GitHub
allegro
Allegro MicroSystems MPN encoding patterns, suffix decoding, and handler guidance. Use when working with current sensors, motor drivers, or Hall effect sensors.
☆ 1查看技能
tools framework internals AI 技能
发现 tools framework internals 相关 Skills，比较来源仓库和用途，查看适合你工作流的技能说明。
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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.
☆ 1查看技能
GitHub
macroblock
Macroblock Inc. MPN encoding patterns, LED driver decoding, and handler guidance. Use when working with Macroblock LED drivers or MacroblockHandler.
☆ 1查看技能
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.
☆ 1查看技能
GitHub
puya
Puya Semiconductor MPN encoding patterns, suffix decoding, and handler guidance. Use when working with Puya SPI NOR Flash memory components or PuyaHandler.
☆ 1查看技能
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...
☆ 1查看技能
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...
☆ 1查看技能
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.
☆ 1查看技能
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.
☆ 1查看技能
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...
☆ 1查看技能
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...
☆ 1查看技能
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...
☆ 1查看技能
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...
☆ 1查看技能
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...
☆ 1查看技能
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...
☆ 1查看技能
GitHub
manage-memories
Memory layer operations for persistent session storage
☆ 1查看技能
GitHub
ext-outline-plugin
Outline extension implementing protocol for plugin development domain
☆ 1查看技能
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...
☆ 1查看技能
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...
☆ 1查看技能
GitHub
python-performance-patterns
Low-risk Python performance optimization patterns with verified speedups
☆ 1查看技能
GitHub
windows-cupy-nvrtc
Fix CuPy NVRTC compilation errors on Windows. Trigger: NVRTC_ERROR_BUILTIN_OPERATION_FAILURE, nvrtc-builtins64 not found
☆ 1查看技能
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.
☆ 1查看技能
GitHub
gpu-parallel-scheduling
GPU-safe parallel processing patterns for KINTSUGI to prevent OOM crashes and ensure Jupyter-compatible progress output
☆ 1查看技能
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.
☆ 1查看技能
默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库，同一仓库的多个技能可能共享相同数值；它反映仓库关注度，不代表单个技能的安装量或质量评分。