cpp-pro

Guide modern C++20/23 development with CMake and performance optimization techniques.

2|Updated Jun 29, 2026
One-click install
npx skills add https://github.com/Axel-DaMage/opencode-config --skill cpp-pro-axel-damage
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: cpp-pro
Source: https://github.com/Axel-DaMage/opencode-config/tree/main/skills/cpp-pro
Command: npx skills add https://github.com/Axel-DaMage/opencode-config --skill cpp-pro-axel-damage

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill addresses the challenges of modern C++ development, offering tools and guidelines for writing efficient, maintainable, and high-performance code.

Core Features & Use Cases

  • Modern C++20/23 Features: Utilize the latest language features like concepts, ranges, coroutines, and SIMD for modern C++ development.
  • Optimization: Apply advanced optimization techniques for performance bottlenecks, concurrency issues, and build system configuration.
  • Use Case: Ideal for C++ developers looking to enhance their skill set with modern practices, or for those working on complex C++ applications requiring performance optimization.

Quick Start

Load the C++ Pro Skill to gain insights on modern C++ development practices and optimization techniques.

Frequently Asked Questions about cpp-pro

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

FAQPage Schema
How do I use C++20 concepts and ranges to write cleaner template code?

C++20 concepts constrain template parameters with readable compile-time predicates, while ranges provide composable lazy iteration over sequences. Together they replace complex SFINAE patterns, enabling expressive, type-safe declarations and zero-overhead abstractions in modern C++ development.

What is the best way to apply SIMD for C++ performance optimization?

SIMD optimizes C++ performance by executing identical operations on multiple data points simultaneously. It targets performance bottlenecks in high-performance computing by leveraging processor vector units, requiring careful memory alignment and manual data layout configuration to achieve zero-overhead abstractions.

How do I configure a CMake build system for modern C++23 projects?

Configuring CMake for modern C++23 involves setting the appropriate compiler standard flags and utilizing modern CMake target-based properties. It automates build system configuration, ensuring consistent compilation of features like coroutines and concepts across complex C++ applications.

Can I use C++ coroutines for high-performance concurrency management?

C++ coroutines manage high-performance concurrency by enabling suspendable functions for asynchronous operations. They are ideal for systems programming requiring scalable I/O, allowing developers to write non-blocking sequential code without the overhead of traditional OS threads.

Do I need to know advanced memory management to use zero-overhead abstractions?

Yes, zero-overhead abstractions require advanced memory management knowledge to ensure custom allocations and object lifetimes do not introduce hidden runtime costs. Mastering memory management is essential for systems programming and resolving performance bottlenecks in modern C++.

Why does my C++ build system fail to recognize C++20 features?

C++ build systems fail to recognize C++20 features when compiler standard flags are not explicitly set or the compiler lacks support. Configuring CMake with the correct target properties ensures concepts and ranges are properly compiled for modern C++ development.