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Found 87 Skills
Comprehensive best practices, design patterns, and common pitfalls for ROS2 (Robot Operating System 2) development. Use this skill when building ROS2 nodes, packages, launch files, components, or debugging ROS2 systems. Trigger whenever the user mentions ROS2, colcon, rclpy, rclcpp, DDS, QoS, lifecycle nodes, managed nodes, ROS2 launch, ROS2 parameters, ROS2 actions, nav2, MoveIt2, micro-ROS, or any ROS2-era robotics middleware. Also trigger for ROS2 workspace setup, DDS tuning, intra-process communication, ROS2 security, or deploying ROS2 in production. Also trigger for colcon build issues, ament_cmake, ament_python, CMakeLists.txt for ROS2, package.xml dependencies, rosdep, workspace overlays, custom message generation, or ROS2 build troubleshooting. Covers Humble, Iron, Jazzy, and Rolling distributions.
AddressSanitizer detects memory errors during fuzzing. Use when fuzzing C/C++ code to find buffer overflows and use-after-free bugs.
Use when reviewing or scoring AI-generated business/application code quality in any language, especially when a numeric score, risk level, or must-fix checklist is requested, or when C++ code must comply with OpenHarmony C++ and security standards
Building AAA-quality games and real-time experiences with Unreal Engine 5Use when "unreal, ue5, ue4, unreal engine, blueprints, blueprint, actor component, gameplay ability, gas unreal, niagara, nanite, lumen, world partition, level streaming, unreal multiplayer, unreal replication, gamemode, gamestate, playerstate, playercontroller, pawn, character class, uclass, ustruct, uenum, uproperty, ufunction, unreal, ue5, blueprints, c++, gamedev, aaa, real-time, rendering, nanite, lumen, niagara, gameplay, replication, multiplayer, gas" mentioned.
Use when reviewing OpenHarmony C++ system service code for security vulnerabilities, particularly IPC handlers, multithreaded components, or code handling sensitive user data
Profile-guided optimisation skill for C/C++ with GCC and Clang. Use when squeezing maximum runtime performance after standard optimisation plateaus, implementing two-stage PGO builds, collecting profile data, or applying BOLT for post-link optimisation. Activates on queries about PGO, profile-guided optimization, fprofile-generate, fprofile-use, instrumented builds, or BOLT.
C++ and Rust memory model skill for concurrent programming. Use when understanding memory ordering, writing lock-free data structures, using std::atomic or Rust atomics, diagnosing data races, or selecting the correct memory order for atomic operations. Activates on queries about memory ordering, acquire-release, seq_cst, relaxed atomics, happens-before, memory barriers, std::atomic, or Rust atomic ordering.
Meson build system skill for C/C++ projects. Use when setting up a Meson project, configuring build options, managing dependencies with the wrap system, cross-compiling, or integrating Meson with CI. Activates on queries about meson setup, meson compile, meson wrap, meson test, cross-file, meson.build, or migrating from CMake/Autotools to Meson.
CPU cache optimization skill for C/C++ and Rust. Use when diagnosing cache misses, improving data layout for cache efficiency, using perf stat cache counters, understanding false sharing, prefetching, or structuring AoS vs SoA data layouts. Activates on queries about cache misses, cache lines, false sharing, perf cache counters, data layout optimization, prefetch, AoS vs SoA, or L1/L2/L3 cache performance.
Guidance for creating standalone CLI tools that perform neural network inference by extracting PyTorch model weights and reimplementing inference in C/C++. This skill applies when tasks involve converting PyTorch models to standalone executables, extracting model weights to portable formats (JSON), implementing neural network forward passes in C/C++, or creating CLI tools that load images and run inference without Python dependencies.
Develop high-performance C/C++ plugins for Stata using the stplugin.h SDK. Use when the user asks to create a Stata plugin, write C/C++ code for Stata, accelerate a Stata command with C, build cross-platform Stata plugins, or translate/port a Python or R package into Stata. Covers the full lifecycle: SDK setup, data flow, memory safety, .ado wrappers with preserve/merge, cross-platform compilation, performance optimization (pthreads, pre-sorted indices, XorShift RNG), debugging, and distribution via net install. Also includes a translation workflow for porting Python/R packages to Stata — wrapping existing C++ backends when available, or writing C from scratch when not.
C++ library for reducing tail latency in RAM reads by hedging across multiple DRAM channels with uncorrelated refresh schedules