Inference Perf Tune Report

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

Category: General · Sub-category: general-misc · Last updated: 2026-06-15

Build a multi-page benchmark report PDF (scatter panels + per-concurrency heatmap tables) from `vllm bench sweep serve_workload` and/or AIPerf outputs, in the GLM-5.1 reference layout (5x2 scatter facet by max_num_batched_tokens + 3x2 heatmap tables for C={8,16,32} x {tok/s/GPU, TTFT}. First-class failed/partial cells). Also renders the cross-engine (vLLM + SGLang) CHAMPION page 8: baseline vs top-X variants + the overlaid roofline + a RECOMMENDED-FOR-PRODUCTION pick via `champion_select`. Backed by the `perf_tune_report` CLI library. Triggers on "build a perf report", "render the atlas PDF", "perf-report campaign", "glm5p1-style report", "pareto report", "perftunereport smoke", "champion selection", "which variant to ship", "production champion", "baseline vs top variants", or any combination of "perf / atlas / report / champion" with "inference / vllm / sglang / aiperf / b200 / gb300 / nvfp4 / fp8".

About this skill (catalog notes)

Inference Perf Tune Report includes a dedicated installation section; worked examples; pricing or quota commentary. At roughly 3,484 words the SKILL.md is on the longer end of the catalog distribution.

License: MIT
Original author: cfregly
Indexed lastmod: 2026-06-15
Catalog position: General · general-misc
Indexed related skills: 10

How Inference Perf Tune Report fits the catalog

Inference Perf Tune Report sits in the General category under the general-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.

What this skill does

Inference Perf Tune Report is a community-contributed Claude Code skill in the general-misc sub-category. It ships as a SKILL.md file that Claude Code auto-discovers under ~/.claude/skills/inference-perf-tune-report/ and loads when your prompt matches the skill's trigger.

Who uses this skill

The Inference Perf Tune Report 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 117,000+ 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/inference-perf-tune-report
curl -L https://claudskills.com/skills/inference-perf-tune-report/SKILL.md \
  -o ~/.claude/skills/inference-perf-tune-report/SKILL.md

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

Skills live at ~/.claude/skills/inference-perf-tune-report/SKILL.md on macOS/Linux, or %USERPROFILE%\.claude\skills\inference-perf-tune-report\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 Inference Perf Tune Report Claude Code skill?

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

What does the Inference Perf Tune Report 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 Inference Perf Tune Report skill?

Use Inference Perf Tune Report when your Claude Code task falls under the General category — specifically in the general 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 Inference Perf Tune Report" or describe the task and let Claude pick). Browse related skills at /category/general/.

What is a Claude Code skill and how does the Inference Perf Tune Report 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. Inference Perf Tune Report is one of 67,000+ skills indexed in the open ClaudSkills catalog, classified under the General category. Learn more at /learn/what-is-a-claude-skill/.

Attribution & license

Source: https://github.com/cfregly/claude-perf-tune/blob/HEAD/plugins/profile-and-optimize/skills/inference-perf-tune-report/SKILL.md
License: MIT
Author: cfregly

Cite this skill

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

APA

cfregly. (2026). Inference Perf Tune Report [Claude Code skill]. ClaudSkills. https://claudskills.com/skills/inference-perf-tune-report/

BibTeX

@misc{inference-perf-tune-report-2026,
  author    = {cfregly},
  title     = {Inference Perf Tune Report [Claude Code skill]},
  year      = {2026},
  publisher = {ClaudSkills},
  url       = {https://claudskills.com/skills/inference-perf-tune-report/}
}

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