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Found 87 Skills
Automates fuzz test creation for C++ projects using Google FuzzTest with consistent software testing patterns. Use when creating fuzz tests, mutation testing, or when the user mentions fuzzing, AFL, or coverage-guided testing.
Adds Doxygen-compatible documentation comments to C++ header files. Use this skill exclusively for adding or improving API documentation in existing header files (*.hpp, *.h). Do NOT create new resource files such as Doxyfile, scripts, or README files.
Automates mock test creation for C++ projects using Google Mock (GMock) framework with consistent software testing patterns. Use when creating tests with mocked dependencies, interface mocking, behavior verification, or when the user mentions mocks, stubs, fakes, or GMock.
Automates benchmark test creation for C++ projects using Google Benchmark with consistent software testing patterns. Use when creating performance benchmarks, profiling tests, or when the user mentions benchmarking, Google Benchmark, or performance testing.
C++20 coroutines skill for understanding coroutine mechanics and debugging. Use when working with co_await, co_yield, co_return, implementing promise_type, understanding coroutine frame layout, debugging suspended coroutines in GDB, or inspecting frame allocation with Compiler Explorer. Activates on queries about C++20 coroutines, co_await, co_yield, promise_type, coroutine_handle, coroutine suspension, or coroutine frame.
Use when C++ smart pointers including unique_ptr, shared_ptr, and weak_ptr for automatic memory management following RAII principles.
Implements JavaScript classes in C++ using JavaScriptCore. Use when creating new JS classes with C++ bindings, prototypes, or constructors.
C++20 modules skill for modern C++ projects. Use when working with named modules, module partitions, header units, CMake MODULE_SOURCES, Clang -fmodules-ts, BMI caching issues, or migrating from headers to modules. Activates on queries about C++20 modules, import statements, module interface units, header units, or BMI files.
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 vulnerabilities including prompt injection, model theft, and denial of service attacks.
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 GPU requirements.
Static analysis skill for C/C++ codebases. Use when hardening code quality, triaging noisy builds, running clang-tidy, cppcheck, or scan-build, interpreting check categories, suppressing false positives, or integrating static analysis into CI. Activates on queries about clang-tidy checks, cppcheck, scan-build, compile_commands.json, code hardening, or static analysis warnings.
Dump Unity IL2CPP symbols from iOS/Android builds. Extract method names, addresses, and type info from IL2CPP binaries and global-metadata.dat, then generate IDA/Ghidra import scripts.