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Agent Skill · 前端设计

optimizing-tauri-binary-size(optimizing Tauri binary size 前端)

用于辅助前端页面、组件、样式和交互逻辑的开发与维护。它适合让 Agent 生成或审查 React、Next.js、Vue、Tailwind、CSS 等相关代码,整理组件结构,或定位布局和性能问题。使用时需要结合项目现有设计系统、路由和构建方式,避免只生成孤立片段;涉及页面改动时,应配合本地预览和构建检查确认视觉效果。

optimizing-tauri-binary-size 是前端设计类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为操作浏览器;许可证为 MIT,第三方扫描已通过,按安装量在前端设计类的 10,216 个 Skill 里排第 3,191。

总安装 1,505周安装 64GitHub Stars 18下载 527核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT

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:optimizing-tauri-binary-size(optimizing Tauri binary size 前端)
来源仓库:https://github.com/dchuk/claude-code-tauri-skills
仓库路径:skills/optimizing-tauri-binary-size
安装命令:
npx skills add https://github.com/dchuk/claude-code-tauri-skills --skill optimizing-tauri-binary-size
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/dchuk/claude-code-tauri-skills --skill optimizing-tauri-binary-size

这个 Skill 是做什么的

前端设计类 Skill 关注页面结构、视觉规范和组件写法,输出通常是可运行的界面代码。

减少 Tauri 桌面应用二进制文件体积,加快分发速度。自动剔除未使用的 Rust 依赖、压缩前端资源并启用 LTO 编译。支持 WebAssembly 模块裁剪和图标字体子集化处理。构建前建议清理旧产物并检查第三方库许可条款合规性。

optimizing-tauri-binary-size 属于前端设计类 Skill,可作为该场景下的辅助能力补充。

来源仓库内路径:skills/optimizing-tauri-binary-size

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/dchuk/claude-code-tauri-skills --skill optimiz…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要操作浏览器,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

optimizing-tauri-binary-size 怎么安装?

在终端执行 npx skills add https://github.com/dchuk/claude-code-tauri-skills --skill optimizing-tauri-…。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

optimizing-tauri-binary-size 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

optimizing-tauri-binary-size 需要什么权限?

权限级别是操作浏览器。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。

optimizing-tauri-binary-size 是免费的吗?

来源标注的许可证是 MIT。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

optimizing-tauri-binary-size 用的人多吗?

公开数据是累计安装 1,505 次,近一周安装 64 次,下载 527 次,GitHub 18 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

optimizing-tauri-binary-size 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 3 个目录同时收录,说明这个 Skill 流传比较广。
  • 许可证明确为 MIT,商用和分发边界好判断。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理前端设计类任务、又不想每次都手写提示词的人。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 需要厂商级技术支持和 SLA 的生产系统。

前端设计类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
frontend-design

前端设计 · Codex、Claude

8,823,360126,072只读MIT通过
vercel-composition-patterns

Vercel 组合模式 · Codex、Claude

3,858,81625,893需要联网MIT通过
vercel-react-native-skills

Vercel React native skills 前端 · Codex、Claude

2,468,66425,878只读MIT通过
adapt

adapt 搜索 · Codex、Claude

2,027,04023,125操作浏览器未明确通过
bolder

bolder 分析 · Codex、Claude

2,004,28823,130只读未明确通过
optimizing-tauri-binary-size

optimizing Tauri binary size 前端 · 本页

1,50518操作浏览器MIT通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Tauri Binary Size Optimization

This skill provides guidance on optimizing Tauri application binary sizes for production releases.

Why Tauri Produces Small Binaries

Tauri is designed from the ground up to produce minimal binaries:

  1. Native Webview: Uses the operating system's native webview instead of bundling Chromium (unlike Electron)
  2. Rust Backend: Compiles to efficient native code with no runtime overhead
  3. Tree Shaking: Only includes code that is actually used
  4. No V8 Engine: Leverages existing system components rather than bundling a JavaScript engine

Size Comparison

FrameworkMinimum Binary Size
Tauri~3-6 MB
Electron~120-180 MB
NW.js~80-100 MB

The dramatic size difference comes from Tauri's architectural decision to use native system webviews rather than bundling a full browser engine.

Cargo.toml Optimization Settings

Configure release profile settings in src-tauri/Cargo.toml to minimize binary size.

Recommended Stable Toolchain Configuration

[profile.release]
codegen-units = 1    # Compile crates one at a time for better LLVM optimization
lto = true           # Enable link-time optimization across all crates
opt-level = "s"      # Optimize for binary size (alternative: "z" for even smaller)
panic = "abort"      # Remove panic unwinding code
strip = true         # Strip debug symbols from final binary

Configuration Options Explained

OptionValuesDescription
codegen-units1Reduces parallelism but allows LLVM to perform better whole-program optimization
ltotrue, "thin", "fat"Link-time optimization; true or "fat" produces smallest binaries
opt-level"s", "z", "3""s" balances size/speed, "z" prioritizes size, "3" prioritizes speed
panic"abort"Removes panic handler code, reducing binary size
striptrue, "symbols", "debuginfo"Removes symbols and debug information from binary

Nightly Toolchain Options

For projects using the nightly Rust toolchain, additional optimizations are available:

[profile.release]
codegen-units = 1
lto = true
opt-level = "s"
panic = "abort"
strip = true
trim-paths = "all"    # Remove file path information from binary

[profile.release.build-override]
opt-level = "s"       # Also optimize build scripts

You can also set rustflags for additional control:

[profile.release]
rustflags = ["-Cdebuginfo=0", "-Zthreads=8"]

Tauri Build Configuration

Remove Unused Commands (Tauri 2.4+)

Tauri 2.4 introduced the ability to automatically remove code for commands not permitted in your Access Control List (ACL). Add this to tauri.conf.json:

{
  "build": {
    "removeUnusedCommands": true
  }
}

This feature:

  • Analyzes your ACL configuration
  • Removes Tauri command handlers that are not allowed
  • Reduces binary size without changing functionality
  • Works automatically during release builds

Minimal Feature Set

Only enable Tauri features you actually need in src-tauri/Cargo.toml:

[dependencies]
tauri = { version = "2", features = ["macos-private-api"] }
# Avoid enabling unnecessary features like:
# - "devtools" in production
# - "protocol-asset" if not serving local assets
# - "tray-icon" if not using system tray

Frontend Optimization

While this skill focuses on Rust/Tauri optimization, frontend bundle size also affects the final application:

  1. Use a bundler: Vite, webpack, or similar with tree shaking
  2. Code splitting: Load features on demand
  3. Minimize dependencies: Audit and remove unused npm packages
  4. Compress assets: Optimize images and other static assets

Build Commands

Standard Release Build

cd src-tauri
cargo tauri build --release

Using Nightly Toolchain

cd src-tauri
cargo +nightly tauri build --release

Check Binary Size

After building, check your binary size:

# macOS
ls -lh src-tauri/target/release/bundle/macos/*.app/Contents/MacOS/*

# Linux
ls -lh src-tauri/target/release/bundle/appimage/*.AppImage

# Windows
dir src-tauri\target\release\bundle\msi\*.msi

Complete Example Configuration

Here is a complete src-tauri/Cargo.toml optimized for minimal binary size:

[package]
name = "my-tauri-app"
version = "0.1.0"
edition = "2021"

[dependencies]
tauri = { version = "2", features = [] }
serde = { version = "1", features = ["derive"] }
serde_json = "1"

[build-dependencies]
tauri-build = { version = "2", features = [] }

[profile.release]
codegen-units = 1
lto = true
opt-level = "s"
panic = "abort"
strip = true

[profile.release.package."*"]
opt-level = "s"

And corresponding tauri.conf.json:

{
  "productName": "my-tauri-app",
  "version": "0.1.0",
  "identifier": "com.example.my-tauri-app",
  "build": {
    "removeUnusedCommands": true,
    "beforeBuildCommand": "npm run build",
    "frontendDist": "../dist"
  },
  "bundle": {
    "active": true,
    "targets": "all",
    "icon": ["icons/icon.png"]
  }
}

Optimization Trade-offs

SettingSize ImpactBuild TimeRuntime Performance
codegen-units = 1SmallerSlowerBetter
lto = trueSmallerMuch slowerBetter
opt-level = "s"SmallerSimilarSlightly slower
opt-level = "z"SmallestSimilarSlower
panic = "abort"SmallerFasterNo unwinding
strip = trueSmallerSimilarNo impact

Troubleshooting

Binary Still Large

  1. Check for debug builds: Ensure you are using --release flag
  2. Audit dependencies: Run cargo tree to see dependency graph
  3. Check for duplicate dependencies: Different versions of same crate
  4. Verify strip is working: Use file command to check for debug symbols

Build Failures with LTO

If lto = true causes build failures:

  • Try lto = "thin" as a fallback
  • Ensure sufficient memory (LTO is memory-intensive)
  • Update Rust toolchain to latest version

Nightly Features Not Working

Ensure nightly is installed and active:

rustup install nightly
rustup default nightly
# Or use +nightly flag with cargo commands

References

平台分布

Claude Code

31.49%
按下载量换算166

Antigravity

25.78%
按下载量换算136

windsurf

17.47%
按下载量换算92

Gemini CLI

11.86%
按下载量换算63

OpenCode

7.57%
按下载量换算40

Codex

3.56%
按下载量换算19

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

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。

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