A curated collection of AI agent skills for biomedical research, covering genomics, proteomics, single-cell analysis, clinical AI, and protein design.
개요
A curated collection of AI agent skills for biomedical research, covering genomics, proteomics, single-cell analysis, clinical AI, and protein design.
README
Awesome Bio Agent Skills
A curated collection of AI agent skills for biomedical research, covering genomics, proteomics, single-cell analysis, clinical AI, and protein design.
Now tracking NVIDIA BioNeMo Agent Toolkit, Claude Science built-in skills, and the emerging ecosystem of agent-callable tools for life sciences.
1,722 deduplicated skills from 22 open-source repositories, organized into 16 categories. Each skill is a self-contained SKILL.md folder compatible with Claude-based agent frameworks (OpenClaw, NanoClaw, Biomni).
About BioTender
This project is created and maintained by BioTender.
BioTender is a Chinese AI-for-Biology intelligence and media platform covering protein design, structure prediction, virtual cells, AI drug discovery, biological foundation models, scientific agents, AI4Bio startups, and frontier research.
- Website: https://www.biotender.online/
- About: https://www.biotender.online/about/
- Scholar Program: https://www.biotender.online/scholar-program.html
Contents
- Genomics
- Proteomics
- Single-Cell Analysis
- Biology and AI
- Clinical and Medical
- Transcriptomics
- Database Query
- Multi-Omics Integration
- Bioinformatics Utilities
- Visualization
- Workflow Orchestration
- Epigenomics
- Pathway Analysis
- Metagenomics
- Protein Design
- NVIDIA BioNeMo Skills
- Claude Science Skills
- Sources
Genomics
526 skills — WGS/WES analysis, variant annotation, GWAS, CNV, structural variants, haplotype phasing, genome assembly.
Proteomics
167 skills — mass spectrometry analysis, structure prediction, protein design, binding affinity optimization.
Single-Cell Analysis
144 skills — preprocessing, clustering, cell type annotation, trajectory inference, cell communication, multimodal integration.
Biology and AI
236 skills — medical AI, clinical decision support, drug discovery, general biological tools.
Clinical and Medical
152 skills — EHR analysis, clinical trial design, drug interactions, precision medicine, adverse event detection.
Transcriptomics
97 skills — RNA-seq full pipeline, differential expression, alternative splicing, lncRNA, small RNA.
Database Query
63 skills — UniProt, PDB, KEGG, Reactome, GEO, ClinVar, Ensembl, STRING.
Multi-Omics Integration
69 skills — MOFA, DIABLO, single-cell multimodal, spatial transcriptomics.
Bioinformatics Utilities
86 skills — sequence analysis, BLAST, tool chains, pipeline management.
Visualization
48 skills — volcano plots, heatmaps, PCA/UMAP, interactive charts.
Workflow Orchestration
38 skills — Snakemake, Nextflow, CWL, WDL.
Epigenomics
19 skills — ChIP-seq, ATAC-seq, DNA methylation, Hi-C, chromatin state.
Pathway Analysis
15 skills — KEGG, Reactome, GO, GSEA.
| Skill | Source | Description |
|---|---|---|
| bio-pathway-enrichment-visualization | bioskills | Visualize enrichment results using enrichplot package functions. Use when creating publication-quality figures from clusterProfiler results. Covers… |
| bio-pathway-kegg-pathways | bioskills | KEGG pathway and module enrichment analysis using clusterProfiler enrichKEGG and enrichMKEGG. Use when identifying metabolic and signaling pathways… |
| bio-pathway-reactome | bioskills | Reactome pathway enrichment using ReactomePA package. Use when analyzing gene lists against Reactome’s curated peer-reviewed pathway database. Perf… |
| bio-pathway-wikipathways | bioskills | WikiPathways enrichment using clusterProfiler and rWikiPathways. Use when analyzing gene lists against community-curated open-source pathways. Perf… |
| gsea-enrichment-analysis | openclaw | Gene set enrichment analysis with correct geneset format handling. Critical guidance for loading pathway databases and running enrichment in OmicVe… |
| ontology-explorer | openclaw | Parse, navigate, and query materials science ontology structure (classes, properties, hierarchy). Use when exploring an ontology like CMSO, underst… |
| ontology-mapper | openclaw | Map materials science terms, crystal structures, and sample descriptions to ontology classes and properties. Supports any ontology registered in on… |
| ontology-validator | openclaw | Validate material sample annotations and data structures against ontology constraints. Use when checking if CMSO annotations are correct, verifying… |
| tooluniverse-gene-enrichment | openclaw | Perform comprehensive gene enrichment and pathway analysis using gseapy (ORA and GSEA), PANTHER, STRING, Reactome, and 40+ ToolUniverse tools. Supp… |
| query-kegg | bioclaw | Query KEGG for biological pathways and gene info. Use when user asks about metabolic pathways, signaling pathways, pathway genes, or KEGG IDs. Trig… |
| query-reactome | bioclaw | Query Reactome for biological pathways and reactions. Use when user asks about signaling cascades, biological processes, pathway diagrams, or react… |
| generate-image | kdense | Generate or edit images using AI models (FLUX, Nano Banana 2). Use for general-purpose image generation including photos, illustrations, artwork, v… |
| scientific-schematics | kdense | Create publication-quality scientific diagrams using Nano Banana 2 AI with smart iterative refinement. Uses Gemini 3.1 Pro Preview for quality revi… |
| conn-tool | neuroclaw | Use this skill whenever the user wants to perform advanced functional connectivity (ROI-to-ROI, seed-to-voxel, ICA) or effective connectivity (PPI,… |
| Functional Enrichment Analysis (GSEA + ORA) | omicsclaw | Perform functional enrichment analysis using clusterProfiler on differential expression results with GSEA and ORA. |
Metagenomics
9 skills — 16S/ITS amplicon, Kraken2, MetaPhlAn, QIIME2.
| Skill | Source | Description |
|---|---|---|
| bio-blast-searches | bioskills | Run remote BLAST searches against NCBI servers using Biopython Bio.Blast.NCBIWWW. Use when identifying unknown sequences, finding homologs, picking… |
| bio-crispr-screens-screen-qc | bioskills | Quality control for pooled CRISPR screens covering library representation, Gini index, log-skew, replicate Pearson and Spearman concordance, essent… |
| bio-microbiome-qiime2-workflow | bioskills | QIIME2 command-line workflow for 16S/ITS amplicon analysis. Alternative to DADA2/phyloseq R workflow with built-in provenance tracking. Use when pr… |
| bio-microbiome-taxonomy-assignment | bioskills | Taxonomic classification of ASVs using reference databases like SILVA, GTDB, or UNITE. Covers naive Bayes classifiers (DADA2, IDTAXA) and exact mat… |
| microbiome-cancer-agent | openclaw | AI-powered analysis of microbiome-cancer interactions including tumor microbiome profiling, immunotherapy response prediction, and microbiome-targe… |
| meg-skill | neuroclaw | Use this skill whenever the user wants to process MEG (magnetoencephalography) data including source localization, time-frequency analysis, connect… |
| wmh-segmentation | neuroclaw | Use this skill whenever the user wants to perform automated white matter hyperintensity (WMH) segmentation on structural MRI data using the MARS-WM… |
| bio-annotation | omics | Functional annotation and taxonomy inference from sequence homology. |
| tracking-taxonomy-updates | omics | Track and reconcile taxonomy updates across NCBI, GTDB, ICTV, and community eukaryote frameworks with versioned provenance. |
Protein Design
7 skills — RFDiffusion, ProteinMPNN, Boltz, Chai, LigandMPNN.
| Skill | Source | Description |
|---|---|---|
| bio-clip-seq-m6a-clip | bioskills | Map N6-methyladenosine (m6A) RNA modifications at single-nucleotide resolution using miCLIP (Linder 2015), miCLIP2 + m6Aboost machine learning (Kor… |
| bio-tcr-bcr-analysis-immcantation-analysis | bioskills | Analyze BCR repertoires for somatic hypermutation, clonal lineages, and B cell phylogenetics using the Immcantation framework. Use when studying B… |
| mage-antibody-generator | openclaw | Ab seq forge |
| ligandmpnn | adaptyv | Ligand-aware protein sequence design using LigandMPNN. Use this skill when: (1) Designing sequences around small molecules, (2) Enzyme active site… |
| rfdiffusion | adaptyv | Generate protein backbones using RFdiffusion, a diffusion-based generative model for de novo protein structure generation. Use this skill when: (1)… |
| solublempnn | adaptyv | Solubility-optimized protein sequence design using SolubleMPNN. Use this skill when: (1) Designing for E. coli expression, (2) Optimizing solubilit… |
| generate_scientific_method_section | labclaw | Automated SCI-standard Methods section generator from experiment execution records. Parses LabOS skill call chains, structured JSON logs (extract_e… |
NVIDIA BioNeMo Skills
17 skills — Official NVIDIA BioNeMo NIM API skills for protein structure prediction, molecular generation, and genomics.
Source: NVIDIA-BioNeMo/bionemo-agent-toolkit · License: Apache-2.0 (code) / CC-BY-4.0 (skills)
Claude Science Skills
29 skills — Reverse-engineered Claude Science built-in skills covering biomolecular modeling, genomics, single-cell analysis, literature synthesis, and scientific compute workflows.
Source: JimLiu/science-skills · License: Apache-2.0 · Reverse-engineered from Claude Science · Synced: fb309c3 (2026-07-01)
Sources
This collection aggregates and deduplicates skills from the following open-source repositories:
| Repository | Skills | Focus |
|---|---|---|
| GPTomics/bioSkills | 536 | Systematic bioinformatics suite from QC to multi-omics. |
| FreedomIntelligence/OpenClaw-Medical-Skills | 359 | Medical AI library aggregating 12 specialized sub-repositories. |
| jaechang-hits/SciAgent-Skills | 154 | Scientific agent skills for statistics, databases, and clinical decisions. |
| K-Dense-AI/scientific-agent-skills | 102 | General scientific computing and HPC workflow skills. |
| CUHK-AIM-Group/NeuroClaw | 86 | Neuroimaging skills: sMRI, fMRI, dMRI, EEG with BIDS, FreeSurfer, FSL, fMRIPrep. CUHK AIM Group. |
| ClawBio/ClawBio | 63 | Bioinformatics workflow orchestration for GWAS and single-cell. |
| wu-yc/LabClaw | 59 | Lab automation and biomedical research skills. Stanford-Princeton AI Co-Scientists. |
| QSong-github/DrugClaw | 57 | Drug intelligence skills: DTI, ADR, DDI, pharmacogenomics, repurposing. LangGraph-powered. |
| ChrisLou-bioinfo/nobel-medicine-minds | 55 | Cognitive frameworks of 52 Nobel Medicine laureates (2004–2025) as runnable SKILL.md files. |
| zongtingwei/Bioclaw_Skills_Hub | 46 | Ten-category biological skills hub. |
| Runchuan-BU/BioClaw | 37 | Core bioinformatics tools and database query skills. |
| fmschulz/omics-skills | 29 | Single-cell and spatial omics specialized skills. |
| TianGzlab/OmicsClaw | 28 | 6-omics domain skills: spatial, scRNA-seq, bulk RNA-seq, genomics, proteomics, metabolomics. |
| adaptyvbio/protein-design-skills | 21 | Full protein design toolkit: RFDiffusion, ProteinMPNN, Boltz, Chai. |
| aristoteleo/PantheonOS | 18 | Single-cell and spatial transcriptomics skills. Dynamo/Spateo team. |
| EvoScientist/EvoSkills | 13 | Research-lifecycle skills: ideation, paper planning, experiment execution, writing, and review. |
| xjtulyc/MedgeClaw | 7 | Biomedical research skills with real-time dashboard, RStudio, and JupyterLab integration. |
| zamushwani2/biomedical-ai-skills | 4 | Cancer multi-omics analysis skills in R. |
| ArcInstitute/SRAgent | 1 | Intelligent SRA and GEO dataset retrieval. |
| NVIDIA-BioNeMo/bionemo-agent-toolkit | 17 | Official NVIDIA BioNeMo NIM skills: Boltz-2, DiffDock, OpenFold2/3, RFdiffusion, ProteinMPNN, GenMol, Evo2, MolMIM, Parabricks. |
| JimLiu/science-skills | 29 | Reverse-engineered Claude Science built-in skills: structure prediction, design, genomics, single-cell, literature, and compute. |
| BioTender-max/awesome-bio-agent-skills | 1 | Self-referential hub skill that indexes this collection (browse & install entry point). |
Skill Format
Each skill is a self-contained folder with a SKILL.md file defining domain knowledge, tool usage, and expected outputs. Compatible with any Claude-based agent framework supporting the SKILL.md convention.
skills/
└── /
└── /
├── SKILL.md # Skill definition (required)
└── ... # Supporting files
Quick install:
git clone https://github.com/BioTender-max/awesome-bio-agent-skills.git
cp -r awesome-bio-agent-skills/skills/* /path/to/your/agent/skills/
A machine-readable index of all 1,693 skills is available in bioskill_index_v3.csv.
Star History
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추천 도구
다른 키워드를 입력하거나 필터를 제거해 보세요.
설치
npx skillfish add biotender-max/awesome-bio-agent-skills