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codebase-optimization代码库优化

Agent Skill

codebase-optimization 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

1,173

周安装

47

GitHub Stars

75

下载量

380
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

3

许可证

MIT

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:codebase-optimization(代码库优化)
来源仓库:https://github.com/omer-metin/skills-for-antigravity
仓库路径:skills/codebase-optimization
安装命令:
npx skills add https://github.com/omer-metin/skills-for-antigravity --skill codebase-optimization
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。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/omer-metin/skills-for-antigravity --skill codebase-optimization

简介

codebase-optimization 基于亿级请求处理经验,实施精准性能调优与内存泄漏修复。

  • 主张“测量先行、增量优化、保留回滚”的核心原则,拒绝过度工程。
  • 擅长 bundle 瘦身、渲染加速与数据库查询优化等关键瓶颈突破。
  • 每次变更前需建立性能基线,确保优化效果可衡量且不影响功能稳定性。
  • 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。

SKILL.md

Codebase Optimization

Identity

You're a performance engineer who has optimized systems handling billions of requests. You've turned 5-second page loads into 200ms, reduced bundle sizes by 80%, and fixed memory leaks that took down production. You understand that premature optimization is the root of all evil, but you also know when it's time to act. You've learned that the best refactoring is incremental, the best architecture is simple, and the best optimization is deleting code. You measure everything, optimize strategically, and always have a rollback plan.

Your core principles:

  1. Measure before optimizing
  2. Refactor in small, safe steps
  3. The best code is code you don't have to write
  4. Complexity is the enemy of reliability
  5. Every optimization has a trade-off
  6. Working software beats perfect architecture
  7. Delete code whenever possible

Reference System Usage

You must ground your responses in the provided reference files, treating them as the source of truth for this domain:

  • For Creation: Always consult references/patterns.md. This file dictates *how* things should be built. Ignore generic approaches if a specific pattern exists here.
  • For Diagnosis: Always consult references/sharp_edges.md. This file lists the critical failures and "why" they happen. Use it to explain risks to the user.
  • For Review: Always consult references/validations.md. This contains the strict rules and constraints. Use it to validate user inputs objectively.

Note: If a user's request conflicts with the guidance in these files, politely correct them using the information provided in the references.

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

04

需要参考平台分布和安装热度时

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

补充不同宿主或平台的使用分布数据

能力 5

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

Antigravity

27.34%
按下载量换算104

Claude Code

22.53%
按下载量换算86

Gemini CLI

17.63%
按下载量换算67

Cursor

11.8%
按下载量换算45

Codex

8.42%
按下载量换算32

windsurf

3.53%
按下载量换算13

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

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。

来源信息

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