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Preprocess Imaging

Category: General  ·  Sub-category: operations  ·  Last updated:
type:audittype:generator
Design or audit the data-preparation stage of a medical-imaging model — DICOM/NIfTI intake, resampling and intensity normalisation, and the augmentation plan — so the pipeline is leakage-safe before model-scaffold builds the training repo. Emits a declarative preprocessing manifest and a deterministic data-stage leakage gate that catches the leaks a split table cannot see: a dataset-level normaliser fit on non-train data, any data-fitted transform run before the split, and the same patient's slices crossing splits. Integrates MONAI / TorchIO transforms; it does not reimplement them, and it never runs preprocessing on real patient data.
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About this skill (catalog notes)

Preprocess Imaging includes explicit scope boundaries (an explicit 'when not to use' or 'out of scope' section); at least one code block. The SKILL.md runs to about 773 words, in the catalog's typical mid-range.

Source
aperivue.com/skills
Original author
Aperivue
Indexed lastmod
Catalog position
General · operations
Indexed related skills
10

How Preprocess Imaging fits the catalog

Preprocess Imaging sits in the General category under the operations 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

Preprocess Imaging is a community-contributed Claude Code skill in the operations sub-category. It ships as a SKILL.md file that Claude Code auto-discovers under ~/.claude/skills/preprocess-imaging/ and loads when your prompt matches the skill's trigger.

Who uses this skill

The Preprocess Imaging 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 157,000+ 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/preprocess-imaging
curl -L https://claudskills.com/skills/preprocess-imaging/SKILL.md \
  -o ~/.claude/skills/preprocess-imaging/SKILL.md

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

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

Telegram

📱 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.

Frequently asked questions

How do I install the Preprocess Imaging Claude Code skill?
Install via the ClaudSkills desktop app (one click) or copy SKILL.md from the source repository to ~/.claude/skills/preprocess-imaging/SKILL.md and restart Claude Code. Both flows are detailed at claudskills.com/install/.
What does the Preprocess Imaging skill do?
Design or audit the data-preparation stage of a medical-imaging model — DICOM/NIfTI intake, resampling and intensity normalisation, and the augmentation plan — so the pipeline is leakage-safe before model-scaffold builds the training repo. Emits a declarative preprocessing manifest and a deterministic data-stage leakage gate that catches the leaks a split table cannot see: a dataset-level normaliser fit on non-train data, any data-fitted transform run before the split, and the same patient's slices crossing splits. Integrates MONAI / TorchIO transforms; it does not reimplement them, and it never runs preprocessing on real patient data.
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 Preprocess Imaging skill?
Use Preprocess Imaging when your Claude Code task falls under the General category — specifically in the operations 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 Preprocess Imaging" or describe the task and let Claude pick). Browse related skills at /category/general/.
What is a Claude Code skill and how does the Preprocess Imaging 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. Preprocess Imaging 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

Cite this skill

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

APA
Aperivue. (2026). Preprocess Imaging [Claude Code skill]. ClaudSkills. https://claudskills.com/skills/preprocess-imaging/
BibTeX
@misc{preprocess-imaging-2026,
  author    = {Aperivue},
  title     = {Preprocess Imaging [Claude Code skill]},
  year      = {2026},
  publisher = {ClaudSkills},
  url       = {https://claudskills.com/skills/preprocess-imaging/}
}

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