Perf Torch Cuda Graphs

Q: What is a Claude Code skill and how does the Perf Torch Cuda Graphs skill fit in?

A Claude Code skill is a SKILL.md file that lives under ~/.claude/skills/<name>/ and tells the Claude Code CLI agent how to perform a specific task (instructions, prompts, allowed tools). Skills are auto-discovered at session start. Perf Torch Cuda Graphs is one of 67,000+ skills indexed in the open ClaudSkills catalog, classified under the Dev Tools category. Learn more at https://claudskills.com/learn/what-is-skill-md/.

Category: Dev Tools · Sub-category: tools-misc · Last updated: 2026-05-25

Apply CUDA Graphs to PyTorch workloads — API selection (torch.compile, PyTorch make_graphed_callables, TE make_graphed_callables, MCore CudaGraphManager, FullCudaGraphWrapper, manual torch.cuda.graph), code compatibility, capture workflows, dynamic pattern handling, and troubleshooting. Triggers: CUDA graph, torch.cuda.graph, make_graphed_callables, reduce-overhead, graph capture, graph replay, kernel launch overhead, CudaGraphManager, FullCudaGraphWrapper, full-iteration graph, stream capture.

Security AStatic scan found no risk patternsHow grading works ›

About this skill (catalog notes)

Perf Torch Cuda Graphs includes pricing or quota commentary; at least one code block. At roughly 2,865 words the SKILL.md is on the longer end of the catalog distribution.

Source: docs.nvidia.com/skills
Original author: NVIDIA
Indexed lastmod: 2026-05-25
Catalog position: Dev Tools · tools-misc
Indexed related skills: 10

How Perf Torch Cuda Graphs fits the catalog

Perf Torch Cuda Graphs sits in the Dev Tools category under the tools-misc sub-topic in the ClaudSkills catalog. There are 10 related skills indexed alongside it; comparing a few before installing usually reveals which fits your workflow best.

These notes are auto-generated from features detected in the SKILL.md file and from this catalog's structure — they aren't part of the source repository.

From the source SKILL.md

CUDA Graphs capture a sequence of GPU operations once and replay them with minimal CPU overhead. This skill guides applying CUDA Graphs to PyTorch training and inference workloads using native PyTorch APIs, Transformer Engine, and Megatron-LM.

What this skill does

Perf Torch Cuda Graphs is a community-contributed Claude Code skill in the tools-misc sub-category. It ships as a SKILL.md file that Claude Code auto-discovers under ~/.claude/skills/perf-torch-cuda-graphs/ and loads when your prompt matches the skill's trigger.

Who uses this skill

The Perf Torch Cuda Graphs Claude Code skill is built for developers, power users, and teams automating repetitive workflows and improving developer experience. It's part of ClaudSkills (also referred to as Claude Skills or Claude Code Skills) — the open community-curated registry of 154,000+ SKILL.md files for Anthropic's Claude Code agent and the wider Claude ecosystem (Claude API, Claude Agent SDK).

How to install

Free

Manual install (2 steps)

mkdir -p ~/.claude/skills/perf-torch-cuda-graphs
curl -L https://claudskills.com/skills/perf-torch-cuda-graphs/SKILL.md \
  -o ~/.claude/skills/perf-torch-cuda-graphs/SKILL.md

Or just download SKILL.md directly and drop it into ~/.claude/skills/perf-torch-cuda-graphs/. Claude Code auto-discovers it on next session.

Skills live at ~/.claude/skills/perf-torch-cuda-graphs/SKILL.md on macOS/Linux, or %USERPROFILE%\.claude\skills\perf-torch-cuda-graphs\SKILL.md on Windows. See the full install guide for step-by-step instructions.

📱 Install from your phone or desktop Telegram

Open @claudskills_bot on Telegram, tap Open Desktop App, and the desktop app installs this skill for you. Or share the bot link with a colleague — they get the same one-tap install. Learn more →

Pro

One-click install via the desktop app

The ClaudSkills desktop app installs any skill directly into ~/.claude/skills/ with one click — no terminal required. Pro starts at $9/mo or $149 lifetime.

Pro

For the full experience including quality scoring and one-click install features for each skill — upgrade to Pro.

See pricing → Download desktop app

Frequently asked questions

How do I install the Perf Torch Cuda Graphs Claude Code skill?

Install via the ClaudSkills desktop app (one click) or copy SKILL.md from the source repository to ~/.claude/skills/perf-torch-cuda-graphs/SKILL.md and restart Claude Code. Both flows are detailed at claudskills.com/install/.

What does the Perf Torch Cuda Graphs skill do?

Is this skill free to install?

Yes. ClaudSkills is an open registry — every skill keeps its source repository's license, and manual install via copy is free. ClaudSkills Pro ($9/mo, $79/yr, or $149 one-time) adds one-click install via the desktop app and a multi-signal Quality Score.

When should I use the Perf Torch Cuda Graphs skill?

Use Perf Torch Cuda Graphs when your Claude Code task falls under the Dev Tools category — specifically in the tools misc area. Claude Code auto-discovers installed skills and invokes the right one based on the task description, so you can also ask Claude directly (e.g. "use Perf Torch Cuda Graphs" or describe the task and let Claude pick). Browse related skills at /category/tools/.

What is a Claude Code skill and how does the Perf Torch Cuda Graphs skill fit in?

A Claude Code skill is a SKILL.md file that lives under ~/.claude/skills/<name>/ and tells the Claude Code CLI agent how to perform a specific task (instructions, prompts, allowed tools). Skills are auto-discovered at session start. Perf Torch Cuda Graphs is one of 67,000+ skills indexed in the open ClaudSkills catalog, classified under the Dev Tools category. Learn more at /learn/what-is-a-claude-skill/.

Attribution & license

Source: https://github.com/NVIDIA/skills/blob/HEAD/skills/TensorRT-LLM/perf-torch-cuda-graphs/SKILL.md
Author: NVIDIA
Website: https://docs.nvidia.com/skills

Cite this skill

If you reference this skill in a blog post, paper, or documentation, you can cite it as:

APA

NVIDIA. (2026). Perf Torch Cuda Graphs [Claude Code skill]. ClaudSkills. https://claudskills.com/skills/perf-torch-cuda-graphs/

BibTeX

@misc{perf-torch-cuda-graphs-2026,
  author    = {NVIDIA},
  title     = {Perf Torch Cuda Graphs [Claude Code skill]},
  year      = {2026},
  publisher = {ClaudSkills},
  url       = {https://claudskills.com/skills/perf-torch-cuda-graphs/}
}

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Security scan

Grade A · scanned 2026-07-20 — free static scan against the OWASP Agentic Skills Top 10.

No risk patterns were found in any of the ten OWASP-aligned categories. How grading works ›

✓ Prompt injection
✓ Data exfiltration
✓ Supply chain
✓ Reverse shell
✓ Credentials
✓ Execution
✓ Filesystem
✓ Persistence
✓ Obfuscation
✓ Network

Show this grade on your repo (click to copy):

[![Security: A](https://img.shields.io/badge/Security-A-2e7d32)](https://claudskills.com/skills/perf-torch-cuda-graphs/#security)

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