Agent skill

Bioconductor Easier

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

This package provides a workflow for the use of EaSIeR tool, developed to assess patients' likelihood to respond to ICB therapies providing just the patients' RNA-seq data as input.

Custom licenceAuto-check passedResearch & Science

Install Bioconductor Easier

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

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

GitHub CLI
$ gh skill install bioMate-AI/biomate-bioconductor-kb bioconductor-easier --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/easier .claude/skills/bioconductor-easier && 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-easier
GitHub stars
804
Token cost
~1.9k tokens
SKILL.md length
535 words
Files
1
Skills in repo
112
Repo updated
First seen
Licence
Custom licence

At a glance

This package provides a workflow for the use of EaSIeR tool, developed to assess patients' likelihood to respond to ICB therapies providing just the patients' RNA-seq data as input.

  • Tasks that involve Bioinformatics
  • 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 Machine learning

What it does

Bioconductor Easier is an agent skill from bioMate-AI/biomate-bioconductor-kb. This package provides a workflow for the use of EaSIeR tool, developed to assess patients' likelihood to respond to ICB therapies providing just the patients' RNA-seq data as input. We integrate RNA-seq data with different types of prior knowledge to extract quantitative descriptors of the tumor microenvironment from several points of view, including composition of the immune repertoire, and activity of intra- and extra-cellular communications. Then, we use multi-task machine learning trained in

Its SKILL.md is about 1.9k 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 Bioinformatics and Machine learning. 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 Bioinformatics
  • Tasks that involve Machine learning

Example prompts

  • “likelihood to respond to ICB therapies providing just the patients”
  • “/bioconductor-easier”

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 Easier loads about 1.9k tokens when it runs. Until then it costs about 130 tokens; SKILL.md has 535 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~130
When it runs · the whole SKILL.md, loaded when a task matches
~1.9k

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 535 words (~1,851 tokens).

“This package provides a workflow for the use of EaSIeR tool, developed to assess patients' likelihood to respond to ICB therapies providing just the patients' RNA-seq data as input. We integrate RNA-seq data with different types of prior knowledge to…”

— opening of SKILL.md by bioMate-AI, Custom licence
name
bioconductor-easier
when_to_use
Use when: This package provides a workflow for the use of EaSIeR tool, developed to assess patients' likelihood to respond to ICB; easier User Manual with…
user-invocable
false

Read the full SKILL.md on GitHub

Files

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

Open the folder on GitHubat commit c9bd4d8

Compare with similar skills

Bioconductor Easier 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 Easier compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Bioconductor Easier this skillbioMate-AI/biomate-bioconductor-kb804—~1.9kAutomated safety check: PassCustom licence
tangermeme Genomic Model Analysisjmschrei/tangermeme318—~1.6kAutomated safety check: PassMIT
Gtars Genomic Interval Toolkitdavila7/claude-code-templates33k11 repos~1.9kAutomated safety check: PassMIT
AlphagenomeK-Dense-AI/scientific-agent-skills48k1 repos~4.4kAutomated safety check: NotesMIT
Bio Atac Seq Consensus PeaksetGPTomics/bioSkills1.2k2 repos~5kAutomated safety check: PassMIT
Bio Spatial Transcriptomics Spatial PreprocessingFreedomIntelligence/OpenClaw-Medical-Skills3.1k1 repos~2kAutomated safety check: PassNone

Similar skills

  • Routes agents to the right tangermeme reference for analyzing trained genomic deep learning models, from attributions and motif experiments to variant effects and design.

    318 GitHub stars~1.6k tokensUpdated 3 days ago
    Research & ScienceAuto-check passed
  • Gtars Genomic Interval Toolkit

    davila7/claude-code-templates

    Works with genomic intervals using gtars, a Rust toolkit with Python bindings: overlap detection, coverage tracks, tokenization for ML models and reference sequences.

    33k GitHub starsUsed in 11 repos~1.9k tokens
    Research & ScienceAuto-check passed
  • Alphagenome

    K-Dense-AI/scientific-agent-skills

    Looks up precomputed AlphaGenome Atlas effects for any GRCh38 single-nucleotide variant (AVI score with Phred and 18 SHAP feature attributions, plus raw and quantile scores for RNA-seq, DNase, ATAC…

    48k GitHub starsUsed in 1 repo~4.4k tokens
    Research & ScienceAuto-check: notes
  • Build a differential-ready consensus peakset from per-replicate ATAC-seq peaks using iterative overlap removal, fixed-width re-centering, and majority-rule overlap.

    1.2k GitHub starsUsed in 2 repos~5k tokens
    Research & ScienceAuto-check passed
  • Bio Spatial Transcriptomics Spatial Preprocessing

    FreedomIntelligence/OpenClaw-Medical-Skills

    Quality control, filtering, normalization, and feature selection for spatial transcriptomics data.

    3.1k GitHub starsUsed in 1 repo~2k tokens
    Research & ScienceAuto-check passed
  • Bio Clip Seq M6a Clip

    GPTomics/bioSkills

    Map N6-methyladenosine (m6A) RNA modifications at single-nucleotide resolution using miCLIP (Linder 2015), miCLIP2 + m6Aboost machine learning (Kortel 2021), GLORI (Liu 2023, antibody-free chemical…

    1.2k GitHub starsUsed in 2 repos~5.7k tokens
    Research & ScienceAuto-check passed

More from bioMate-AI/biomate-bioconductor-kb

All 112 skills in this repo
  • Bioconductor Annotationhub

    bioMate-AI/biomate-bioconductor-kb

    This package provides a client for the Bioconductor AnnotationHub web resource.

    804 GitHub stars~2.9k tokensUpdated 3 mo ago
    Auto-check passed
  • Bioconductor Asurat

    bioMate-AI/biomate-bioconductor-kb

    ASURAT is a software for single-cell data analysis. An agent skill from bioMate-AI/biomate-bioconductor-kb.

    804 GitHub stars~1.4k tokensUpdated 3 mo ago
    Auto-check passed
  • Bioconductor Awst

    bioMate-AI/biomate-bioconductor-kb

    We propose an Asymmetric Within-Sample Transformation (AWST) to regularize RNA-seq read counts and reduce the effect of noise on the classification of samples.

    804 GitHub stars~1.1k tokensUpdated 3 mo ago
    Auto-check passed
  • Bioconductor Bandle

    bioMate-AI/biomate-bioconductor-kb

    The Bandle package enables the analysis and visualisation of differential localisation experiments using mass-spectrometry data.

    804 GitHub stars~1.3k tokensUpdated 3 mo ago
    Auto-check passed
  • Bioconductor Batchelor

    bioMate-AI/biomate-bioconductor-kb

    Implements a variety of methods for batch correction of single-cell (RNA sequencing) data.

    804 GitHub stars~4.3k tokensUpdated 3 mo ago
    Auto-check passed
  • Bioconductor Beer

    bioMate-AI/biomate-bioconductor-kb

    BEER implements a Bayesian model for analyzing phage-immunoprecipitation sequencing (PhIP-seq) data.

    804 GitHub stars~1.3k tokensUpdated 3 mo ago
    Auto-check passed

Questions about Bioconductor Easier

What does Bioconductor Easier do?

This package provides a workflow for the use of EaSIeR tool, developed to assess patients' likelihood to respond to ICB therapies providing just the patients' RNA-seq data as input. Bioconductor Easier is an agent skill from bioMate-AI/biomate-bioconductor-kb. This package provides a workflow for the use of EaSIeR tool, developed to assess patients' likelihood to respond to ICB therapies providing just the patients' RNA-seq data as input.

When should I use Bioconductor Easier?

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

How do I install Bioconductor Easier in Claude Code?

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

How do I install Bioconductor Easier in Codex?

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

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

What does Bioconductor Easier need to run?

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

Does Bioconductor Easier 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 Easier 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 Easier use?

Bioconductor Easier 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 Easier use?

About 1.9k tokens (SKILL.md is roughly 7.4k 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 Easier?

Skills that share tags, products or a category with Bioconductor Easier: tangermeme Genomic Model Analysis (jmschrei/tangermeme, 318 stars), Gtars Genomic Interval Toolkit (davila7/claude-code-templates, 33k stars), Alphagenome (K-Dense-AI/scientific-agent-skills, 48k stars) and Bio Atac Seq Consensus Peakset (GPTomics/bioSkills, 1.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Bioconductor Easier?

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.