GitHub
allegro
Allegro MicroSystems MPN encoding patterns, suffix decoding, and handler guidance. Use when working with current sensors, motor drivers, or Hall effect sensors.
Skills IA tools framework internals
Découvrez les skills tools framework internals, comparez leurs dépôts et consultez leurs instructions.
Catégories: tools framework internals
tools framework internals Effacer les filtres
Explorer
GitHub
ndk
NDK (Nihon Dempa Kogyo) timing devices MPN encoding patterns, suffix decoding, and handler guidance. Use when working with NDK crystals, oscillators, TCXOs, VCXOs, OCXOs, VCSOs, or SAW devices.
GitHub
macroblock
Macroblock Inc. MPN encoding patterns, LED driver decoding, and handler guidance. Use when working with Macroblock LED drivers or MacroblockHandler.
GitHub
wch
WCH (Nanjing Qinheng Microelectronics) MPN encoding patterns, suffix decoding, and handler guidance. Use when working with WCH RISC-V MCUs, USB interface chips, or WCHHandler.
GitHub
puya
Puya Semiconductor MPN encoding patterns, suffix decoding, and handler guidance. Use when working with Puya SPI NOR Flash memory components or PuyaHandler.
GitHub
obs-windows-building
Build OBS Studio plugins for Windows using MSVC or MinGW. Covers Visual Studio setup, .def file exports, Windows linking (ws2_32, comctl32), platform-specific sources, and DLL verification. Use when building OB...
GitHub
obs-cross-compiling
Cross-compile OBS Studio plugins from Linux to Windows using MinGW, CMake presets, and CI/CD workflows. Covers toolchain files, headers-only linking, OBS SDK fetching, and multi-platform artifact packaging. Use...
GitHub
flight-computer
Flight computer subproject context. Use when working in the flight_computer package, camera capture, video processing, audio recording, or high-level mission logic.
GitHub
burn-onnx-surgeon
Specializes in ONNX model import failures, unsupported operators, opset version mismatches, and dynamic shape issues. Use when burn-import fails or produces incorrect results.
GitHub
burn-onnx
This skill should be used when the user asks about "ONNX import", "PyTorch to Burn", "safetensors", "model conversion", "burn-import", "unsupported operator", "opset version", or importing external models into...
GitHub
burn-app-dev
This skill should be used when the user asks about "Burn tensors", "tensor operations", "Module derive", "burn config", "autodiff", "backward pass", "gradient", "record serialization", "model weights", or core...
GitHub
burn-debugger
Diagnoses Burn deep learning errors including tensor shape mismatches, backend panics, autodiff issues, and training failures. Use when encountering runtime errors, compilation failures, or unexpected behavior...
GitHub
burn-router
This skill should be used when the user mentions "burn", "tensor", "module", "backend", "training", "ONNX", "autodiff", "deep learning in Rust", or any Burn framework related query. Routes to appropriate domain...
GitHub
burn-backends
This skill should be used when the user asks about "Burn backend", "WGPU", "NdArray", "Candle", "LibTorch", "custom kernel", "CubeCL", "quantization", "WebAssembly", "no_std", or backend selection and extension...
GitHub
burn-contrib
This skill should be used when the user asks about "contributing to Burn", "adding an operation", "burn internals", "burn-tensor", "burn-autodiff", "ONNX converter", "NodeProcessor", or Burn framework developme...
GitHub
manage-memories
Memory layer operations for persistent session storage
GitHub
ext-outline-plugin
Outline extension implementing protocol for plugin development domain
GitHub
crystal-lang
Use this skill when working with the Crystal programming language. Crystal is a statically-typed, compiled language with Ruby-like syntax. It features type inference, null safety, macros, and compiles to effici...
GitHub
oxcaml-development
Use when writing applications in OxCaml, using modes (local, portable, contended), unboxed types (float#, int32#, I64, I32, F64, UFO), SIMD vectors, stack allocation, immutable arrays, labeled tuples, zero_allo...
GitHub
python-performance-patterns
Low-risk Python performance optimization patterns with verified speedups
GitHub
windows-cupy-nvrtc
Fix CuPy NVRTC compilation errors on Windows. Trigger: NVRTC_ERROR_BUILTIN_OPERATION_FAILURE, nvrtc-builtins64 not found
GitHub
pytorch-common-pitfalls
Fix common PyTorch bugs: percentile calculations, LayerNorm for Conv1d, buffer edge cases. Trigger when writing PyTorch code for RL or neural networks.
GitHub
gpu-parallel-scheduling
GPU-safe parallel processing patterns for KINTSUGI to prevent OOM crashes and ensure Jupyter-compatible progress output
GitHub
gpu-quality-priority
KINTSUGI processing principles: Never sacrifice quality for speed, always use GPU when available. Trigger: performance optimization, CPU/GPU choice, fast mode, quality vs speed.
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.