-machine instructions.

Real job to be done

Most users are trying to do one of three things fast: reduce image size before publishing, convert assets to modern web formats, or batch-compress a folder without breaking a workflow. baoyu-compress-image is best when “make these images smaller with sane defaults” matters more than pixel-perfect retouching.

Key adoption facts and tradeoffs

The strongest differentiator is automatic compressor detection plus a scriptable CLI path in scripts/main.ts. The tradeoff: this is an optimization utility, not a full editor. If you need cropping, background removal, layered editing, or visual review loops, baoyu-compress-image should be one step in a larger pipeline, not the whole solution.

How to Use baoyu-compress-image skill

Install context and dependency check

The repository metadata shows bun or npx is required. The skill resolves a ${BUN_X} runtime as bun if installed, otherwise npx -y bun. Before relying on baoyu-compress-image install in automation, confirm at least one of these exists. Output quality and speed can also improve if your system already has cwebp or ImageMagick; otherwise the script can fall back to sharp.

Read these first:

• skills/baoyu-compress-image/SKILL.md
• skills/baoyu-compress-image/scripts/main.ts

Those two files tell you more than a quick repo skim: supported formats, fallback order, flags, and what the script actually does.

Inputs, formats, and likely command behavior

baoyu-compress-image usage revolves around a CLI that accepts:

• an input file or directory
• optional output
• format: webp, png, or jpeg
• quality
• keep to retain originals
• recursive for folders
• json for machine-readable results

Supported source extensions in the script include .png, .jpg, .jpeg, .webp, .gif, and .tiff. Default decision logic matters:

• If target is webp, it prefers cwebp, then ImageMagick, then sharp.
• If target is not webp, macOS prefers sips; other systems may use ImageMagick or sharp.

That makes baoyu-compress-image for Image Editing most practical for format conversion and size reduction, not for preserving every source nuance.

Turn a rough goal into a strong prompt

Weak prompt:

• “Compress this image.”

Better prompt:

• “Use baoyu-compress-image to convert assets/hero.png to webp at quality 80, keep the original, and report old size, new size, and compression ratio.”

Batch prompt:

• “Run baoyu-compress-image recursively on docs/images, convert everything possible to webp, keep originals, and return JSON results so I can review outliers above 500 KB.”

Decision-focused prompt:

• “Use baoyu-compress-image on these screenshots. Optimize for web delivery, not archival quality. If a conversion increases size or fails, keep the original and explain which compressor was used.”

These work better because they specify target format, quality expectations, whether originals should remain, scope, and reporting needs.

Practical workflow tips that change results

For a smooth baoyu-compress-image guide, use this workflow:

1. Test one representative file first.
2. Choose webp unless you have a compatibility reason to keep png or jpeg.
3. Set an explicit quality target for lossy outputs instead of assuming defaults match your use case.
4. Use --json style reporting when integrating into scripts, CI, or content pipelines.
5. For folders, run recursively only after verifying naming/output behavior on a small subset.

Also check for EXTEND.md preferences in project or user config paths if your team has conventions. That matters when multiple contributors expect consistent output behavior.

baoyu-compress-image skill FAQ

Is baoyu-compress-image better than a generic “optimize image” prompt?

Yes, for repeatable execution. A generic prompt may suggest tools but still leaves tool choice, flags, and environment differences unresolved. baoyu-compress-image skill encodes a concrete compressor selection path and exposes operational options like format, recursion, keeping originals, and JSON output.

Is baoyu-compress-image beginner-friendly?

Mostly yes, if your need is simple image compression. The main blocker is environment readiness: you may need bun or npx, and results can differ depending on whether cwebp, sips, or ImageMagick is available. Beginners should start with one file and inspect the reported compressor and size reduction before batch runs.

When is baoyu-compress-image a bad fit?

Skip it if you need visual editing, manual art direction, or deterministic identical output across machines regardless of installed binaries. Because the skill auto-selects available tools, two environments may use different compressors. For strict reproducibility, pin the toolchain outside the skill.

Can I use baoyu-compress-image in larger workflows?

Yes. The script supports structured output and folder processing, which makes baoyu-compress-image usage suitable for docs sites, build steps, CMS upload prep, and repo cleanup tasks. It is a good pre-publish optimization step before committing assets or deploying static content.

How to Improve baoyu-compress-image skill

Give baoyu-compress-image better instructions

The biggest quality gain comes from being explicit about:

• target format
• acceptable quality loss
• whether originals must be preserved
• single file vs folder
• reporting needs

Example:

• “Use baoyu-compress-image on blog/images/, output webp, quality 82, recurse into subfolders, keep originals, and emit JSON so I can compare ratios.”

That is far better than “optimize my images,” because it removes guesswork that affects both output and safety.

Avoid common failure modes

Common adoption issues are predictable:

• missing bun/npx
• expecting editing features instead of compression
• running recursive compression before validating one sample
• assuming all formats should become webp without checking downstream compatibility
• overlooking environment-specific tool differences

If output size unexpectedly grows or quality is poor, inspect which compressor ran first. The fallback order explains many “why did this machine behave differently?” cases.

Improve output quality through iteration

Start with a mid-range quality setting and compare file size versus visible artifacts on the most sensitive images, such as screenshots with text or UI gradients. If text edges blur, raise quality or keep png for that subset. If photo-heavy images remain too large, lower quality slightly and retest. One controlled pass beats broad batch compression with unreviewed defaults.

Make baoyu-compress-image more reliable in team use

For team adoption, document the preferred runtime and compressor stack, and store any skill-specific preferences in the supported EXTEND.md locations. If consistency matters, standardize on the same available binaries across machines or CI. That turns baoyu-compress-image install from a personal convenience into a dependable shared workflow.