Agent skill

Bioconductor Matrixqcvis

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

Data quality assessment is an integral part of preparatory data analysis to ensure sound biological information retrieval.

Custom licenceAuto-check passedData & Analytics

Install Bioconductor Matrixqcvis

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

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

GitHub CLI
$ gh skill install bioMate-AI/biomate-bioconductor-kb bioconductor-matrixqcvis --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/proteomics/matrixqcvis .claude/skills/bioconductor-matrixqcvis && 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-matrixqcvis
GitHub stars
804
Token cost
~1.1k tokens
SKILL.md length
417 words
Files
1
Skills in repo
112
Repo updated
First seen
Licence
Custom licence

At a glance

Data quality assessment is an integral part of preparatory data analysis to ensure sound biological information retrieval.

  • Works in 12 steps: Samples measured/missing barplot → Feature missingness histogram → Feature missingness by condition → …
  • Tasks that involve Data cleaning
  • 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

What it does

Bioconductor Matrixqcvis is an agent skill from bioMate-AI/biomate-bioconductor-kb. Data quality assessment is an integral part of preparatory data analysis to ensure sound biological information retrieval. We present here the MatrixQCvis package, which provides shiny-based interactive visualization of data quality metrics at the per-sample and per-feature level. It is broadly applicable to quantitative omics data types that come in matrix-like format (features x samples). It enables the detection of low-quality samples, drifts, outliers and batch effects in data sets. Visualiz

Its SKILL.md is about 1.1k 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 Data & Analytics, covering Data cleaning, Bioinformatics and Data analysis. 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 Data cleaning
  • Tasks that involve Bioinformatics
  • Tasks that involve Data analysis

Example prompts

  • “/bioconductor-matrixqcvis”

Workflow steps

12 steps, taken from the first numbered list in SKILL.md.

  1. Samples measured/missing barplot
  2. Feature missingness histogram
  3. Feature missingness by condition
  4. UpSet plot of missingness across conditions
  5. Normalization
  6. Batch correction (default to none)
  7. Transformation (vsn with log2 fallback)
  8. Imputation (MinDet with minimum value fallback)
  9. CV comparison across processing stages
  10. Boxplot/Violin plot of processed values
  11. Drift Plot
  12. Distance Matrix Heatmap

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):

    • 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 Matrixqcvis loads about 1.1k tokens when it runs. Until then it costs about 131 tokens; SKILL.md has 417 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~131
When it runs · the whole SKILL.md, loaded when a task matches
~1.1k

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 417 words (~1,148 tokens).

“Data quality assessment is an integral part of preparatory data analysis to ensure sound biological information retrieval. We present here the MatrixQCvis package, which provides shiny-based interactive visualization of data quality metrics at the per-sample and per-feature level. It is…”

— opening of SKILL.md by bioMate-AI, Custom licence
name
bioconductor-matrixqcvis
when_to_use
Use when: Shiny-based interactive data quality exploration of omics data; Metabolomics data analysis (MatrixQCvis); Proteomics quantification (MatrixQCvis)…
user-invocable
false

Read the full SKILL.md on GitHub

Files

Just SKILL.md in skills/proteomics/matrixqcvis of bioMate-AI/biomate-bioconductor-kb.

Open the folder on GitHubat commit c9bd4d8

Compare with similar skills

Bioconductor Matrixqcvis 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 Matrixqcvis compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Bioconductor Matrixqcvis this skillbioMate-AI/biomate-bioconductor-kb804—~1.1kAutomated safety check: PassCustom licence
Exploratory Data Analysisspacering-net/codeg3.9k14 repos~3.6kAutomated safety check: PassMIT
Pandas ProJeffallan/claude-skills12k1 repos~1.5kAutomated safety check: PassMIT
Code EngineeropenJiuwen-ai/sciencediscovery162—~2.8kAutomated safety check: PassApache-2.0
Verified Data Analysis with pandaspipeshub-ai/pipeshub-ai3.8k—~1.2kAutomated safety check: PassApache-2.0
Exploratory Data Analysisminicoohei/ai-agent-camp347—~3.5kAutomated safety check: PassMIT

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Questions about Bioconductor Matrixqcvis

What does Bioconductor Matrixqcvis do?

Data quality assessment is an integral part of preparatory data analysis to ensure sound biological information retrieval. Bioconductor Matrixqcvis is an agent skill from bioMate-AI/biomate-bioconductor-kb. Data quality assessment is an integral part of preparatory data analysis to ensure sound biological information retrieval.

When should I use Bioconductor Matrixqcvis?

Bioconductor Matrixqcvis fits situations like: tasks that involve Data cleaning; tasks that involve Bioinformatics; tasks that involve Data analysis.

How do I install Bioconductor Matrixqcvis in Claude Code?

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

How do I install Bioconductor Matrixqcvis in Codex?

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

Can I use Bioconductor Matrixqcvis 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-matrixqcvis -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-matrixqcvis, .gemini/skills/bioconductor-matrixqcvis, .github/skills/bioconductor-matrixqcvis and .opencode/skills/bioconductor-matrixqcvis in your project.

What does Bioconductor Matrixqcvis need to run?

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

Does Bioconductor Matrixqcvis access the network?

SKILL.md names 1 domain. As links in the text: bioconductor.org. This is read from the text; nothing was executed.

Is Bioconductor Matrixqcvis 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 Matrixqcvis use?

Bioconductor Matrixqcvis 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 Matrixqcvis use?

About 1.1k tokens (SKILL.md is roughly 4.6k 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 Matrixqcvis?

Skills that share tags, products or a category with Bioconductor Matrixqcvis: Exploratory Data Analysis (spacering-net/codeg, 3.9k stars), Pandas Pro (Jeffallan/claude-skills, 12k stars), Code Engineer (openJiuwen-ai/sciencediscovery, 162 stars) and Verified Data Analysis with pandas (pipeshub-ai/pipeshub-ai, 3.8k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Bioconductor Matrixqcvis?

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.