Agent skill

Bioconductor Tdbasedufeadv

by bioMate-AI in bioMate-AI/biomate-bioconductor-kb

This is an advanced version of TDbasedUFE, which is a comprehensive package to perform Tensor decomposition based unsupervised feature extraction.

Custom licenceAuto-check passedResearch & Science

Install Bioconductor Tdbasedufeadv

skills CLI
$ npx skills add bioMate-AI/biomate-bioconductor-kb --skill bioconductor-tdbasedufeadv -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install bioMate-AI/biomate-bioconductor-kb bioconductor-tdbasedufeadv --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/bioMate-AI/biomate-bioconductor-kb.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/transcriptomics/tdbasedufeadv .claude/skills/bioconductor-tdbasedufeadv && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
bioconductor-tdbasedufeadv
GitHub stars
804
Token cost
~1.8k tokens
SKILL.md length
445 words
Files
1
Skills in repo
112
Repo updated
First seen
Licence
Custom licence

At a glance

This is an advanced version of TDbasedUFE, which is a comprehensive package to perform Tensor decomposition based unsupervised feature extraction.

  • Tasks that involve Machine learning
  • SKILL.md covers Workflows, When to Use, When NOT to Use and Data Requirements, plus 6 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Tasks that involve Bioinformatics

What it does

Bioconductor Tdbasedufeadv is an agent skill from bioMate-AI/biomate-bioconductor-kb. This is an advanced version of TDbasedUFE, which is a comprehensive package to perform Tensor decomposition based unsupervised feature extraction. In contrast to TDbasedUFE which can perform simple the feature selection and the multiomics analyses, this package can perform more complicated and advanced features, but they are not so popularly required. Only users who require more specific features can make use of its functionality.

Its SKILL.md is about 1.8k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Research & Science, covering Machine learning and Bioinformatics. The repository describes itself as: BioMate-KB Bioconductor Skills — 200 packages (top 100 by downloads + 100 rising stars) as vignette-grounded Claude/agent skills, with per-package workflow recipes.

When your agent uses it

  • Tasks that involve Machine learning
  • Tasks that involve Bioinformatics

Example prompts

  • “/bioconductor-tdbasedufeadv”

What it can do on your machine

Read from SKILL.md and the folder at commit c9bd4d8. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are r).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Links to these hosts (documentation or services it may open):

    • doi.org
    • bioconductor.org

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Bioconductor Tdbasedufeadv loads about 1.8k tokens when it runs. Until then it costs about 115 tokens; SKILL.md has 445 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~115
When it runs · the whole SKILL.md, loaded when a task matches
~1.8k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 445 words (~1,783 tokens).

“Integrate two omics datasets sharing the same features using memory-efficient SVD with partial summation.”

— opening of SKILL.md by bioMate-AI, Custom licence
name
bioconductor-tdbasedufeadv
when_to_use
Use when: Enrichment; Explanation of TDbasedUFEadv; How to use TDbasedUFEadv; Single-cell RNA-seq analysis (TDbasedUFEadv). Not for: Requires R ≥ 4.0.0 and…
user-invocable
false

Read the full SKILL.md on GitHub

Files

Just SKILL.md in skills/transcriptomics/tdbasedufeadv of bioMate-AI/biomate-bioconductor-kb.

Open the folder on GitHubat commit c9bd4d8

Compare with similar skills

Bioconductor Tdbasedufeadv next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Bioconductor Tdbasedufeadv compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Bioconductor Tdbasedufeadv this skillbioMate-AI/biomate-bioconductor-kb804—~1.8kAutomated safety check: PassCustom licence
Gtars Genomic Interval Toolkitdavila7/claude-code-templates33k11 repos~1.9kAutomated safety check: PassMIT
Bio Spatial Transcriptomics Spatial PreprocessingFreedomIntelligence/OpenClaw-Medical-Skills3.1k1 repos~2kAutomated safety check: PassNone
Bio Clip Seq M6a ClipGPTomics/bioSkills1.2k2 repos~5.7kAutomated safety check: PassMIT
External Model Validationaipoch/medical-research-skills1.9k—~3.2kAutomated safety check: PassMIT
Bio Imaging Mass Cytometry Data PreprocessingGPTomics/bioSkills1.2k1 repos~4.2kAutomated safety check: PassMIT

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Questions about Bioconductor Tdbasedufeadv

What does Bioconductor Tdbasedufeadv do?

This is an advanced version of TDbasedUFE, which is a comprehensive package to perform Tensor decomposition based unsupervised feature extraction. Bioconductor Tdbasedufeadv is an agent skill from bioMate-AI/biomate-bioconductor-kb. This is an advanced version of TDbasedUFE, which is a comprehensive package to perform Tensor decomposition based unsupervised feature extraction.

When should I use Bioconductor Tdbasedufeadv?

Bioconductor Tdbasedufeadv fits situations like: tasks that involve Machine learning; tasks that involve Bioinformatics.

How do I install Bioconductor Tdbasedufeadv in Claude Code?

Run `npx skills add bioMate-AI/biomate-bioconductor-kb --skill bioconductor-tdbasedufeadv -a claude-code`. Or copy the skill folder (skills/transcriptomics/tdbasedufeadv in bioMate-AI/biomate-bioconductor-kb) into .claude/skills/bioconductor-tdbasedufeadv in your project. Claude Code loads it when a task matches its description.

How do I install Bioconductor Tdbasedufeadv in Codex?

Run `npx skills add bioMate-AI/biomate-bioconductor-kb --skill bioconductor-tdbasedufeadv -a codex`. Or copy the skill folder (skills/transcriptomics/tdbasedufeadv in bioMate-AI/biomate-bioconductor-kb) into .agents/skills/bioconductor-tdbasedufeadv in your project. Codex loads it when a task matches its description.

Can I use Bioconductor Tdbasedufeadv in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add bioMate-AI/biomate-bioconductor-kb --skill bioconductor-tdbasedufeadv -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/bioconductor-tdbasedufeadv, .gemini/skills/bioconductor-tdbasedufeadv, .github/skills/bioconductor-tdbasedufeadv and .opencode/skills/bioconductor-tdbasedufeadv in your project.

What does Bioconductor Tdbasedufeadv need to run?

SKILL.md names no scripts, command-line tools or credentials: Bioconductor Tdbasedufeadv is instructions for the agent only.

Does Bioconductor Tdbasedufeadv access the network?

SKILL.md names 2 domains. As links in the text: doi.org and bioconductor.org. This is read from the text; nothing was executed.

Is Bioconductor Tdbasedufeadv safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Bioconductor Tdbasedufeadv use?

Bioconductor Tdbasedufeadv has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.

How many tokens does Bioconductor Tdbasedufeadv use?

About 1.8k tokens (SKILL.md is roughly 7.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Bioconductor Tdbasedufeadv?

Skills that share tags, products or a category with Bioconductor Tdbasedufeadv: Gtars Genomic Interval Toolkit (davila7/claude-code-templates, 33k stars), Bio Spatial Transcriptomics Spatial Preprocessing (FreedomIntelligence/OpenClaw-Medical-Skills, 3.1k stars), Bio Clip Seq M6a Clip (GPTomics/bioSkills, 1.2k stars) and External Model Validation (aipoch/medical-research-skills, 1.9k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Bioconductor Tdbasedufeadv?

bioMate-AI (a GitHub organization) maintains it in bioMate-AI/biomate-bioconductor-kb, which has 804 GitHub stars. The repository holds 112 skills in this directory. The repository was last updated on June 20, 2026.

Source: bioMate-AI/biomate-bioconductor-kb on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.