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name: bioskills description: "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." metadata: {"openclaw":{"requires":{"bins":["git"],"anyBins":["python3","Rscript"]},"os":["darwin","linux"],"emoji":"🧬"}}

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

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

Related Skills

After installation, 425 individual skills become available across these categories: sequence-io, sequence-manipulation, database-access, alignment, alignment-files, variant-calling, phylogenetics, differential-expression, structural-biology, single-cell, pathway-analysis, restriction-analysis, methylation-analysis, chip-seq, metagenomics, long-read-sequencing, read-qc, read-alignment, rna-quantification, genome-assembly, genome-intervals, data-visualization, expression-matrix, copy-number, proteomics, flow-cytometry, population-genetics, multi-omics-integration, spatial-transcriptomics, machine-learning, workflow-management, microbiome, metabolomics, phasing-imputation, primer-design, hi-c-analysis, imaging-mass-cytometry, atac-seq, crispr-screens, reporting, experimental-design, clinical-databases, tcr-bcr-analysis, small-rna-seq, epitranscriptomics, clip-seq, ribo-seq, genome-engineering, systems-biology, epidemiological-genomics, immunoinformatics, comparative-genomics, alternative-splicing, chemoinformatics, liquid-biopsy, genome-annotation, gene-regulatory-networks, causal-genomics, rna-structure, temporal-genomics, ecological-genomics, workflows