cpp-pro

Write, optimize, and debug C++20/23 applications with CMake and sanitizers.

1|Updated May 16, 2026
One-click install
npx skills add https://github.com/enigmaicon-eng/AI-Enterprise-OS --skill cpp-pro-enigmaicon-eng
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: cpp-pro
Source: https://github.com/enigmaicon-eng/AI-Enterprise-OS/tree/main/examples/claude-skills/skills/cpp-pro
Command: npx skills add https://github.com/enigmaicon-eng/AI-Enterprise-OS --skill cpp-pro-enigmaicon-eng

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

It helps you build, optimize, and debug C++ applications faster by applying modern C++20/23 best practices, performance techniques, and strict correctness checks to eliminate common sources of bugs and inefficiency.

Core Features & Use Cases

  • Modern C++ C++20/23 implementation workflow: Guide architecture review, design with concepts, and implement zero-overhead abstractions.
  • Performance and correctness loop: Profile real workloads, apply targeted optimizations (SIMD, cache layout, move semantics), and re-benchmark until targets are met.
  • Defensive engineering for reliability: Run sanitizers/static analysis and fix all memory/UB issues before proceeding.
  • Use Case: You’re refactoring a high-throughput concurrent system and need concept-constrained APIs, safe ownership patterns, and sanitizer-clean performance improvements.

Quick Start

Ask the AI to use the cpp-pro Skill to review your CMake-based C++20/23 project for performance bottlenecks, then propose and implement a sanitizer-clean optimization plan.

Frequently Asked Questions about cpp-pro

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

FAQPage Schema
How do I optimize C++20 performance bottlenecks using SIMD and cache layout?

To optimize C++20 performance bottlenecks, profile real workloads to apply targeted SIMD and cache layout improvements. Benchmark-driven optimization ensures zero-overhead abstractions meet throughput targets before finalizing the code.

How do I enforce memory safety in C++23 concurrent systems?

Enforce memory safety in C++23 concurrent systems by applying RAII, smart-pointer ownership, and sanitizer verification. Defensive engineering fixes all memory and undefined behavior issues before proceeding with performance tuning.

What is the best way to use C++20 concepts and ranges for API design?

The best way to use C++20 concepts and ranges for API design is creating concept-constrained interfaces. This approach establishes zero-overhead abstractions and enforces disciplined correctness practices during architecture review.

Does CMake tooling support C++23 build configuration and static analysis?

CMake tooling supports C++23 build configuration by integrating static analysis verification. Review your CMake-based project to propose sanitizer-clean optimization plans that eliminate common inefficiencies and bugs.

When should I use template metaprogramming in performance-critical C++ applications?

Use template metaprogramming in performance-critical C++ applications when designing zero-overhead abstractions. Pair it with benchmarking-driven optimization and move semantics to ensure measurable throughput gains without sacrificing correctness.