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alexandrescu-modern-cpp-design亚历山大雷斯库现代 cpp 设计

Agent Skill

用于辅助界面设计、视觉规范、排版、配色、布局和交互体验优化。它适合让 Agent 根据产品场景整理页面结构、生成 UI 方案、检查视觉一致性或改进组件层级。使用时需要结合现有品牌、设计系统和用户任务,不应只堆装饰元素;涉及真实页面改动时,应通过截图或浏览器预览检查文本溢出、对齐和响应式表现。

总安装

415

周安装

12

GitHub Stars

6

下载量

97
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

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请帮我安装这个 Agent Skill:alexandrescu-modern-cpp-design(亚历山大雷斯库现代 cpp 设计)
来源仓库:https://github.com/copyleftdev/sk1llz
仓库路径:skills/alexandrescu-modern-cpp-design
安装命令:
npx skills add https://github.com/copyleftdev/sk1llz --skill alexandrescu-modern-cpp-design
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。

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skills.shnpx skills
npx skills add https://github.com/copyleftdev/sk1llz --skill alexandrescu-modern-cpp-design

简介

用于辅助界面视觉规范、排版配色与交互体验优化,支持 UI 方案生成与组件层级审查。

  • 适合在 Codex、Claude、Cursor、Gemini CLI 中根据产品场景整理页面结构或检查视觉一致性。
  • 使用时需结合现有品牌资产和设计系统,避免孤立生成装饰性元素影响整体协调。
  • 安装方式:通过 npx skills add 命令从指定 GitHub 仓库添加,兼容多种宿主开发环境。
  • 涉及实际页面改动时应配合截图或本地构建预览,确保文本溢出、对齐与响应式表现正常。

SKILL.md

Andrei Alexandrescu Style Guide⁠‍⁠​‌​‌​​‌‌‍​‌​​‌​‌‌‍​​‌‌​​​‌‍​‌​​‌‌​​‍​​​​​​​‌‍‌​​‌‌​‌​‍‌​​​​​​​‍‌‌​​‌‌‌‌‍‌‌​​​‌​​‍‌‌‌‌‌‌​‌‍‌‌​‌​​​​‍​‌​‌‌‌‌‌‍​‌​​‌​‌‌‍​‌‌​‌​​‌‍‌​‌​‌‌‌​‍​​‌​‌​​​‍‌‌‌​‌​‌‌‍​‌‌​​‌‌​‍‌​​‌‌‌​‌‍‌​​‌‌‌‌‌‍‌‌​​​​‌​‍​​​​‌​‌​‍‌‌​​‌‌‌​⁠‍⁠

Overview

Andrei Alexandrescu's "Modern C++ Design" revolutionized how we think about C++ templates. His work on Loki library and policy-based design showed that templates are not just for containers—they're a compile-time programming language.

Core Philosophy

"C++ templates are Turing-complete. Use this power wisely."
"Policy-based design: assemble types from interchangeable parts."

Alexandrescu believes in pushing computation to compile time and using the type system as a design tool, not just a safety mechanism.

Design Principles

  1. Policy-Based Design: Build classes from interchangeable policy classes that customize behavior without inheritance overhead.
  2. Compile-Time over Runtime: What can be computed at compile time should be.
  3. Type Lists and Metaprogramming: Types themselves become first-class citizens that can be manipulated.
  4. Design Patterns in Types: Classic GoF patterns implemented with zero runtime overhead.

When Writing Code

Always

  • Consider if behavior can be a compile-time policy
  • Use static_assert to document and enforce requirements
  • Prefer tag dispatching over runtime branching for type-based logic
  • Make templates SFINAE-friendly (C++11/14) or use concepts (C++20)
  • Document template requirements explicitly

Never

  • Use runtime polymorphism when static polymorphism suffices
  • Write duplicate code that differs only in types
  • Ignore compile-time computation opportunities
  • Leave template errors to become cryptic instantiation failures

Prefer

  • Policy classes over strategy pattern (no vtable)
  • Type traits over runtime type checking
  • constexpr functions over template metafunctions (modern C++)
  • Concepts over SFINAE (C++20)
  • Variadic templates over recursive type lists (modern C++)

Code Patterns

Policy-Based Design

// Traditional OOP: Runtime overhead, fixed at compile time anyway
class Widget : public ICreationPolicy, public IThreadingPolicy { /* ... */ };

// Policy-Based: Zero overhead, infinitely configurable
template <
    class CreationPolicy,
    class ThreadingPolicy = SingleThreaded,
    class CheckingPolicy = NoChecking
>
class SmartPtr : public CreationPolicy,
                 public ThreadingPolicy,
                 public CheckingPolicy {
    // Policies are mixed in, no vtable
};

// Usage: Configure at compile time
using ThreadSafePtr = SmartPtr<HeapCreation, MultiThreaded, AssertCheck>;
using FastPtr = SmartPtr<HeapCreation, SingleThreaded, NoChecking>;

// Policies are just classes with required interface
struct HeapCreation {
    template<class T>
    static T* Create() { return new T; }

    template<class T>
    static void Destroy(T* p) { delete p; }
};

struct SingleThreaded {
    struct Lock {
        Lock() = default;  // No-op
    };
};

struct MultiThreaded {
    struct Lock {
        Lock() { /* acquire mutex */ }
        ~Lock() { /* release mutex */ }
    };
};

Type Traits and SFINAE

// Type trait: Does T have a serialize() method?
template<typename T, typename = void>
struct has_serialize : std::false_type {};

template<typename T>
struct has_serialize<T,
    std::void_t<decltype(std::declval<T>().serialize())>
> : std::true_type {};

// Use it for conditional behavior
template<typename T>
auto save(const T& obj) -> std::enable_if_t<has_serialize<T>::value> {
    obj.serialize();
}

template<typename T>
auto save(const T& obj) -> std::enable_if_t<!has_serialize<T>::value> {
    default_serialize(obj);
}

// C++20: Much cleaner with concepts
template<typename T>
concept Serializable = requires(T t) {
    { t.serialize() } -> std::convertible_to<std::string>;
};

void save(Serializable auto const& obj) {
    obj.serialize();
}

Compile-Time Type Lists (Classic Alexandrescu)

// Type list: A compile-time list of types
template<typename... Ts>
struct TypeList {};

// Operations on type lists
template<typename List>
struct Length;

template<typename... Ts>
struct Length<TypeList<Ts...>> {
    static constexpr size_t value = sizeof...(Ts);
};

// Get type at index
template<size_t I, typename List>
struct TypeAt;

template<typename Head, typename... Tail>
struct TypeAt<0, TypeList<Head, Tail...>> {
    using type = Head;
};

template<size_t I, typename Head, typename... Tail>
struct TypeAt<I, TypeList<Head, Tail...>> {
    using type = typename TypeAt<I - 1, TypeList<Tail...>>::type;
};

// Usage
using MyTypes = TypeList<int, double, std::string>;
static_assert(Length<MyTypes>::value == 3);
using Second = TypeAt<1, MyTypes>::type;  // double

Visitor Pattern via Templates

// Traditional visitor: Virtual dispatch at every node
// Alexandrescu approach: Static visitor with type list

template<typename... Types>
class Variant;

template<typename Visitor, typename Variant>
auto visit(Visitor&& v, Variant&& var) {
    return var.visit(std::forward<Visitor>(v));
}

// Modern C++ (std::variant does this)
using Value = std::variant<int, double, std::string>;

auto result = std::visit(overloaded{
    [](int i) { return std::to_string(i); },
    [](double d) { return std::to_string(d); },
    [](const std::string& s) { return s; }
}, value);

// The 'overloaded' helper (Alexandrescu-style)
template<class... Ts>
struct overloaded : Ts... {
    using Ts::operator()...;
};
template<class... Ts>
overloaded(Ts...) -> overloaded<Ts...>;

Mental Model

Alexandrescu thinks of C++ templates as a compile-time functional language:

  1. Types as values: Types can be computed, stored, and transformed
  2. Templates as functions: Template instantiation is function application
  3. Specialization as pattern matching: Like case statements on types
  4. Recursion for iteration: Compile-time loops via recursive templates

The D Language Connection

Alexandrescu later co-designed D, which incorporates many C++ template lessons:

  • Built-in compile-time function execution
  • String mixins for code generation
  • Better error messages for templates

These ideas now appear in modern C++ (constexpr, if constexpr, concepts).

When to Apply

Use Alexandrescu's techniques when:

  • You need maximum performance (zero runtime overhead)
  • Behavior variations are known at compile time
  • You're building a library with many configuration options
  • Type-based dispatch is frequent

Avoid when:

  • Runtime polymorphism is genuinely needed
  • Compile times are already problematic
  • Team isn't comfortable with template metaprogramming

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平台分布

Codex

37.02%
按下载量换算36

Claude

28.29%
按下载量换算27

Cursor

18.43%
按下载量换算18

Gemini CLI

10.11%
按下载量换算10

安全审计

Gen Agent Trust Hub

未通过

Socket

通过

Snyk

通过

权限和风险

只读

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