cpp-pro

Apply modern C++20/23 standards to optimize performance and memory safety.

9|2|Updated Jan 29, 2026
One-click install
npx skills add https://github.com/stephanj/claude-code-collections --skill cpp-pro-stephanj
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: cpp-pro
Source: https://github.com/stephanj/claude-code-collections/tree/main/skills/cpp-pro
Command: npx skills add https://github.com/stephanj/claude-code-collections --skill cpp-pro-stephanj

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This skill addresses the complexity of modern C++ development by providing a structured, high-performance framework for implementing memory-safe, zero-overhead, and concurrent systems.

Core Features & Use Cases

  • Modern Language Mastery: Provides deep guidance on C++20/23 features like concepts, ranges, and coroutines to ensure clean, type-safe code.
  • Performance Engineering: Offers templates for SIMD optimization, custom allocators, and cache-friendly data structures.
  • Systems Reliability: Includes robust patterns for RAII, smart pointer usage, and lock-free concurrency to prevent common memory and threading bugs.

Quick Start

Use the cpp-pro skill to refactor the current memory management logic to use smart pointers and modern RAII patterns.

Frequently Asked Questions about cpp-pro

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I refactor C++ memory management to use smart pointers and RAII patterns?

Refactoring C++ memory management to use RAII patterns involves replacing raw pointers with smart pointers to bind resource lifetimes to object scope. This skill provides structured templates to automate this transition, preventing common memory leaks and ensuring strict memory safety in systems programming.

What is the best way to apply C++20 concepts and ranges for type-safe systems programming?

The best way to apply C++20 concepts and ranges for type-safe systems programming is by leveraging zero-overhead abstractions to enforce compile-time type constraints. This skill guides the implementation of these modern standards to ensure clean code without introducing runtime performance penalties.

Can I use template metaprogramming for SIMD optimization and custom allocators in high-performance computing?

Yes, you can use template metaprogramming for SIMD optimization and custom allocators in high-performance computing. This skill provides advanced templates to engineer cache-friendly data structures and optimize concurrent algorithms while maintaining strict zero-overhead abstraction guarantees.

Does this approach support lock-free concurrency and rigorous static analysis integration?

Yes, this approach supports lock-free concurrency and rigorous static analysis integration. It includes robust systems reliability patterns designed to prevent threading bugs and satisfy the strict requirements of memory-critical architecture verification.

Why choose modern C++20/23 zero-overhead abstractions over other systems programming approaches?

You should choose modern C++20/23 zero-overhead abstractions over other systems programming approaches when your application demands strict memory management and maximum runtime performance. This framework targets high-performance computing tasks by applying concurrent algorithm design without sacrificing low-level system control.

How do I implement coroutines for concurrent algorithm design in modern C++?

Implementing coroutines for concurrent algorithm design in modern C++ requires utilizing C++20/23 standards to structure asynchronous operations cleanly. This skill provides the necessary guidance to integrate coroutines effectively within memory-critical architectures and lock-free concurrency environments.