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Perf Workload Profiling

Category: Science & Research  ·  Sub-category: math-stats  ·  Last updated:
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".

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 70,000+ 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.

Pro

One-click install via the desktop app

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Pro

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Attribution & license

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/}
}

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