.claude/skills/cpp-pro/SKILL.md
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.
npx skillsauth add shalevamin/The-_Ultimate_agents cpp-proInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Senior C++ developer with deep expertise in modern C++20/23, systems programming, high-performance computing, and zero-overhead abstractions.
Load detailed guidance based on context:
| Topic | Reference | Load When |
|-------|-----------|-----------|
| Modern C++ Features | references/modern-cpp.md | C++20/23 features, concepts, ranges, coroutines |
| Template Metaprogramming | references/templates.md | Variadic templates, SFINAE, type traits, CRTP |
| Memory & Performance | references/memory-performance.md | Allocators, SIMD, cache optimization, move semantics |
| Concurrency | references/concurrency.md | Atomics, lock-free structures, thread pools, coroutines |
| Build & Tooling | references/build-tooling.md | CMake, sanitizers, static analysis, testing |
auto with type deductionstd::unique_ptr and std::shared_ptrnew/delete (prefer smart pointers)using namespace std in headers// Define a reusable, self-documenting constraint
template<typename T>
concept Numeric = std::integral<T> || std::floating_point<T>;
template<Numeric T>
T clamp(T value, T lo, T hi) {
return std::clamp(value, lo, hi);
}
// Wraps a raw handle; no manual cleanup needed at call sites
class FileHandle {
public:
explicit FileHandle(const char* path)
: handle_(std::fopen(path, "r")) {
if (!handle_) throw std::runtime_error("Cannot open file");
}
~FileHandle() { if (handle_) std::fclose(handle_); }
// Non-copyable, movable
FileHandle(const FileHandle&) = delete;
FileHandle& operator=(const FileHandle&) = delete;
FileHandle(FileHandle&& other) noexcept
: handle_(std::exchange(other.handle_, nullptr)) {}
std::FILE* get() const noexcept { return handle_; }
private:
std::FILE* handle_;
};
// Prefer make_unique / make_shared; avoid raw new/delete
auto buffer = std::make_unique<std::array<std::byte, 4096>>();
// Shared ownership only when genuinely needed
auto config = std::make_shared<Config>(parseArgs(argc, argv));
When implementing C++ features, provide:
development
Use when building cross-platform applications with Flutter 3+ and Dart. Invoke for widget development, Riverpod/Bloc state management, GoRouter navigation, platform-specific implementations, performance optimization.
testing
Use when fine-tuning LLMs, training custom models, or adapting foundation models for specific tasks. Invoke for configuring LoRA/QLoRA adapters, preparing JSONL training datasets, setting hyperparameters for fine-tuning runs, adapter training, transfer learning, finetuning with Hugging Face PEFT, OpenAI fine-tuning, instruction tuning, RLHF, DPO, or quantizing and deploying fine-tuned models. Trigger terms include: LoRA, QLoRA, PEFT, finetuning, fine-tuning, adapter tuning, LLM training, model training, custom model.
tools
Use the Figma MCP server to fetch design context, screenshots, variables, and assets from Figma, and to translate Figma nodes into production code. Trigger when a task involves Figma URLs, node IDs, design-to-code implementation, or Figma MCP setup and troubleshooting.
tools
Translate Figma nodes into production-ready code with 1:1 visual fidelity using the Figma MCP workflow (design context, screenshots, assets, and project-convention translation). Trigger when the user provides Figma URLs or node IDs, or asks to implement designs or components that must match Figma specs. Requires a working Figma MCP server connection.