SkillsAdd

gptomics/bioskills · Archived

clawhub-installer

Installs 425 bioinformatics skills covering sequence analysis, RNA-seq, single-cell, variant calling, metagenomics, structural biology, and 56 more categories.

First seen Aug 12, 2026

Installation

$ npx skills add gptomics/bioskills --skill clawhub-installer
View on skills.sh ↗ GitHub repository ↗

Summary

  • Installs 425 bioinformatics skills covering sequence analysis, RNA-seq, single-cell, variant calling, metagenomics, structural biology, and 56 more categories.
  • Use when setting up bioinformatics capabilities or when a bioinformatics task requires specialized skills not yet installed.

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Also in this package

Other skills from gptomics/bioskills · top by installs.

npx skills add gptomics/bioskills
bioskills 243 bio-single-cell-batch-integration 7 bio-workflows-rnaseq-to-de 6 bio-workflows-scrnaseq-pipeline 6 bio-metagenomics-kraken 5 bio-pathway-reactome 5 bio-data-visualization-genome-tracks 5 bio-read-qc-fastp-workflow 5 bio-data-visualization-specialized-omics-plots 5 bio-data-visualization-multipanel-figures 5

Browse all from gptomics/bioskills

More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

Claude Code Not declared
Cursor Not declared
Codex Not declared
GitHub Copilot Not declared
Windsurf Not declared
Gemini CLI Not declared
Cline Not declared
OpenCode Not declared

Repository health

Stars 1.2K
License LICENSE
Default branch main
Open issues 0
Status Archived

Skill metadata

Parsed from SKILL.md frontmatter.

Declared agents clawdbot

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 3,156 B
  • docs SUMMARY.md 309 B

History

  1. First seen on skills.sh
  2. First recorded snapshot · 10 installs

SKILL.md

bioSkills Installer

Meta-skill that installs the full bioSkills collection (425 skills across 62 categories) for bioinformatics analysis.

Installation

Run the bundled install script to download and install all bioSkills:

bash scripts/install-bioskills.sh

Or install only specific categories:

bash scripts/install-bioskills.sh --categories "single-cell,variant-calling,differential-expression"

What Gets Installed

425 skills across 62 categories covering:

  • Sequence & Alignment (40): sequence-io, sequence-manipulation, alignment, alignment-files, database-access
  • Read Processing (11): read-qc, read-alignment
  • RNA-seq & Expression (14): differential-expression, rna-quantification, expression-matrix
  • Single-Cell & Spatial (25): single-cell, spatial-transcriptomics
  • Variant Analysis (21): variant-calling, copy-number, phasing-imputation
  • Epigenomics (25): chip-seq, atac-seq, methylation-analysis, hi-c-analysis
  • Metagenomics & Microbiome (13): metagenomics, microbiome
  • Genomics & Assembly (29): genome-assembly, genome-annotation, genome-intervals, genome-engineering, primer-design
  • Regulatory & Causal (13): gene-regulatory-networks, causal-genomics, rna-structure
  • Temporal & Ecological (11): temporal-genomics, ecological-genomics
  • Immunology & Clinical (25): immunoinformatics, clinical-databases, tcr-bcr-analysis, epidemiological-genomics
  • Specialized Omics (36): proteomics, metabolomics, alternative-splicing, chemoinformatics, liquid-biopsy
  • RNA Biology (20): small-rna-seq, epitranscriptomics, clip-seq, ribo-seq
  • Phylogenetics & Evolution (16): phylogenetics, population-genetics, comparative-genomics
  • Structural & Systems (11): structural-biology, systems-biology
  • Screens & Cytometry (22): crispr-screens, flow-cytometry, imaging-mass-cytometry
  • Pathway & Integration (14): pathway-analysis, multi-omics-integration, restriction-analysis
  • Infrastructure (39): data-visualization, machine-learning, workflow-management, reporting, experimental-design, long-read-sequencing
  • Workflows (40): end-to-end pipelines (FASTQ to results)

After Installation

Once installed, skills are automatically triggered based on the task at hand. Example requests:

  • "I have RNA-seq counts from treated vs control samples - find the differentially expressed genes"
  • "Call variants from this whole genome sequencing BAM file"
  • "Cluster my single-cell RNA-seq data and find marker genes"
  • "Predict the structure of this protein sequence"
  • "Run a metagenomics classification on these shotgun reads"

Source

GitHub: https://github.com/GPTomics/bioSkills