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ClaudSkills / Science & Research / math-stats

Principal Component Analysis Dimensionality Reduction

Category: Science & Research  ·  Sub-category: math-stats  ·  Last updated:
Use when your input is a normalized, centered gene expression matrix with many genes (e.g., 12,000+) and you need to validate whether reducing to a smaller number of principal components (e.g., 10) preserves pathway enrichment statistics (pathway scores and p-values from geseca or fgsea).
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About this skill (catalog notes)

Principal Component Analysis Dimensionality Reduction 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 986 words, in the catalog's typical mid-range.

Source
holobiomicslab.cnrs.fr
License
Apache-2.0
Original author
HolobiomicsLab
Indexed lastmod
Catalog position
Science & Research · math-stats
Indexed related skills
10

How Principal Component Analysis Dimensionality Reduction fits the catalog

Principal Component Analysis Dimensionality Reduction sits in the Science & Research category under the math-stats 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

Principal Component Analysis Dimensionality Reduction 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/principal-component-analysis-dimensionality-reduction/ and loads when your prompt matches the skill's trigger.

When to invoke it: Use when your input is a normalized, centered gene expression matrix with many genes (e.g.

Who uses this skill

The Principal Component Analysis Dimensionality Reduction 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 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/principal-component-analysis-dimensionality-reduction
curl -L https://claudskills.com/skills/principal-component-analysis-dimensionality-reduction/SKILL.md \
  -o ~/.claude/skills/principal-component-analysis-dimensionality-reduction/SKILL.md

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

Skills live at ~/.claude/skills/principal-component-analysis-dimensionality-reduction/SKILL.md on macOS/Linux, or %USERPROFILE%\.claude\skills\principal-component-analysis-dimensionality-reduction\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

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Frequently asked questions

How do I install the Principal Component Analysis Dimensionality Reduction Claude Code skill?
Install via the ClaudSkills desktop app (one click) or copy SKILL.md from the source repository to ~/.claude/skills/principal-component-analysis-dimensionality-reduction/SKILL.md and restart Claude Code. Both flows are detailed at claudskills.com/install/.
What does the Principal Component Analysis Dimensionality Reduction skill do?
Use when your input is a normalized, centered gene expression matrix with many genes (e.g., 12,000+) and you need to validate whether reducing to a smaller number of principal components (e.g., 10) preserves pathway enrichment statistics (pathway scores and p-values from geseca or fgsea).
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 Principal Component Analysis Dimensionality Reduction skill?
Use Principal Component Analysis Dimensionality Reduction when your Claude Code task falls under the Science & Research category — specifically in the math stats 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 Principal Component Analysis Dimensionality Reduction" or describe the task and let Claude pick). Browse related skills at /category/science/.
What is a Claude Code skill and how does the Principal Component Analysis Dimensionality Reduction 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. Principal Component Analysis Dimensionality Reduction is one of 67,000+ skills indexed in the open ClaudSkills catalog, classified under the Science & Research 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). Principal Component Analysis Dimensionality Reduction [Claude Code skill]. ClaudSkills. https://claudskills.com/skills/principal-component-analysis-dimensionality-reduction/
BibTeX
@misc{principal-component-analysis-dimensionality-reduction-2026,
  author    = {HolobiomicsLab},
  title     = {Principal Component Analysis Dimensionality Reduction [Claude Code skill]},
  year      = {2026},
  publisher = {ClaudSkills},
  url       = {https://claudskills.com/skills/principal-component-analysis-dimensionality-reduction/}
}

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