How do I install the Perf Host Analysis Claude Code skill?

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

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.

ClaudSkills / General / business-ops

Perf Host Analysis

Category: General · Sub-category: business-ops · Last updated: 2026-05-25

Analyze host/CPU overhead in TensorRT-LLM inference from nsys traces. Detect whether host overhead is the bottleneck using GPU idle ratio, host prep exposed ratio, and per-phase evidence. For regressions, isolate forward steps via allreduce/NVTX patterns, compare host operation breakdowns across versions, and identify scheduling or request-management overhead. Supports optional inter-kernel gap, eager-vs-graph, pattern mapping, and multi-rank straggler drill-down. Use standalone or within perf-analysis. Triggers: host overhead, inter-step gap, scheduling overhead, forward step isolation, nsys iteration analysis, NVTX breakdown, request management overhead, GPU idle, host bottleneck, host prep exposed, inter-kernel gap, bubble analysis, graph coverage, eager kernel, rank imbalance, straggler detection.

From the source SKILL.md

Analyze host/CPU overhead in TensorRT-LLM inference workloads from nsys traces. This skill operates in two phases:

What this skill does

Perf Host Analysis is a community-contributed Claude Code skill in the business-ops sub-category. It ships as a SKILL.md file that Claude Code auto-discovers under ~/.claude/skills/perf-host-analysis/ and loads when your prompt matches the skill's trigger.

Who uses this skill

The Perf Host Analysis Claude Code skill is built for Claude Code users and developers across all disciplines looking for general-purpose AI assistance. 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-host-analysis
curl -L https://claudskills.com/skills/perf-host-analysis/SKILL.md \
  -o ~/.claude/skills/perf-host-analysis/SKILL.md

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

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

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

Attribution & license

Source: https://github.com/NVIDIA/skills/blob/HEAD/skills/TensorRT-LLM/perf-host-analysis/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 Host Analysis [Claude Code skill]. ClaudSkills. https://claudskills.com/skills/perf-host-analysis/

BibTeX

@misc{perf-host-analysis-2026,
  author    = {NVIDIA},
  title     = {Perf Host Analysis [Claude Code skill]},
  year      = {2026},
  publisher = {ClaudSkills},
  url       = {https://claudskills.com/skills/perf-host-analysis/}
}

Embed this skill

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Badge

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