cpp-pro

Write, optimize, and debug C++20/23 code with CMake integration.

16|Updated Apr 19, 2026
One-click install
npx skills add https://github.com/Marwan78888/Neuron-Cli --skill cpp-pro-marwan78888
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: cpp-pro
Source: https://github.com/Marwan78888/Neuron-Cli/tree/main/scratch/claude-skills-main/skills/cpp-pro
Command: npx skills add https://github.com/Marwan78888/Neuron-Cli --skill cpp-pro-marwan78888

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Writes, optimizes, and debugs C++ applications using modern C++20/23 features, template metaprogramming, and high-performance systems techniques. Use when building or refactoring C++ code requiring concepts, ranges, coroutines, SIMD optimization, or careful memory management — or when addressing performance bottlenecks, concurrency issues, and build system configuration with CMake.

Core Features & Use Cases

  • Modern C++20/23 features adoption and robust API design.
  • Template metaprogramming, concepts, and ranges for safe, composable code.
  • Performance-oriented patterns (memory management, SIMD, concurrency) and build-system integration with CMake.

Quick Start

Provide a concise C++ snippet that demonstrates a small pipeline using concepts and ranges to transform a vector of integers.

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 transform a vector of integers?

C++20 concepts and ranges let you build composable, type-safe pipelines to transform a vector of integers by constraining template parameters and chaining range adaptors for clean, expressive data processing.

What is the best way to apply RAII and safe memory management in modern C++?

RAII in modern C++ encapsulates resource allocation and deallocation within object lifetimes, ensuring safe memory management by automatically releasing resources when objects go out of scope, preventing leaks in performance-critical systems.

Can I use template metaprogramming to optimize performance-critical C++ systems?

Template metaprogramming optimizes performance-critical C++ systems by shifting computations to compile-time through generic programming and concepts, generating highly specialized, zero-overhead code for concurrent routines and large builds.

How do I integrate CMake for large C++ builds requiring modern features?

CMake integrates with large C++ builds by configuring compilation standards for C++20/23 features, managing dependencies, and structuring build targets to ensure consistent, maintainable build-system configuration across performance-critical projects.

Why does my C++ code face performance bottlenecks and concurrency issues?

C++ performance bottlenecks and concurrency issues often stem from inefficient memory management, suboptimal SIMD utilization, or improper synchronization, requiring performance-oriented patterns and careful refactoring to resolve.