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compressocompresso 命令行

Agent Skill

compresso 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

282

周安装

12

GitHub Stars

11

下载量

99
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:compresso(compresso 命令行)
来源仓库:https://github.com/akillness/oh-my-skills
仓库路径:skills/compresso
安装命令:
npx skills add https://github.com/akillness/oh-my-skills --skill compresso
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/akillness/oh-my-skills --skill compresso

简介

compresso 是一个离线批量视频与图像压缩工具,基于 FFmpeg、pngquant 等本地工具实现无损压缩。

  • 适用于 Codex、Claude、Cursor、Gemini CLI 中需要处理图像或视频压缩任务的场景。
  • 可通过 GitHub 仓库安装,使用 npx skills add 命令添加技能,具体功能以原始 README 为准。
  • 安装前请确认是否涉及本地文件读写、外部程序调用及跨平台兼容性要求。
  • compresso 属于前端设计类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

compresso — Offline Batch Video & Image Compression

Free, open-source, fully offline desktop compression powered by FFmpeg, pngquant, jpegoptim, and gifski.

CompressO is a cross-platform desktop app (Tauri + React/Vite) for compressing, trimming, converting, and enriching video and image files — entirely on your local machine with no external calls.

Installation

Plugin (Claude Code)

claude plugin marketplace add codeforreal1/compressO

Homebrew (macOS)

brew install --cask codeforreal1/tap/compresso

Installer (all platforms)

Download from github.com/codeforreal1/compressO/releases:

PlatformInstaller
Debian/UbuntuCompressO_amd64.deb
Universal LinuxCompressO_amd64.AppImage
Apple SiliconCompressO_aarch64.dmg
Intel MacCompressO_x64.dmg
Windows 64-bitCompressO_x64.msi

Skill (any platform)

npx skills add https://github.com/akillness/oh-my-skills --skill compresso

When to use

  • Compress a single video or batch of videos without uploading to a third-party service
  • Reduce image file sizes (PNG → pngquant, JPEG → jpegoptim, GIF → gifski)
  • Trim or split video content without a full video editor
  • Convert between video/image formats via the FFmpeg pipeline
  • Embed subtitles into video files locally
  • Manage file metadata (title, author, date) during compression

Do not use when

  • You need cloud-based transcoding or CDN delivery → route to a managed video service
  • You need programmatic FFmpeg scripting in CI/CD → call ffmpeg CLI directly
  • You need advanced NLE editing (multi-track, color grading) → route to a full video editor
  • You need streaming video packaging (HLS, DASH) → route to a dedicated packaging tool

Key features

FeatureDetail
Batch compressionProcess multiple video and image files simultaneously
Video trimmingTrim start/end or split video into segments
Format conversionConvert between common video and image formats
Metadata managementUpdate title, author, date metadata during compression
Subtitle embeddingEmbed SRT/ASS subtitles into video files
Advanced configFine-grained video codec, bitrate, and audio settings
100% offlineNo network calls; all processing is local
Cross-platformLinux, macOS, Windows via Tauri

Technology stack

LayerTech
Desktop shellTauri (Rust)
FrontendReact + Vite
Video compressionFFmpeg
PNG compressionpngquant
JPEG compressionjpegoptim
GIF compressiongifski

Build from source

Prerequisites: Rust toolchain + Node.js + pnpm

git clone https://github.com/codeforreal1/compressO.git
cd compressO
pnpm install

# Development
pnpm tauri:dev      # full Tauri + React dev mode
pnpm vite:dev       # frontend only

# Production build
pnpm tauri:build    # output: src-tauri/target/release/bundle/

Operating rules

  1. Always prefer a pre-built installer for end-user machines; build from source only when the user needs a custom Tauri/Rust configuration
  2. Confirm FFmpeg, pngquant, jpegoptim, and gifski are available on the system PATH before CLI-based compression workflows
  3. Use batch mode for ≥ 3 files to avoid per-file startup overhead
  4. Route subtitle embedding through CompressO's built-in flow rather than raw ffmpeg -vf subtitles=… for consistent output naming
  5. Check the releases page for the latest DMG/MSI/AppImage before building from source

Examples

# macOS install
brew install --cask codeforreal1/tap/compresso

# Linux install (AppImage)
chmod +x CompressO_amd64.AppImage && ./CompressO_amd64.AppImage

# Build from source (all platforms)
git clone https://github.com/codeforreal1/compressO.git
cd compressO && pnpm install && pnpm tauri:build

Source: codeforreal1/compressO — AGPL-3.0 License

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

34.36%
按下载量换算34

Claude

28.22%
按下载量换算28

Cursor

19.83%
按下载量换算20

Gemini CLI

9.1%
按下载量换算9

安全审计

暂无安全审计结果可展示。

权限和风险

执行命令

安装流程涉及命令执行,可能通过 npx skills add https://github.com/akillness/oh-my-skills --skill compresso 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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