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.