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nvidia-cuda

NVIDIA CUDA GPU 並列コンピューティングリファレンス。CUDA C++ / CUDA Python, kernel, nvcc, Unified Memory, CUDA Graphs, Cooperative Groups, Driver API, マルチ GPU。

PTX ISA 命令セット, state space, MMA 命令。Blackwell チューニング, Streaming Multiprocessor, NVLink。

CUTLASS / CuTe DSL / CuTe C++ GEMM, Tensor Core, tcgen05, Operator API, nsight-compute, compute-sanitizer。

Fandhe-AI/agent-reference-skills
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含まれるファイル（200）

  • SKILL.md10.1 KB
  • references/advanced/appendices/compute-capabilities.md1.9 KB
  • references/advanced/appendices/cpp-language-extensions.md4.4 KB
  • references/advanced/appendices/cpp-language-support.md2.4 KB
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  • references/advanced/core/advanced-host-programming.md3.3 KB
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  • references/advanced/core/README.md791 B
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  • references/advanced/features/driver-entry-point-access.md2.6 KB
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  • references/advanced/features/extended-gpu-memory.md2.4 KB
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  • references/cutlass/cute-dsl/deprecation-policy.md1.2 KB
  • references/cutlass/cute-dsl/dsl-ahead-of-time-compilation.md1.6 KB
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  • references/cutlass/cute-dsl/faqs.md2.0 KB
  • references/cutlass/cute-dsl/framework-integration.md1.7 KB
  • references/cutlass/cute-dsl/functionality.md680 B
  • references/cutlass/cute-dsl/iket-profiling.md1.9 KB
  • references/cutlass/cute-dsl/limitations.md1.3 KB
  • references/cutlass/cute-dsl/mma-intro.md1.0 KB
  • references/cutlass/cute-dsl/mma-tcgen05-programming.md2.1 KB
  • references/cutlass/cute-dsl/mma-wgmma-programming.md1.8 KB
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  • references/cutlass/cute-dsl/naming-conventions.md1.3 KB
  • references/cutlass/cute-dsl/overview.md1.2 KB
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  • references/cutlass/cute-dsl/quick-start.md916 B
  • references/cutlass/cute-dsl/README.md5.8 KB
  • references/cutlass/cute-dsl/task-scheduling.md1.5 KB
  • references/cutlass/operator-api/api-arguments.md2.7 KB
  • references/cutlass/operator-api/api-discovery.md1.8 KB
  • references/cutlass/operator-api/api-metadata.md2.4 KB
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  • references/cutlass/operator-api/tutorial-002-bring-your-own-kernel.md2.2 KB
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  • references/cutlass/operator-api/tutorial-004-fake-tensors.md1.4 KB
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  • samples/async-copy-pipeline.md3.3 KB
  • samples/cooperative-groups-reduction.md2.6 KB
  • samples/cuda-graph-explicit-nodes.md7.7 KB
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SKILL.md（原文）

インストールする前に、エージェントに与えられる指示の中身を確認できます。

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

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:

  1. 下記マッピング表でタスクに対応するカテゴリを探す
  2. 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
  3. 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-modelreferences/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-modelreferences/programming-model/README.md
advanced カテゴリ全体の構成（core / features / appendices）を確認したいadvancedreferences/advanced/README.md
Driver API・マルチ GPU・advanced host/kernel programming を調べたいadvanced/corereferences/advanced/core/README.md
CUDA Graphs / Cooperative Groups / Unified Memory / VMM / IPC 等の機能 API を調べたいadvanced/featuresreferences/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/appendicesreferences/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-isareferences/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-tuningreferences/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cutlassreferences/cutlass/README.md
CuTe DSL (Python) で GEMM・MMA・レイアウトを書きたいcutlass/cute-dslreferences/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-apireferences/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/cppreferences/cutlass/cpp/README.md
典型的な使い方を知りたい（vector add, tiled matmul, GEMM, CUDA Graphs 等）samplessamples/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scriptsscripts/README.md

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amd-rocm

無料日本語概要

AMD ROCm / HIP GPU コンピューティングリファレンス。 hipMalloc, hipLaunchKernelGGL, HIP Graph, HIPRTC, hipify, rocBLAS, MIOpen, RCCL, rocprofv3, amd-smi, rocminfo, CDNA1-4 / RDNA1-4, MI300 / MI350, gfx942, Matrix Core, wave32/64。

Fandhe-AI/agent-reference-skills42026年10月13日 更新

android-architecture

無料日本語概要

Android アプリ開発 (Kotlin) の推奨アーキテクチャリファレンス。 Jetpack, androidx, UI layer, Domain layer, Data layer, state holder, UDF, SSOT, オフラインファースト, モジュール化, ViewModel, viewModelScope, SavedStateHandle, Lifecycle, repeatOnLifecycle, collectAsStateWithLifecycle, LiveData, Hilt による DI, Paging 3 によるページング処理。

Fandhe-AI/agent-reference-skills42026年10月13日 更新

android-background-work

無料日本語概要

Android アプリ開発 (Kotlin) のバックグラウンド・非同期処理リファレンス。 Jetpack androidx WorkManager: Worker, CoroutineWorker, WorkRequest, Constraints, WorkInfo, WorkContinuation, expedited work, テスト。 Service: フォアグラウンドサービス, バウンドサービス, AIDL, Messenger。 AlarmManager, PendingIntent, BroadcastReceiver, JobScheduler, Doze。 Kotlin コルーチン, Flow, StateFlow, SharedFlow, Channel。

Fandhe-AI/agent-reference-skills42026年10月13日 更新

android-build-gradle

無料日本語概要

Android アプリ開発 (Kotlin) の Gradle ビルドシステムリファレンス。 Android Gradle Plugin (AGP), Kotlin DSL (build.gradle.kts), version catalog, KSP, R8/ProGuard, App Bundle, baseline profile。

Fandhe-AI/agent-reference-skills42026年10月13日 更新

android-compose-components

無料日本語概要

Android Jetpack Compose (Kotlin) の androidx Material3 コンポーネントリファレンス。 Button, IconButton, FloatingActionButton, Checkbox, Switch, Slider, TextField, SearchBar, DropdownMenu, Chip, DatePicker, TimePicker, Card, Scaffold, Dialog, BottomSheet, TopAppBar, NavigationBar, NavigationRail, Tab, Snackbar, ProgressIndicator, Badge, Icon, MaterialTheme, ColorScheme, Typography, Shapes。

Fandhe-AI/agent-reference-skills42026年10月13日 更新

android-compose-graphics-animation

無料日本語概要

Android Jetpack Compose (Kotlin) のアニメーション・描画リファレンス。 androidx.compose.animation / graphics API。 AnimatedVisibility, AnimatedContent, animate*AsState, Animatable, AnimationSpec, Canvas, DrawScope, Brush, Path, Color, Image。

Fandhe-AI/agent-reference-skills42026年10月13日 更新

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