This cheatsheet provides a curated collection of C and C++ code snippets covering modern language standards, system programming, and development tools. From basic syntax to advanced features like coroutines, templates, and memory management, each example is designed to be clear, practical, and ready to use. All code is tested and compiles cleanly, so you can focus on learning and adapting rather than debugging reference material.

cppcheatsheet is available as a Claude Code plugin. Once installed, Claude automatically uses the cheat sheets to answer C/C++ questions — just ask naturally and the skill triggers based on context.

As a Claude Code plugin (recommended):

# Step 1: Add the marketplace
claude plugin marketplace add crazyguitar/cppcheatsheet

# Step 2: Install the plugin
claude plugin install cppcheatsheet@cppcheatsheet

Local testing (single session only):

claude --plugin-dir /path/to/cppcheatsheet

Manual installation (requires cloning the repo):

git clone https://github.com/crazyguitar/cppcheatsheet.git
mkdir -p ~/.claude/skills
cp -r cppcheatsheet/skills/cpp ~/.claude/skills/cpp

Core C language features from C11 to C23, including memory management, preprocessor macros, GNU extensions, and build systems.

• C Basics
• Memory
• Preprocessor & GNU Extensions
• Makefile
• X86 Assembly

Modern C++ features from C++11 to C++23. Covers resource management with RAII and smart pointers, generic programming with templates and concepts, functional patterns with lambdas, compile-time computation with constexpr, and asynchronous programming with coroutines.

• C++ Basics
• Resource Management
• String
• Container
• Iterator
• Template
• Casting
• Constexpr
• Lambda
• Concepts
• Requires
• Time
• Smart Pointers
• Return Value Optimization
• Algorithm
• Coroutine
• Modules
• CMake

POSIX system programming covering process management, file I/O, signals, network sockets, threading, and inter-process communication.

• Process
• File
• Signal
• Socket
• Thread
• IPC

GPU programming with NVIDIA CUDA. Covers kernel basics, memory hierarchy, cooperative groups, memory visibility, asynchronous pipelines, and multi-GPU communication.

• CUDA Basics
• CUDA C++ (libcu++)
• Thrust
• Cooperative Groups
• Memory Visibility
• CUDA Graph
• Quantization
• Pipelines
• GPU-GPU Communication
• NCCL
• Hardware Topology

Command-line tools and shell scripting for system administration, networking, and hardware inspection.

• Bash
• Operating System
• Network
• Hardware
• GPU
• Systemd

Tools for debugging, memory analysis, and performance profiling of C/C++ and CUDA applications.

• GDB
• Valgrind
• Sanitizers
• Tracing
• Perf
• Nsight Systems
• Binary Tools

Rust programming guide for C++ developers. Maps C++ concepts to Rust equivalents with side-by-side code comparisons covering ownership, traits, error handling, smart pointers, and concurrency.

• Basics
• Ownership & Borrowing
• RAII & Drop
• Strings
• Collections
• Iterators
• Traits & Generics
• Polymorphism
• Casting
• Const Functions
• Closures
• Smart Pointers
• Error Handling
• Threads
• Macros
• Modules
• FFI & C++ Bindings

Deep dives into advanced topics with detailed explanations, low-level implementations, and working code examples.

• Building NVSHMEM from Scratch: GPU-Initiated Networking