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Score Standardisation Z Score Normalization

Category: General  ·  Sub-category: general-misc  ·  Last updated:
Use when when comparing raw link scores (strain correlation or IOKR) across different GCF-MF or BGC-spectrum pairs and you need to distinguish true positive links from background noise. Raw scores depend on overlap size and are incomparable across links with different cluster sizes;
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About this skill (catalog notes)

Score Standardisation Z Score Normalization includes explicit scope boundaries (an explicit 'when not to use' or 'out of scope' section); worked examples; at least one code block. The SKILL.md runs to about 1,079 words, in the catalog's typical mid-range.

Source
holobiomicslab.cnrs.fr
License
Apache-2.0
Original author
HolobiomicsLab
Indexed lastmod
Catalog position
General · general-misc
Indexed related skills
10

How Score Standardisation Z Score Normalization fits the catalog

Score Standardisation Z Score Normalization 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

Score Standardisation Z Score Normalization 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/score-standardisation-z-score-normalization/ and loads when your prompt matches the skill's trigger.

When to invoke it: Use when when comparing raw link scores (strain correlation or IOKR) across different GCF-MF or BGC-spectrum pairs and you need to distinguish true positive links from background noise.

Who uses this skill

The Score Standardisation Z Score Normalization 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 146,000+ 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/score-standardisation-z-score-normalization
curl -L https://claudskills.com/skills/score-standardisation-z-score-normalization/SKILL.md \
  -o ~/.claude/skills/score-standardisation-z-score-normalization/SKILL.md

Or just download SKILL.md directly and drop it into ~/.claude/skills/score-standardisation-z-score-normalization/. Claude Code auto-discovers it on next session.

Skills live at ~/.claude/skills/score-standardisation-z-score-normalization/SKILL.md on macOS/Linux, or %USERPROFILE%\.claude\skills\score-standardisation-z-score-normalization\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 Score Standardisation Z Score Normalization Claude Code skill?
Install via the ClaudSkills desktop app (one click) or copy SKILL.md from the source repository to ~/.claude/skills/score-standardisation-z-score-normalization/SKILL.md and restart Claude Code. Both flows are detailed at claudskills.com/install/.
What does the Score Standardisation Z Score Normalization skill do?
Use when when comparing raw link scores (strain correlation or IOKR) across different GCF-MF or BGC-spectrum pairs and you need to distinguish true positive links from background noise. Raw scores depend on overlap size and are incomparable across links with different cluster sizes;
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 Score Standardisation Z Score Normalization skill?
Use Score Standardisation Z Score Normalization 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 Score Standardisation Z Score Normalization" or describe the task and let Claude pick). Browse related skills at /category/general/.
What is a Claude Code skill and how does the Score Standardisation Z Score Normalization 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. Score Standardisation Z Score Normalization 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
HolobiomicsLab. (2026). Score Standardisation Z Score Normalization [Claude Code skill]. ClaudSkills. https://claudskills.com/skills/score-standardisation-z-score-normalization/
BibTeX
@misc{score-standardisation-z-score-normalization-2026,
  author    = {HolobiomicsLab},
  title     = {Score Standardisation Z Score Normalization [Claude Code skill]},
  year      = {2026},
  publisher = {ClaudSkills},
  url       = {https://claudskills.com/skills/score-standardisation-z-score-normalization/}
}

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Security scan

Grade A · scanned 2026-07-06 — free static scan against the OWASP Agentic Skills Top 10.

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