AI & LLM Engineering · CUDA

Review PyTorch upstream unit-test (UT) PRs that enable Intel GPU (XPU) on existing tests.

intel/torch-xpu-ops

Review a CV-CUDA operator's BENCHMARK coverage — drivers, layout axis, baselines, the basic-tier floor, row counts, and coverage statistics.

CVCUDA/CV-CUDA

pyqula's CPU/GPU switch (src/pyqula/gpu.py), how a routine is routed onto the device, per-call precision, and the tiered porting plan in documentation/gpuportingplan.md.

joselado/pyqula

给 FlashRec 引擎接入一个新模型架构（新的 HF checkpoint / 非 Qwen3 结构）。涵盖模型定义、权重合并加载、FP8 双路径、融合 kernel 接线、CUDA graph 兼容、精度校验、以及压测+trace 验证闭环。当用户要"增加/支持/接入新模型"时使用。

sohu-mptc/FlashRec

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

sgl-project/sglang

Opinionated app components building on top of ./ui primitives

JakeATX/llamAmpere

Start, validate, debug, and stop an AReno OpenAI-compatible serving endpoint.

inclusionAI/AReno

Deploy vLLM using Docker (pre-built images or build-from-source) with NVIDIA GPU support and run the OpenAI-compatible server.

vllm-project/vllm-skills

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

Turns a parquet of image file paths into a parquet of embeddings with CLIP, SigLIP or a TAO checkpoint, using the TAO Data Services container, ahead of neighbor mining.

NVIDIA/skills

Review a CV-CUDA operator's input-type, layout, dtype, and channel support matrix.

CVCUDA/CV-CUDA

Write code that calls the installed nvMolKit Python API for GPU-accelerated, batched RDKit-style operations - Morgan fingerprints, Tanimoto/cosine similarity, ETKDG conformer embedding, MMFF/UFF…

NVIDIA-BioNeMo/bionemo-agent-toolkit

Update tools/scripts/generatebinarybuildmatrix.py when a PyTorch release goes live.

pytorch/test-infra

How to build and run GPU targets under Buck in fbcode. An agent skill from facebookexperimental/triton.

facebookexperimental/triton

Deploy and manage vLLM for high-throughput LLM inference. An agent skill from sickn33/agentic-awesome-skills.

sickn33/agentic-awesome-skills

A skill your agent uses when the user needs to choose the tile, dtype, ctagroup::1/2, SMEM operand layout, or TMEM accumulator mapping for a tcgen05 MMA on B200/Blackwell, or to implement an…

mirage-project/mirage

A skill your agent uses when the user wants to confirm whether an existing CUDA extension/binary can run on B200, configure compute100/sm100 or the architecture-specific sm100a, or check PTX/cubin…

mirage-project/mirage

Use FP16/BF16 mixed precision to accelerate training and reduce memory.

aiming-lab/AutoResearchClaw

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

AI demos and GPU compute with Gradio Spaces and Hugging Face Spaces ZeroGPU.

sickn33/agentic-awesome-skills

Install Triton + SageAttention to accelerate ComfyUI (the sageattn attentionmode and inductor torch.compile used by WanVideoWrapper / many video graphs).

artokun/comfyui-mcp

Apply Gkeyll naming conventions when creating, editing, or reviewing C, CUDA, or Lua files and code elements.

gkeyllorg/gkeyll

Set up a working ML training/inference environment on NVIDIA DGX Spark (GB10, aarch64, CUDA 13).

wshobson/agents

A skill your agent uses when creating, migrating, or debugging pixi environments, especially for scientific Python, bioinformatics, single-cell analysis, CUDA/PyTorch, Jupyter/VS Code kernels…

xuzhougeng/wisp-science

Write, review, and run high-level xTBloom Python GFN2-xTB inference with Calculator, Structure, and BatchCalculator, including single systems, repeated geometry updates, heterogeneous ragged…

jinzhezenggroup/computational-chemistry-agent-skills

Install or verify the correct ONNX Runtime build (and the onnx package) for a user's accelerator backend before Quark's ONNX-to-ONNX flow.

amd/Quark

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

Continue KERMT pretraining on a custom SMILES corpus with a groverbase, cmim, or hybrid checkpoint.

NVIDIA/skills

Extract per-molecule embeddings from any encoder-bearing KERMT checkpoint.

NVIDIA/skills

Finetune a pretrained KERMT encoder on a labeled CSV. An agent skill from NVIDIA/skills.

NVIDIA/skills

A skill your agent uses when writing or debugging nvMolKit Python code for GPU-accelerated RDKit fingerprints, similarity, conformers, clustering, and molecular searches.

NVIDIA/skills

Check whether a CV-CUDA operator is READY to optimize (correctness + bench coverage + captured baseline + profiling) per .agents/guidance/OPTIMIZATIONGUIDELINES.md.

CVCUDA/CV-CUDA

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

ZJLi2013/awesome-kernel-skills

XMake build configuration, options, commands, and patterns for LuisaCompute.

LuisaGroup/LuisaCompute

Evaluate whether an existing hot path is a credible NVIDIA Warp candidate.

NVIDIA/skills

A skill your agent uses when training, evaluating, or exporting Workflow policies with online RSL-RL or RLinf, including RL checkpoint and Workflow handoff.

NVIDIA/skills

Pretrain a fresh KERMT model from scratch on a user-provided corpus.

NVIDIA/skills

HeartMuLa: Suno-like song generation from lyrics + tags. An agent skill from Luciole-Studio/Misaka-Agent.

Luciole-Studio/Misaka-Agent

Inspect a target ONNX model and prepare metadata for Quark ONNX PTQ planning.

amd/Quark

A skill your agent uses when compile time or startup time is the problem in code that uses Warp: a request to improve, optimize, or cut compile times; an app that is slow to start or stalls at the…

NVIDIA/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

DALI imperative dynamic mode (nvidia.dali.experimental.dynamic, ndd): use when working on ndd code or migrating pipelines; skip pipeline-only tasks.

NVIDIA/skills

Mandatory pre-flight compute resource check before running experiments.

OpenLAIR/dr-claw

A skill your agent uses for CUDA-Q setup, simulation targets, QPU access, and @cudaq.kernel authoring guidance.

NVIDIA/skills

Modify, build, test, debug, and contribute to NVIDIA cuOpt (C++/CUDA, Python, server, CI).

NVIDIA/skills

NVIDIA DeepStream SDK development with Python pyservicemaker API.

NVIDIA/skills