CUDA · GPU and accelerator computing

A skill your agent uses when working with Paddle 3.0 compiler full pipeline: SOT (Symbolic Opcode Translator) for bytecode-level dy2st graph capture, PIR (Paddle IR) for SSA-based intermediate…

PaddlePaddle/Paddle

Debug hanging issues in SGLang distributed inference (TP/PP/DP/EP).

sgl-project/sglang

LeetCUDA 书稿 LaTeX 到 Read the Docs 站点的转换管线维护 skill（站点目录 LeetCUDA/docs/readthedocs/）。当任务涉及：改完书稿后让站点同步、改转换器 convert/、本地构建与预览 build.sh、内容核对 convert.verify、浏览器验收…

xlite-dev/LeetCUDA

Explains why editing CUTLASS fused-MHA headers in ONNX Runtime can leave stale CUDA kernels after an incremental build, and how to force and verify a real rebuild.

microsoft/onnxruntime

Choose 32-bit vs 64-bit index math in PyTorch CUDA kernels. An agent skill from pytorch/pytorch.

pytorch/pytorch

LeetCUDA 中文技术书（584 页，XeLaTeX 源）按需查阅 skill——写、优化、调试或 review CUDA C++/PTX kernel 时的权威参考路由层。当任务涉及：GPU 架构/Roofline/ occupancy、向量化与 coalescing、warp/block reduce、softmax（online/LSE merge）、…

xlite-dev/LeetCUDA

把 LeetCUDA kernels/interview 教学源码（base/sgemv/sgemm/hgemm/flashattn/ffpaattn/fp8gemm.cuh/fp4gemm.cuh）+ ffpa-attn CuTe sm120 源码（csrc/cuffpa/cute fp8/fp4，commit 861d75e）写成中文 CUDA 技术书（6 Part 38 章 + CuTe…

xlite-dev/LeetCUDA

Profiles, benchmarks and tunes AI training workloads on Moore Threads MUSA GPUs with a measurement-first process that keeps model behavior unchanged.

open-infra-skills/infra-skills

Profile AI inference workloads (vLLM, SGLang, TensorRT-LLM, PyTorch, any GPU application) with the Graphsignal profiler and read the results from its local /signals JSON endpoint.

graphsignal/graphsignal

CUDA kernel development, debugging, and performance optimization for Claude Code.

technillogue/ptx-isa-markdown

Iteratively optimize a CUDA/CUTLASS/Triton kernel only when strict on-device compilation, correctness, timing, and NCU evidence gates pass.

KernelFlow-ops/cuda-optimized-skill

Analyzes Torch Profiler traces from SGLang, vLLM and TensorRT-LLM servers into kernel attribution, overlap and fusion tables.

BBuf/AI-Infra-Auto-Driven-SKILLS

Write Metal/MPS kernels for PyTorch operators. An agent skill from pytorch/pytorch.

pytorch/pytorch

A skill your agent uses when writing, debugging, porting, reviewing, or optimizing CUDA C++ or PTX kernels; investigating CUDA Runtime or Driver API behavior; profiling kernels with Nsight Systems…

vipshop/cache-dit

Runs the ONNX Runtime transformers Python tests against a GPU wheel and proves the cuDNN flash attention path was used rather than a silent fallback.

microsoft/onnxruntime

Shows how to launch distributed Megatron-LM training on a SLURM cluster: sbatch skeleton, torch.distributed.run setup, CUDA_DEVICE_MAX_CONNECTIONS rules and failure diagnosis.

NVIDIA/Megatron-LM

Profile CUDA kernels with Nsight Compute on B200 / sm100. An agent skill from mit-han-lab/ncu-report-skill.

mit-han-lab/ncu-report-skill

Preflight checks and diagnosis for ten known failure modes of ML training on NVIDIA DGX Spark's GB10, spanning launch errors, memory, thermals, bandwidth and precision.

wshobson/agents

GPU optimization workflow using uipc.profile, uipc.profile.nsight, and Nsight Compute CLI.

spiriMirror/libuipc

基于 helpfile 工程经验，协助 agent 配置 CV 主机和边缘设备环境、编译视觉与推理依赖、接入摄像头视频并打包部署服务。适用于 Ubuntu、CentOS、Windows、macOS、Jetson、树莓派和 RK3399 的 CV 工程实施与故障排查，以及相关移动端配套工具；模型训练和纯算法设计不属于本技能主线。

LMIXR/CV_Deployment_skill

Step-by-step tutorial for adding a new lightweight JIT CUDA kernel to sglang's jitkernel module

guqiong96/Lsglang

Covers the rules for writing Gradio Spaces on ZeroGPU hardware: the @spaces.GPU decorator, duration and quota tuning, process isolation and CUDA build limits.

huggingface/skills

Adds verified layer guides such as L0 and L1 and compact GPU lanes to an existing Torch Profiler Chrome trace, changing how it looks but not how it ran.

BBuf/AI-Infra-Auto-Driven-SKILLS

Write, debug, and optimize Triton and Gluon GPU kernels from local upstream tutorials, production kernels, language definitions, and compiler source.

slowlyC/agent-gpu-skills

Analyze single-file PyTorch/Kineto Chrome trace .json(.gz) files using the VeloQ CLI.

lucifer1004/VeloQ

Draft, debug, and measure CUDA kernels and host launch workflows.

sablin39/tilelang-cuda-skills

Patterns and pitfalls for the ONNX-domain Attention operator's CUDA implementation in ONNX Runtime: dispatch cascade, eligibility limits, mask and bias kernels, and test routing.

microsoft/onnxruntime

Convert PyTorch ATDISPATCH macros to ATDISPATCHV2 format in ATen C++ code.

intel/torch-xpu-ops

Review 3DGS implementation code for correctness, performance bugs, and best practices.

jaccen/Awesome-Gaussian-Skills

Guide to using Mamba selective state-space models for linear-time sequence modeling, from the Mamba block and pretrained checkpoints to Mamba-2 and speed comparisons.

Orchestra-Research/AI-Research-SKILLs

Guide to renting GPUs on Lambda Labs for ML training and inference: on-demand instances, 1-Click Clusters, SSH access, persistent filesystems and alternatives.

Orchestra-Research/AI-Research-SKILLs

Recover from GPU-busy / GPU-unavailable failures. An agent skill from facebookexperimental/triton.

facebookexperimental/triton

Benchmarks LLM inference and drives GPU kernel optimization with Magpie.

amd/skills

Step-by-step tutorial for adding a new lightweight JIT CUDA kernel to sglang.kernels JIT infrastructure and public operator groups

sgl-project/sglang

Check and compare software component versions on SageMaker HyperPod cluster nodes - NVIDIA drivers, CUDA toolkit, cuDNN, NCCL, EFA, AWS OFI NCCL, GDRCopy, MPI, Neuron SDK (Trainium/Inferentia)…

awslabs/agent-plugins

GPU-accelerates scientific Python on NVIDIA hardware and verifies that the result is correct and faster.

K-Dense-AI/scientific-agent-skills

A skill your agent uses when you need a NEW or optimized MPK CUDA kernel (a per-task .cuh under include/mirage/persistentkernel/tasks/) that must PROVABLY beat a target WITHOUT the kernel-optimizer…

mirage-project/mirage

Diagnose NCCL failures and adjacent training-pod failures on HyperPod GPU clusters (EKS or Slurm) — training hangs, AllReduce / collective-op timeouts, EFA or libfabric errors, rendezvous failures…

awslabs/agent-plugins

Measure Jetson DRAM/NvMap usage and verify before/after memory reclamation with live audit data.

NVIDIA/skills

Pick Jetson-compatible containers, vLLM runtime images, and Jetson AI Lab PyPI indexes; maps Orin SM 8.7 vs Thor SM 11.0 and JetPack-specific package choices.

NVIDIA/skills

5-stage kernel correctness verification protocol for Triton and CUDA kernels.

ZJLi2013/awesome-kernel-skills

A skill your agent uses when installing, repairing, reusing, inspecting, or verifying readiness of the native NVIDIA Video Codec SDK or PyNvVideoCodec on Jetson, including the one-frame…

NVIDIA/skills

A skill your agent uses for NVIDIA-related requests where an NVIDIA skill might help, even if the user did not ask for a skill.

NVIDIA/skills

Diagnose CUDA "illegal instruction" / kernel crashes on Triton kernels that reference to TMA loads or stores (maketensordescriptor, TensorDescriptor, descriptor.load, descriptor.store…

facebookexperimental/triton

A skill your agent uses for hands-on DOCA GPI programming — wiring a GPU-Packet-Initiator context so a CUDA kernel drives RDMA queues directly from GPU memory without host CPU mediation.

NVIDIA/skills

A skill your agent uses when the user is doing hands-on DOCA GPUNetIO programming — wiring a CUDA kernel on an NVIDIA GPU to a doca-eth queue via docagpuethrxq / docagpuethtxq, standing up the…

NVIDIA/skills

A skill your agent uses when the user is building, running, or interpreting the doca/tools/gpunetioibwritebw client+server benchmark — a CUDA kernel on the client posts RDMA WRITE work requests…

NVIDIA/skills

A skill your agent uses when the user is measuring GPU-kernel-initiated RDMA WRITE latency through doca-gpunetio — building and running the gpunetioibwritelat client + server pair under…

NVIDIA/skills