CUDA agent skills, page 4

A skill your agent uses for web searches and current information lookups, finding sources, fact-checking, researching questions, comparing sources, or summarising web pages.

zhongkaifu/TensorSharp

Verify a CV-CUDA optimization campaign's deterministic definition-of-done and concise versioned MR summary per .agents/guidance/OPTIMIZATIONGUIDELINES.md.

CVCUDA/CV-CUDA

Runs LLM inference on CPU, Apple Silicon, and consumer GPUs without NVIDIA hardware.

Orchestra-Research/AI-Research-SKILLs

A skill your agent uses when the user wants to set up LLM training for the first time, or when traininghub is not yet installed/configured in the current environment.

Red-Hat-AI-Innovation-Team/training_hub

Integrate a new text-to-speech model into vLLM-Omni from HuggingFace reference implementation through production-ready serving with streaming and CUDA graph acceleration.

vllm-project/vllm-omni

Deploy and serve GenRec checkpoints with FlashRec (install, serve.sh, SID trie, wide-beam knobs, health/curl, FP8, profiling).

sohu-mptc/FlashRec

Write, debug, and optimize TileLang kernels from local upstream language, JIT, autotuning, profiling, compiler, test, and example source.

slowlyC/agent-gpu-skills

A skill your agent uses when writing, debugging, porting, reviewing, or optimizing CUTLASS or CuTe C++ kernels and templates; navigating CUTLASS examples, collectives, epilogues, pipelines, GEMM…

vipshop/cache-dit

Guided workflow for adding a new model architecture to llama.cpp.

JakeATX/llamAmpere

Build, simulate, and analyze quantum circuits with MindQuantum.

mindspore-ai/mindquantum

Add, fix, or validate Triton Runner support for an exact Triton version.

toyaix/triton-runner

A skill your agent uses for performance profiling and optimization.

ByteDance-Seed/VeOmni

CMake build options, custom functions, and backend patterns for LuisaCompute.

LuisaGroup/LuisaCompute

Step-by-step playbook for migrating a pytorch/pytorch .github/workflows/.yml from EC2 to OSDC (ARC) runners — covers both dial-up and 100% opt-in patterns, with the inputs that must be plumbed…

pytorch/test-infra

Step-by-step tutorial for adding a heavyweight AOT CUDA/C++ kernel to sgl-kernel (including tests & benchmarks)

sgl-project/sglang

Call this skill when you need to debug CUDA crashes in SGLang using kernel API logging

sgl-project/sglang

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

Guides users through LLM post-training with Training Hub, including installation, algorithm selection (SFT, OSFT, LoRA), hyperparameter tuning, troubleshooting OOM errors, interpreting loss curves…

Red-Hat-AI-Innovation-Team/training_hub

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

slowlyC/agent-gpu-skills

Expert guide for Backend.AI distributed computing platform. An agent skill from lablup/backend.ai-webui.

lablup/backend.ai-webui

Add a new CV-CUDA operator end-to-end per .agents/guidance/MAKEOPGUIDELINES.md, with a deterministically-enforced definition-of-done.

CVCUDA/CV-CUDA

A skill your agent uses when doing operator migration or kernel migration for CUDA, Triton, or custom ops in cache-dit; porting kernels from nunchaku, deepcompressor, or other repos; designing…

vipshop/cache-dit

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

Touch-lists for common OCANNL extension tasks: adding a primitive operation, adding or extending a backend, extending shape inference, and diagnosing output differences between backends.

ahrefs/ocannl

Initialize a Draw Things GPU server with GPUScript, including script sync, Docker/CUDA/NVIDIA runtime setup, 7T data disk mounting, mergerfs, and end-to-end GPU verification.

drawthingsai/draw-things-community

Build and run the unit tests covering changed Celeritas source files.

celeritas-project/celeritas

Guidelines for NVIDIA GPU kernel / Triton / Gluon / TileLang / CUDA backend performance work in the FLA repo.

fla-org/flash-linear-attention

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

Productionize a vLLM-Omni diffusion model after its Day-0 vertical slice works.

vllm-project/vllm-omni

Let AKA autonomously add, run, inspect, and revise intra-kernel timeline probes for standalone CUDA/inline PTX or CuTe DSL when ordinary benchmark, NSYS, or NCU evidence cannot answer a specific…

alibaba/atrex-kernel-agent

Review llama.cpp changes against project conventions and common reviewer pitfalls before a PR.

JakeATX/llamAmpere

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

jaccen/Awesome-Gaussian-Skills

A skill your agent uses when updating dependencies managed by uv: bumping a package version, upgrading the uv tool itself, updating torch/CUDA stack, switching transformers version, or regenerating…

ByteDance-Seed/VeOmni

How to compile Gkeyll libraries, executables, and specific unit or regression test targets on CPU or CUDA.

gkeyllorg/gkeyll

Query current NVIDIA CUDA, PTX ISA, Runtime API, Driver API, Programming Guide, Best Practices, Nsight Compute, and Nsight Systems references.

slowlyC/agent-gpu-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

Debug crashes and test failures via stack-traces, host/device logging, and DSL buffer inspection.

LuisaGroup/LuisaCompute

使用 PaddlePaddle 仓库规则评审 Pull Request 和全仓库代码变更，覆盖正确性、兼容性、算子、分布式、数值、性能、安全、测试、构建和 PR 信息。当需要审查 Paddle 的代码、测试、算子 YAML、C++/CUDA/XPU kernel、Python API、分布式逻辑或 CI 配置时使用。

PaddlePaddle/Paddle

Scaffold a new CV-CUDA operator — a complete, wired, building skeleton — and delegate the implementation to a human or another AI.

CVCUDA/CV-CUDA

Quick install and deploy vLLM, start serving with a simple LLM, and test OpenAI API.

vllm-project/vllm-skills

Workflow for upgrading/integrating cache-dit in SGLang diffusion (multimodalgen): DBCache, DMD calibrator, TaylorSeer, SVDQuant DQ; porting upstream PRs and resolving conflicts against the…

sgl-project/sglang

Rigor Debug / Rigor Audit skill for deep learning research work.

lllllllama/RigorPilot-Skills

Add or debug an AReno model family, including config conversion, module construction, checkpoint load/save, text or multimodal inference, training backward, tensor parallelism, CUDA graph decode…

inclusionAI/AReno

Verify a new CV-CUDA operator against the deterministic final regression checklist (the /make-op done-gate).

CVCUDA/CV-CUDA

Collect and normalize environment facts (OS, Python, GPU, CUDA/ROCm, container state) before Quark installation or PTQ planning.

amd/Quark

Measure TileLang kernel and workflow performance, choose benchmark or timeline tools, and compare implementations fairly.

sablin39/tilelang-cuda-skills

Update .vscode/launch.json to debug a specific CTest test by name.

celeritas-project/celeritas