bioSkills Bioinformatics Suite for Openclaw

A massive meta-skill collection providing 425 specialized bioinformatics capabilities for AI agents across 62 distinct research categories.

djemec
v3.0.0
Feb 14, 2026
4
2.4k
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install bioskills

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install bioskills using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is bioSkills Bioinformatics Suite?

bioSkills is a comprehensive meta-skill library designed to turn your AI coding agent into a powerful bioinformatics powerhouse. By integrating these Openclaw Skills, developers and researchers can automate complex biological data processing tasks ranging from sequence alignment to structural biology. The suite acts as an installer for a vast ecosystem of tools, ensuring your agent has the right domain-specific knowledge to handle genomic, transcriptomic, and proteomic data natively.

This package is essential for researchers looking to bridge the gap between AI automation and high-throughput biological analysis. Whether you are working on single-cell sequencing or clinical database integration, this collection of Openclaw Skills provides the necessary infrastructure to execute sophisticated pipelines via natural language commands.

bioSkills Bioinformatics Suite Use Cases

  • Processing RNA-seq counts to identify differentially expressed genes between treated and control samples.
  • Automated variant calling from whole genome sequencing (WGS) BAM files.
  • Clustering single-cell RNA-seq data and performing marker gene identification.
  • Executing metagenomics classification on shotgun sequencing reads.
  • Predicting 3D protein structures from amino acid sequences.

How bioSkills Bioinformatics Suite Works

  1. The user runs the provided installation script which fetches the meta-repository containing all 425 tool definitions.
  2. The system verifies local dependencies such as git, python3, or Rscript required for bioinformatics computations.
  3. Upon successful installation, the individual Openclaw Skills are registered and become available for the AI agent to call.
  4. When the agent receives a bioinformatics-related prompt, it searches the installed library to trigger the most relevant skill for the task.
  5. The agent executes the underlying bioinformatics scripts (Bash, Python, or R) and returns the scientific results or visualizations.

bioSkills Bioinformatics Suite Setup

To install the full suite of bioinformatics Openclaw Skills, run the bundled installation script:

bash scripts/install-bioskills.sh

For users who only require specific domains, you can perform a filtered installation by passing category flags:

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

bioSkills Bioinformatics Suite Data Schema & Taxonomy

The skill suite organizes its vast library into a structured taxonomy of 62 categories. The primary data organization is as follows:

Data Layer Description
Category Groups 18 High-level groups (e.g., Epigenomics, Phylogenetics, Infrastructure)
Individual Skills 425 Specific scripts and tool wrappers
Formats Handles standard bio formats: FASTQ, BAM, VCF, GFF3, and Expression Matrices
Metadata Includes OS requirements (Linux/Darwin) and binary dependencies (R, Python, Git)

bioSkills Bioinformatics Suite Advanced Features

  • Support for 40+ end-to-end automated workflows that manage data from raw FASTQ to final results.
  • Multi-category selective installation to minimize environment footprint.
  • Integration with specialized omics including liquid biopsy, chemoinformatics, and spatial transcriptomics.
  • Advanced machine learning and data visualization hooks for reporting biological insights.
  • Cross-platform support for both Linux and macOS research environments within Openclaw Skills.

SKILL.md


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METADATA

Requires
Bins git
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