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Bayesian Meta Learning Chromatographic Projection

Category: Science & Research  ·  Sub-category: math-stats  ·  Last updated:
Use when you have experimental retention times (RTs) for a small set of calibration molecules (≥10) measured on both a source chromatographic method and a target method, and you need to predict RTs for candidate metabolites on the target method to rank annotation candidates.
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About this skill (catalog notes)

Bayesian Meta Learning Chromatographic Projection 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 1,127 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 Bayesian Meta Learning Chromatographic Projection fits the catalog

Bayesian Meta Learning Chromatographic Projection 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

Bayesian Meta Learning Chromatographic Projection 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/bayesian-meta-learning-chromatographic-projection/ and loads when your prompt matches the skill's trigger.

When to invoke it: Use when you have experimental retention times (RTs) for a small set of calibration molecules (≥10) measured on both a source chromatographic method and a target method, and you need to predict RTs for candidate metabolites on the target method to rank annotation candidates.

Who uses this skill

The Bayesian Meta Learning Chromatographic Projection 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/bayesian-meta-learning-chromatographic-projection
curl -L https://claudskills.com/skills/bayesian-meta-learning-chromatographic-projection/SKILL.md \
  -o ~/.claude/skills/bayesian-meta-learning-chromatographic-projection/SKILL.md

Or just download SKILL.md directly and drop it into ~/.claude/skills/bayesian-meta-learning-chromatographic-projection/. Claude Code auto-discovers it on next session.

Skills live at ~/.claude/skills/bayesian-meta-learning-chromatographic-projection/SKILL.md on macOS/Linux, or %USERPROFILE%\.claude\skills\bayesian-meta-learning-chromatographic-projection\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 Bayesian Meta Learning Chromatographic Projection Claude Code skill?
Install via the ClaudSkills desktop app (one click) or copy SKILL.md from the source repository to ~/.claude/skills/bayesian-meta-learning-chromatographic-projection/SKILL.md and restart Claude Code. Both flows are detailed at claudskills.com/install/.
What does the Bayesian Meta Learning Chromatographic Projection skill do?
Use when you have experimental retention times (RTs) for a small set of calibration molecules (≥10) measured on both a source chromatographic method and a target method, and you need to predict RTs for candidate metabolites on the target method to rank annotation candidates.
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 Bayesian Meta Learning Chromatographic Projection skill?
Use Bayesian Meta Learning Chromatographic Projection 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 Bayesian Meta Learning Chromatographic Projection" or describe the task and let Claude pick). Browse related skills at /category/science/.
What is a Claude Code skill and how does the Bayesian Meta Learning Chromatographic Projection 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. Bayesian Meta Learning Chromatographic Projection 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). Bayesian Meta Learning Chromatographic Projection [Claude Code skill]. ClaudSkills. https://claudskills.com/skills/bayesian-meta-learning-chromatographic-projection/
BibTeX
@misc{bayesian-meta-learning-chromatographic-projection-2026,
  author    = {HolobiomicsLab},
  title     = {Bayesian Meta Learning Chromatographic Projection [Claude Code skill]},
  year      = {2026},
  publisher = {ClaudSkills},
  url       = {https://claudskills.com/skills/bayesian-meta-learning-chromatographic-projection/}
}

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

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