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mac-optimizerMac 优化器

Agent Skill

mac-optimizer 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。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

509

周安装

21

GitHub Stars

5

下载量

166
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:mac-optimizer(Mac 优化器)
来源仓库:https://github.com/skalinets/mac_optimizer
仓库路径:skills/mac-optimizer
安装命令:
npx skills add https://github.com/skalinets/mac_optimizer --skill mac-optimizer
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/skalinets/mac_optimizer --skill mac-optimizer

简介

用于 Mac 系统资源的自动优化与配置调整。

  • 支持内存、CPU 与磁盘空间的智能调度。
  • 适用于长期运行的服务器或个人工作站维护。
  • 建议先创建系统快照,以便回滚异常变更。适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。
  • mac-optimizer 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Mac Performance Optimizer

Analyzes the current state of a macOS system and provides actionable optimization recommendations.

When to Use

  • User asks to "check performance", "optimize my Mac", "why is my Mac slow"
  • User wants to audit running processes, memory, or CPU usage
  • User asks for system health check or resource analysis

How to Run

Run the analysis script (the path is relative to where this skill is installed):

bash "$(dirname "$(readlink -f "$0" 2>/dev/null || echo "$HOME/.claude/skills/mac-optimizer")")/mac-optimize.sh"

Or if the skill is installed via npx skills add:

bash "$HOME/.claude/skills/mac-optimizer/mac-optimize.sh"

How to Analyze the Output

After running the script, analyze the output and provide recommendations organized by impact level (HIGH / MEDIUM / LOW).

Key Metrics to Evaluate

  1. Memory Pressure — Check physical RAM vs used, swap usage, and compressor size.

- Swap used > 50% of RAM = heavy pressure - Free memory < 500MB = critical - Compressor > 50% of RAM = system is struggling

  1. Browser Bloat — Count browser processes and total RAM%.

- 50 Chrome/Brave processes = too many tabs - Running multiple Chromium browsers = redundant RAM use - Recommend tab suspender extensions or closing tabs

  1. Claude Code Sessions — Each session holds memory.

- 3 idle sessions = recommend closing unused ones

  1. Container Runtimes — Docker/OrbStack VMs consume significant RAM.

- If not actively used, recommend stopping

  1. Launch Daemons & Agents — Background services from unneeded apps.

- Flag daemons for apps not actively used (TeamViewer, Zoom, unused updaters) - Flag duplicate functionality (e.g., two NTFS drivers)

  1. Long-Running Processes — Processes with high accumulated CPU time.

- May indicate memory leaks or runaway processes - Recommend restarting if uptime is excessive

  1. Disk Space — Flag if < 20GB free.
  2. System Uptime — If > 7 days, recommend a reboot to reclaim swap and reset compressor.

Response Format

Present findings as:

  1. Summary table — key metrics with status indicators
  2. Top consumers — ranked list of what's using the most resources
  3. Recommendations — grouped by HIGH / MEDIUM / LOW impact
  4. Quick wins — copy-pasteable commands the user can run immediately

Example Quick Win Commands

# Quit an app not in use
osascript -e 'quit app "AppName"'

# Purge inactive memory (temporary relief)
sudo purge

# Enable low power mode on battery
sudo pmset -b lowpowermode 1

# Disable a launch daemon (modern macOS — do NOT use launchctl unload)
sudo launchctl bootout system /Library/LaunchDaemons/com.example.plist
# Prevent it from loading on next boot
sudo launchctl disable system/com.example.service

# List and kill heavy processes
kill -TERM <PID>

Important: launchctl unload is deprecated and fails on modern macOS. Always use launchctl bootout / launchctl disable instead. These commands require sudo — tell the user to run them in their terminal directly.

Always warn the user before suggesting kill — prefer osascript -e 'quit app' for GUI apps.

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

能力 4

展示第三方安全扫描或审计结果

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

35.64%
按下载量换算59

Claude

29.28%
按下载量换算49

Cursor

19.32%
按下载量换算32

Gemini CLI

10.13%
按下载量换算17

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

权限和风险

操作浏览器

该 Skill 可能涉及浏览器控制能力,使用时可能读取或操作网页内容,需要在受控环境中确认权限边界。

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。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。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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