Mode d’emploi
- Copiez la commande et examinez le paquet avant de l’installer dans votre environnement agent.
- Consultez le document original pour les outils, identifiants et environnements requis.
- Décrivez les entrées et le livrable souhaité ; comparez la sortie aux sources.
npx skills add https://github.com/fandhe-ai/agent-reference-skills --skill nvidia-cudaAvant de commencer
- L’installation n’inclut ni abonnement au modèle, ni quota API, ni accès aux fichiers.
- Étoiles et installations reflètent l’activité, pas un test indépendant de qualité ou de sécurité.
Document Skill original
Rendu depuis le dépôt source en conservant titres, exemples, code, tableaux, liens et images.
nvidia-cuda
NVIDIA CUDA — GPU 上で汎用並列計算を行うためのプログラミングモデル・ツールチェーン・ライブラリ群。 CUDA C++/Python によるカーネル記述、PTX ISA 命令セット、Blackwell アーキテクチャ向けチューニング、 CUTLASS/CuTe による高性能 GEMM 実装をカバーする。
ディレクトリ構成
text
skills/nvidia-cuda/
SKILL.md
references/
programming-model/
README.md
introduction.md
programming-model.md
cuda-platform.md
intro-to-cuda-cpp.md
intro-to-cuda-python.md
writing-cuda-kernels.md
writing-tile-kernels.md
asynchronous-execution.md
understanding-memory.md
nvcc.md
advanced/
README.md
core/
README.md
advanced-host-programming.md
advanced-kernel-programming.md
driver-api.md
multi-gpu-systems.md
feature-survey.md
features/
README.md
unified-memory.md
cuda-graphs.md
stream-ordered-memory-allocation.md
cooperative-groups.md
programmatic-dependent-launch.md
green-contexts.md
lazy-loading.md
error-log-management.md
async-barriers.md
pipelines.md
async-copies.md
cluster-launch-control.md
l2-cache-control.md
memory-sync-domains.md
inter-process-communication.md
virtual-memory-management.md
extended-gpu-memory.md
dynamic-parallelism.md
graphics-interop.md
driver-entry-point-access.md
appendices/
README.md
compute-capabilities.md
environment-variables.md
cpp-language-support.md
cpp-language-extensions.md
mathematical-functions.md
device-callable-apis.md
cuda-cpp-memory-model.md
cuda-cpp-execution-model.md
ptx-isa/
README.md
introduction.md
programming-model.md
machine-model.md
syntax.md
state-spaces-types-variables.md
instruction-operands.md
abi.md
memory-consistency-model.md
instruction-set-overview.md
instructions-arithmetic.md
instructions-comparison-logic.md
instructions-data-movement.md
instructions-texture-surface.md
instructions-control-flow.md
instructions-sync-communication.md
instructions-matrix-multiply.md
instructions-video-misc.md
special-registers.md
directives.md
pragma-strings.md
release-notes.md
blackwell-tuning/
README.md
architecture.md
best-practices.md
streaming-multiprocessor.md
memory-system.md
nvlink.md
cutlass/
README.md
cute-dsl/
README.md
overview.md
functionality.md
quick-start.md
cute-dsl.md
dsl-introduction.md
dsl-code-generation.md
dsl-control-flow.md
dsl-jit-arg-generation.md
dsl-dynamic-layout.md
dsl-struct-types.md
dsl-jit-caching.md
dsl-jit-compilation-options.md
dsl-types.md
framework-integration.md
debugging.md
iket-profiling.md
autotuning-gemm.md
compile-with-tvm-ffi.md
dsl-ahead-of-time-compilation.md
naming-conventions.md
deprecation-policy.md
mma-intro.md
mma-wmma-programming.md
mma-wgmma-programming.md
mma-tcgen05-programming.md
limitations.md
faqs.md
api-overview.md
api-cute.md
api-cute-arch.md
api-cute-runtime.md
api-cute-nvgpu.md
api-cute-nvgpu-common.md
api-cute-nvgpu-warp.md
api-cute-nvgpu-warpgroup.md
api-cute-nvgpu-cpasync.md
api-cute-nvgpu-tcgen05.md
api-pipeline.md
api-utils.md
api-utils-sm90.md
api-utils-sm100.md
operator-api/
README.md
overview.md
tutorials.md
tutorial-000-gemm.md
tutorial-001-gemm-fused-epilogue.md
tutorial-002-bring-your-own-kernel.md
tutorial-003-host-latency-best-practices.md
tutorial-004-fake-tensors.md
tutorial-005-grouped-gemm-contiguous-offset.md
tutorial-006-block-scaled-gemm.md
api-reference.md
api-operator.md
api-arguments.md
api-discovery.md
api-metadata.md
api-misc.md
cpp/
README.md
overview.md
getting-started.md
quickstart.md
ide-setup.md
build.md
build-windows-visual-studio.md
build-clang-host-compiler.md
functionality.md
terminology.md
fundamental-types.md
programming-guidelines.md
gemm-heuristics.md
efficient-gemm.md
pipeline.md
profiler.md
gemm-performance-measurement.md
dependent-kernel-launch.md
blackwell.md
blackwell-sm100-gemm.md
blackwell-cluster-launch-control.md
code-organization.md
cute.md
cute-quickstart.md
cute-layout.md
cute-layout-algebra.md
cute-tensor.md
cute-algorithms.md
cute-mma-atom.md
cute-gemm-tutorial.md
cute-predication.md
cute-tma-tensors.md
cutlass-3x.md
cutlass-3x-design.md
cutlass-3x-backwards-compatibility.md
gemm-api-3x.md
cutlass-2x.md
layout-2x.md
gemm-api-2x.md
tile-iterator-concept.md
utilities.md
grouped-scheduler.md
implicit-gemm-convolution.md
samples/
README.md
async-copy-pipeline.md
cooperative-groups-reduction.md
cuda-graph-explicit-nodes.md
cuda-graph-stream-capture.md
cute-dsl-gemm.md
cutlass-cpp-device-gemm.md
cutlass-operator-api-gemm.md
explicit-memory-transfer.md
multi-gpu-peer-to-peer.md
shared-memory-tiled-matmul.md
stream-ordered-allocation.md
stream-overlap.md
tile-kernel-vector-add.md
unified-memory.md
vector-add-kernel.md
scripts/
README.md
install.md
nvcc-build.md
binary-utilities.md
sanitize.md
debug.md
nsight-systems.md
nsight-compute.md
gpu-query.md
cutlass-build.md探索手順
タスクからカテゴリを引き、カテゴリの README.md で目的のページを特定する:
- 下記マッピング表でタスクに対応するカテゴリを探す
- そのカテゴリの
references/{category}/README.md（advanced/cutlass/はサブディレクトリの README.md）を参照して目的のページを特定する - 該当ページの
.mdを Read して詳細を確認する
GB10 Grace Blackwell 実機のハードウェア仕様・DGX OS・PXE/fleet 運用・playbook 起動手順は dgx-spark スキル、 リモート接続管理・VS Code 起動等のデスクトップアプリ操作は nvidia-sync スキルを参照。 本スキルは CUDA C++/Python の書き方・PTX 命令・CUTLASS API を担当する。
タスク → カテゴリ マッピング
| タスク | カテゴリ | 参照 README |
|---|---|---|
| CUDA とは何か・GPU 階層モデル・CUDA プラットフォームの全体像を知りたい | programming-model | references/programming-model/README.md |
| CUDA C++/Python でカーネルを書く、nvcc でビルドする、非同期実行・ストリームを扱う | programming-model | references/programming-model/README.md |
| advanced カテゴリ全体の構成（core / features / appendices）を確認したい | advanced | references/advanced/README.md |
| Driver API・マルチ GPU・advanced host/kernel programming を調べたい | advanced/core | references/advanced/core/README.md |
| CUDA Graphs / Cooperative Groups / Unified Memory / VMM / IPC 等の機能 API を調べたい | advanced/features | references/advanced/features/README.md |
| Compute Capability・環境変数・C++ 言語拡張・メモリ/実行モデルの技術付録を調べたい | advanced/appendices | references/advanced/appendices/README.md |
| PTX 命令セット・state space・レジスタ・memory consistency model を調べたい | ptx-isa | references/ptx-isa/README.md |
| Blackwell アーキテクチャ・SM occupancy・NVLink・メモリシステムのチューニングを知りたい | blackwell-tuning | references/blackwell-tuning/README.md |
| CUTLASS/CuTe 全体のカテゴリ構成（CuTe DSL / Operator API / C++）を確認したい | cutlass | references/cutlass/README.md |
| CuTe DSL (Python) で GEMM・MMA・レイアウトを書きたい | cutlass/cute-dsl | references/cutlass/cute-dsl/README.md |
| CUTLASS Operator API（Python、コンパイル済みカーネル呼び出し）を使いたい | cutlass/operator-api | references/cutlass/operator-api/README.md |
| CUTLASS C++ / CuTe C++ でテンプレートベースの GEMM カーネルを実装したい | cutlass/cpp | references/cutlass/cpp/README.md |
| 典型的な使い方を知りたい（vector add, tiled matmul, GEMM, CUDA Graphs 等） | samples | samples/README.md |
| インストール・nvcc ビルド・nsight プロファイリング・compute-sanitizer コマンドを知りたい | scripts | scripts/README.md |
