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Sample Type Stratified Feature Masking

Category: Product  ·  Sub-category: product-misc  ·  Last updated:
Use when after feature detection but before statistical analysis, when your study includes blank samples (e.g., solvent or extraction blanks) and you want to remove features that fail to show meaningful enrichment in actual study samples relative to blank contamination.
Security AStatic scan found no risk patternsHow grading works ›

About this skill (catalog notes)

Sample Type Stratified Feature Masking includes explicit scope boundaries (an explicit 'when not to use' or 'out of scope' section); worked examples. The SKILL.md runs to about 894 words, in the catalog's typical mid-range.

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

How Sample Type Stratified Feature Masking fits the catalog

Sample Type Stratified Feature Masking sits in the Product category under the product-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

Sample Type Stratified Feature Masking is a community-contributed Claude Code skill in the product-misc sub-category. It ships as a SKILL.md file that Claude Code auto-discovers under ~/.claude/skills/sample-type-stratified-feature-masking/ and loads when your prompt matches the skill's trigger.

When to invoke it: Use when after feature detection but before statistical analysis, when your study includes blank samples (e.g.

Who uses this skill

The Sample Type Stratified Feature Masking Claude Code skill is built for product managers, product designers, and cross-functional teams planning, shipping, and measuring product features. 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/sample-type-stratified-feature-masking
curl -L https://claudskills.com/skills/sample-type-stratified-feature-masking/SKILL.md \
  -o ~/.claude/skills/sample-type-stratified-feature-masking/SKILL.md

Or just download SKILL.md directly and drop it into ~/.claude/skills/sample-type-stratified-feature-masking/. Claude Code auto-discovers it on next session.

Skills live at ~/.claude/skills/sample-type-stratified-feature-masking/SKILL.md on macOS/Linux, or %USERPROFILE%\.claude\skills\sample-type-stratified-feature-masking\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 Sample Type Stratified Feature Masking Claude Code skill?
Install via the ClaudSkills desktop app (one click) or copy SKILL.md from the source repository to ~/.claude/skills/sample-type-stratified-feature-masking/SKILL.md and restart Claude Code. Both flows are detailed at claudskills.com/install/.
What does the Sample Type Stratified Feature Masking skill do?
Use when after feature detection but before statistical analysis, when your study includes blank samples (e.g., solvent or extraction blanks) and you want to remove features that fail to show meaningful enrichment in actual study samples relative to blank contamination.
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 Sample Type Stratified Feature Masking skill?
Use Sample Type Stratified Feature Masking when your Claude Code task falls under the Product category — specifically in the product 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 Sample Type Stratified Feature Masking" or describe the task and let Claude pick). Browse related skills at /category/product/.
What is a Claude Code skill and how does the Sample Type Stratified Feature Masking 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. Sample Type Stratified Feature Masking is one of 67,000+ skills indexed in the open ClaudSkills catalog, classified under the Product 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). Sample Type Stratified Feature Masking [Claude Code skill]. ClaudSkills. https://claudskills.com/skills/sample-type-stratified-feature-masking/
BibTeX
@misc{sample-type-stratified-feature-masking-2026,
  author    = {HolobiomicsLab},
  title     = {Sample Type Stratified Feature Masking [Claude Code skill]},
  year      = {2026},
  publisher = {ClaudSkills},
  url       = {https://claudskills.com/skills/sample-type-stratified-feature-masking/}
}

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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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