BioTender-max

BioTender-max / awesome-bio-agent-skills

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A curated collection of AI agent skills for biomedical research, covering genomics, proteomics, single-cell analysis, clinical AI, and protein design.

ai-agent awesome awesome-list bioinformatics biomedical
15
3
89% credibility
Found May 28, 2026 at 15 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

This repository is a curated library of 1,629 AI agent skills specifically designed for biomedical research. Think of it as a specialized toolbox that gives AI assistants the ability to help with tasks like analyzing genetic data, predicting protein structures, finding clinical trials, studying cellular patterns, and profiling microbial communities. The skills are organized into 15 categories covering genomics, proteomics, single-cell analysis, clinical AI, drug discovery, and more. Each skill is self-contained and ready to use with AI frameworks that support the SKILL.md format. The collection aggregates and deduplicates skills from 19 open-source repositories, making it a comprehensive one-stop resource for researchers who want AI-powered assistance with bioinformatics tasks.

How It Works

1
🔬 You discover a powerful research toolbox

You hear about a collection of 1,600+ ready-made research skills that can help your AI assistant tackle biomedical problems—from analyzing genes to designing proteins.

2
📚 You explore the organized skill categories

The collection is neatly organized into 15 categories: genomics, proteomics, single-cell analysis, clinical research, drug discovery, and more. You browse to find what you need.

3
🧩 You pick the perfect skill for your project

Whether you're studying protein structures, screening for drug interactions, analyzing patient data, or profiling microbial communities—there's a skill ready to help.

4
🤖 You connect the skills to your AI assistant

You install the skills into your AI assistant framework. The skills work with Claude-based agents, giving your assistant new superpowers for biomedical research.

5
Different research paths are available
🧪
Analyze genes and proteins

Study DNA sequences, predict how proteins fold, and understand genetic variations

🏥
Work with clinical data

Search trials, analyze patient records, and explore drug interactions safely

🦠
Profile microorganisms

Identify bacteria, study antibiotic resistance, and understand microbial communities

6
📊 Your AI produces reports and visualizations

The skills generate professional reports, charts, and data tables that you can use directly in your research papers or presentations.

✅ Your research moves forward faster

What used to take days of specialized work now happens in minutes. Your AI assistant handles the technical analysis while you focus on interpreting results and making discoveries.

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AI-Generated Review

What is awesome-bio-agent-skills?

This is a curated collection of 1,629 AI agent skills specifically designed for biomedical research. Think of it as a skill library that lets AI agents handle bioinformatics tasks like variant calling, protein structure prediction, single-cell analysis, and clinical trial search. The skills come as self-contained modules that plug into Claude-based agent frameworks like OpenClaw and NanoClaw. Built in Python, it aggregates and deduplicates content from 19 different open-source repositories, organizing everything into 15 categories covering everything from genomics to metabolomics. A machine-readable index file makes it easy to search and install specific capabilities.

Why is it gaining traction?

The biomedical AI space is fragmented, with researchers cobbling together scripts and tools from dozens of sources. This project centralizes that chaos into one searchable collection. The real value is the breadth: one minute you can ask an agent to run a GWAS pipeline, the next to query UniProt or generate a volcano plot. The skills follow a consistent format, so they compose well together. The SEC analysis pipeline included in the codebase demonstrates the kind of end-to-end workflows you can build, complete with PDF report generation and publication-quality visualizations.

Who should use this?

Bioinformatics developers building AI-powered research tools will find the most value here. If you're constructing an agent that needs to navigate genomic data, predict protein structures, or analyze EHR records, these skills provide ready-made capabilities. Computational biologists tired of reinventing standard pipelines for every project could also benefit. Researchers working with large language models in the life sciences who want to add domain-specific reasoning without building everything from scratch.

Verdict

This is a promising resource for a niche that badly needs consolidation. With only 15 stars, the community traction is minimal right now, and the credibility score of 0.9% reflects that early-stage status. Documentation quality varies across the aggregated sources, and there's no unified test coverage. That said, the sheer scope of covered domains and the plug-and-play skill format make it worth watching. If you're building biomedical AI agents today, this is worth a closer look, but treat it as a curated starting point rather than production-ready infrastructure.

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