ClaudSkills / Science & Research / math-stats

Perf Workload Profiling

Q: What is a Claude Code skill and how does the Perf Workload Profiling 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 Workload Profiling is one of 67,000+ skills indexed in the open ClaudSkills catalog, classified under the Science & Research category. Learn more at https://claudskills.com/learn/what-is-skill-md/.

Category: Science & Research · Sub-category: math-stats · Last updated: 2026-05-25

Code instrumentation for timing workloads. Two scenarios: (1) Training loop — inject manual timing to report per-iteration latency, throughput (samples/sec), and data load time. (2) Standalone kernel/op — write CUDA event timing code with warmup, per-iteration statistics, and anti-pattern avoidance. Also covers NVTX annotation for labeling profiler timelines. NOT for: running or analyzing profiler tools (nsys, ncu, Nsight Systems, Nsight Compute), writing kernels (Triton, CuTe, CUDA), applying optimizations (CUDA Graphs, gradient checkpointing, fusion), or interpreting roofline/SOL% metrics. Triggers: "measure throughput", "benchmark this function", "time my training loop", "samples per second", "NVTX annotate", "instrument my dataloader", "data load time", "kernel timing", "how do I time".

Security AStatic scan found no risk patternsHow grading works ›

About this skill (catalog notes)

Perf Workload Profiling includes pricing or quota commentary; at least one code block. The SKILL.md runs to about 829 words, in the catalog's typical mid-range.

Source: docs.nvidia.com/skills
Original author: NVIDIA
Indexed lastmod: 2026-05-25
Catalog position: Science & Research · math-stats
Indexed related skills: 10

How Perf Workload Profiling fits the catalog

Perf Workload Profiling sits in the Science & Research category under the math-stats 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.

What this skill does

Perf Workload Profiling is a community-contributed Claude Code skill in the math-stats sub-category. It ships as a SKILL.md file that Claude Code auto-discovers under ~/.claude/skills/perf-workload-profiling/ and loads when your prompt matches the skill's trigger.

Who uses this skill

The Perf Workload Profiling Claude Code skill is built for researchers, data scientists, academics, and analysts working with complex data and scientific literature. It's part of ClaudSkills (also referred to as Claude Skills or Claude Code Skills) — the open community-curated registry of 161,000+ 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-workload-profiling
curl -L https://claudskills.com/skills/perf-workload-profiling/SKILL.md \
  -o ~/.claude/skills/perf-workload-profiling/SKILL.md

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

Skills live at ~/.claude/skills/perf-workload-profiling/SKILL.md on macOS/Linux, or %USERPROFILE%\.claude\skills\perf-workload-profiling\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 Workload Profiling Claude Code skill?

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

What does the Perf Workload Profiling 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 Workload Profiling skill?

Use Perf Workload Profiling when your Claude Code task falls under the Science & Research category — specifically in the math stats 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 Workload Profiling" or describe the task and let Claude pick). Browse related skills at /category/science/.

What is a Claude Code skill and how does the Perf Workload Profiling 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 Workload Profiling is one of 67,000+ skills indexed in the open ClaudSkills catalog, classified under the Science & Research category. Learn more at /learn/what-is-a-claude-skill/.

Attribution & license

Source: https://github.com/NVIDIA/skills/blob/HEAD/skills/TensorRT-LLM/perf-workload-profiling/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 Workload Profiling [Claude Code skill]. ClaudSkills. https://claudskills.com/skills/perf-workload-profiling/

BibTeX

@misc{perf-workload-profiling-2026,
  author    = {NVIDIA},
  title     = {Perf Workload Profiling [Claude Code skill]},
  year      = {2026},
  publisher = {ClaudSkills},
  url       = {https://claudskills.com/skills/perf-workload-profiling/}
}

Embed this skill

Promote, attribute, or link this skill from your own README, blog post, or documentation. All three snippets are free to use — no sign-up, no API key. More distribution surfaces →

Badge

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Security scan

Grade A · scanned 2026-07-26 — 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-workload-profiling/#security)

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