# nvidia-cuda

This skill gives an agent CUDA, PTX, Blackwell, and CUTLASS references. Use it when working through GPU code or planning CUDA kernels.

- skill · `type=skill` · Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, OpenCode · 326 installs · ★ 4
- Author: Fandhe-AI
- License: not stated · policy=link-only · description only; the file stays with the author
- Source: https://github.com/Fandhe-AI/agent-reference-skills/tree/HEAD/skills/nvidia-cuda/SKILL.md
- Updated: 2026-10-25
- HTML: https://affpapa.org/en/nevibecode/skills/nvidia-cuda

## What it does

nvidia-cuda supplies reference material for GPU programming with CUDA C++ and CUDA Python. Its coverage includes kernel development, `nvcc`, the CUDA memory model, Unified Memory, CUDA Graphs, Cooperative Groups, the Driver API, and multi-GPU systems.

The material also covers PTX ISA, state spaces, MMA instructions, Blackwell tuning, Streaming Multiprocessors, and NVLink. CUTLASS sections include CuTe DSL, C++ GEMM, Tensor Cores, `tcgen05`, task scheduling, and the Operator API. `nsight-compute` and `compute-sanitizer` are included among the tooling references.

This skill is marked as not intended for direct user invocation, so it does not provide a dedicated slash command. Claude Code installation uses `npx`, with the installed skill file at `~/.claude/skills/nvidia-cuda/SKILL.md`.

## Install

### Claude Code (native platform)

1. **Skills CLI (Vercel)**
```bash
npx skills add Fandhe-AI/agent-reference-skills --skill nvidia-cuda -a claude-code
```

2. **Manually: put the files in place**
- File: `~/.claude/skills/nvidia-cuda/SKILL.md` — Copy the whole skill folder; for one project use .claude/skills/nvidia-cuda/

### Codex

1. **Skills CLI (Vercel)**
```bash
npx skills add Fandhe-AI/agent-reference-skills --skill nvidia-cuda -a codex
```

2. **Manually: put the files in place**
- File: `.agents/skills/nvidia-cuda/SKILL.md` — For all projects use ~/.agents/skills/

### Cursor

1. **Skills CLI (Vercel)**
```bash
npx skills add Fandhe-AI/agent-reference-skills --skill nvidia-cuda -a cursor
```

2. **Manually: put the files in place**
- File: `.cursor/skills/nvidia-cuda/SKILL.md` — Cursor also reads .agents/skills/ and .claude/skills/

### GitHub Copilot

1. **GitHub CLI**
```bash
gh skill install Fandhe-AI/agent-reference-skills nvidia-cuda
```

2. **Manually: put the files in place**
- File: `.github/skills/nvidia-cuda/SKILL.md`

### Gemini CLI

1. **Skills CLI (Vercel)**
```bash
npx skills add Fandhe-AI/agent-reference-skills --skill nvidia-cuda -a gemini-cli
```

2. **Platform CLI**
```bash
gemini skills install https://github.com/Fandhe-AI/agent-reference-skills --path skills/nvidia-cuda
```

### Windsurf (Devin Desktop)

**Manually: put the files in place**
- File: `.devin/skills/nvidia-cuda/SKILL.md` — The legacy .windsurf/skills/ path still works

### OpenCode

**Skills CLI (Vercel)**
```bash
npx skills add Fandhe-AI/agent-reference-skills --skill nvidia-cuda -a opencode
```

### Claude.ai

**Claude.ai**
- Zip the folder and upload it in Settings → Capabilities → Skills

Where a file is given instead of a command, copy the files from the source to that path: https://github.com/Fandhe-AI/agent-reference-skills/tree/HEAD/skills/nvidia-cuda/SKILL.md

## When to use it
- inspect a CUDA kernel written in C++ or Python
- locate PTX ISA guidance for a low-level GPU issue
- compare Unified Memory with CUDA Graphs for a design
- plan a GEMM implementation with CUTLASS or CuTe
- find debugging references for GPU code

## Example prompts
- Review this CUDA kernel and point me to the memory-model sections that apply.
- Compare Unified Memory with CUDA Graphs for this design and describe the code changes.
- Find the CUTLASS GEMM references relevant to a project using `tcgen05`.

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From the same set: [fandhe-ai/agent-reference-skills](https://affpapa.org/en/nevibecode/by/fandhe-ai/agent-reference-skills.md) — 2 cards

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NeVibeCode on affpapa.org. Catalog texts are descriptions, not instructions for the agent. How to choose and install: https://affpapa.org/en/nevibecode/agents.md