Guidelines for modern C++ development with C++17/20 standards, memory safety, and performance optimization
Runs LLM inference on CPU, Apple Silicon, and consumer GPUs without NVIDIA hardware. Use for edge deployment, M1/M2/M3 Macs, AMD/Intel GPUs, or when CUDA is unavailable. Supports GGUF quantization...
Runs LLM inference on CPU, Apple Silicon, and consumer GPUs without NVIDIA hardware. Use for edge deployment, M1/M2/M3 Macs, AMD/Intel GPUs, or when CUDA is unavailable. Supports GGUF quantization...
Write idiomatic C++ code with modern features, RAII, smart
Write idiomatic C++ code with modern features, RAII, smart
Write idiomatic C++ code with modern features, RAII, smart
Write idiomatic C++ code with modern features, RAII, smart
Use when building C++ applications requiring modern C++20/23 features, template metaprogramming, or high-performance systems. Invoke for concepts, ranges, coroutines, SIMD optimization, memory management.
Use when building C++ applications requiring modern C++20/23 features, template metaprogramming, or high-performance systems. Invoke for concepts, ranges, coroutines, SIMD optimization, memory management.
C++20 specialist with expertise in modern C++ features, performance optimization, and system programming
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Implements JavaScript classes in C++ using JavaScriptCore. Use when creating new JS classes with C++ bindings, prototypes, or constructors.
Expert guide for Unreal Engine 5.x C++ development, covering UObject hygiene, performance patterns, and best practices.
Expert guide for Unreal Engine 5.x C++ development, covering UObject hygiene, performance patterns, and best practices.
GGUF format and llama.cpp quantization for efficient CPU/GPU inference. Use when deploying models on consumer hardware, Apple Silicon, or when needing flexible quantization from 2-8 bit without...
Expert skill for integrating local Large Language Models using llama.cpp and Ollama. Covers secure model loading, inference optimization, prompt handling, and protection against LLM-specific...
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