zipic

Compress images locally on macOS via Zipic CLI with JSON output metrics.

152|29|Updated Mar 4, 2026
One-click install
npx skills add https://github.com/okooo5km/Skills4U --skill zipic
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: zipic
Source: https://github.com/okooo5km/Skills4U/tree/main/skills/zipic
Command: npx skills add https://github.com/okooo5km/Skills4U --skill zipic

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill enables local, on-device image compression for macOS by driving the Zipic app through its CLI and providing structured results.

Core Features & Use Cases

  • CLI-driven compression with per-file output metrics (saved_pct, output size)
  • Batch processing, format conversion, and resizing to fit workflows
  • Pro features awareness and fallback to URL scheme for older Zipic builds

Quick Start

Run zipic compress --json /path/to/image.png to compress a single file and surface per-file saved_pct.

Frequently Asked Questions about zipic

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

FAQPage Schema
How do I compress images locally on macOS using a CLI?

Local on-device image compression on macOS is handled by driving Zipic.app through its CLI, which supports batch processing, format conversion, resizing, and outputs structured JSON metrics for per-file savings.

Can I get per-file size and savings metrics for batch image compression?

Yes, batch image compression provides structured JSON outputs that include per-file metrics such as output size and saved percentage, allowing you to track exact savings for every processed file.

Does local image compression on macOS require a specific app version?

On-device image compression via the CLI requires Zipic version 1.9.5 or later, while older app builds fall back to a URL scheme to execute compression tasks.

What is the best way to automate image format conversion and resizing on macOS?

Automating image format conversion and resizing on macOS is best achieved through CLI-driven batch processing, which executes transformations locally and returns structured JSON outputs for seamless workflow integration.

Are there Pro features for advanced image optimization workflows?

Advanced image optimization workflows can utilize Pro features for format conversion and resizing, which are gated behind a license to handle complex on-device batch processing tasks.