A curated collection of AI agent skills for biomedical research, covering genomics, proteomics, single-cell analysis, clinical AI, and protein design.
# Add to your Claude Code skills
git clone https://github.com/BioTender-max/awesome-bio-agent-skillsGuides for using ai agents skills like awesome-bio-agent-skills.
awesome-bio-agent-skills is an open-source ai agents skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by BioTender-max. A curated collection of AI agent skills for biomedical research, covering genomics, proteomics, single-cell analysis, clinical AI, and protein design. It has 70 GitHub stars.
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Clone the repository with "git clone https://github.com/BioTender-max/awesome-bio-agent-skills" and add it to your Claude Code skills directory (see the Installation section above).
awesome-bio-agent-skills is primarily written in Python. It is open-source under BioTender-max on GitHub, so you can review or fork the full source.
Yes. SkillsLLM lists many other AI Agents skills you can browse and compare side by side. Open the AI Agents category from the badge at the top of this page, or use the Related Skills and comparison links further down to weigh awesome-bio-agent-skills against similar tools.
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# One-time use (no install required)
npx bioskill install
# Or install globally for repeated use
npm install -g bioskill
bioskill install
A curated collection of AI agent skills for biomedical research, covering genomics, proteomics, single-cell analysis, clinical AI, and protein design.
1,676 deduplicated skills from 20 open-source repositories, organized into 15 categories. Each skill is a self-contained SKILL.md folder compatible with Claude-based agent frameworks (OpenClaw, NanoClaw, Biomni).
526 skills — WGS/WES analysis, variant annotation, GWAS, CNV, structural variants, haplotype phasing, genome assembly.
| Skill | Source | Description |
|---|---|---|
| bio-alignment-amplicon-clipping | bioskills | Trim PCR primers from aligned reads in amplicon-panel BAMs using samtools ampliconclip. Use when processing SARS-CoV-2 ARTIC, hereditary cancer pan... |
| bio-alignment-filtering | bioskills | Filter alignments by flags, mapping quality, and regions using samtools view and pysam. Use when extracting specific reads, removing low-quality al... |
| bio-alignment-indexing | bioskills | Create and use BAI/CSI indices for BAM/CRAM files using samtools and pysam. Use when enabling random access to alignment files or fetching specific... |
| bio-alignment-io | bioskills | Read, write, and convert multiple sequence alignment files using Biopython Bio.AlignIO. Supports Clustal, PHYLIP, Stockholm, FASTA, Nexus, and othe... |
| bio-alignment-msa-parsing | bioskills | Parse and analyze multiple sequence alignments using Biopython. Extract sequences, identify conserved regions, analyze gaps, work with annotations,... |
| bio-alignment-msa-statistics | bioskills | Calculate alignment statistics including sequence identity, conservation scores, substitution matrices, and similarity metrics. Use when comparing... |
| bio-alignment-multiple | bioskills | Perform multiple sequence alignment using MAFFT, MUSCLE5, ClustalOmega, or T-Coffee. Guides tool and algorithm selection based on dataset size, seq... |
| bio-alignment-pairwise | bioskills | Perform pairwise sequence alignment using Biopython Bio.Align.PairwiseAligner. Use when comparing two sequences, finding optimal alignments, scorin... |
| bio-alignment-sorting | bioskills | Sort alignment files by coordinate or read name using samtools and pysam. Use when preparing BAM files for indexing, variant calling, or paired-end... |
| bio-alignment-structural | bioskills | Align protein structures using Foldseek 3Di, TM-align, US-align, DALI, or Foldmason for structural MSA. Predict, score, and superpose backbone coor... |
| bio-alignment-trimming | bioskills | Trim multiple sequence alignments using ClipKIT, trimAl, BMGE, Divvier, or HMMcleaner with mode selection guidance per downstream goal. Use when re... |
| bio-alignment-validation | bioskills | Validate alignment quality with insert size distribution, proper pairing rates, GC bias, strand balance, and other post-alignment metrics. Use when... |
| bio-atac-seq-allele-specific-accessibility | bioskills | Detect allele-specific chromatin accessibility from ATAC-seq using WASP, GATK ASEReadCounter, or RASQUAL. Use when mapping cis-regulatory genetic v... |
| bio-atac-seq-atac-peak-calling | bioskills | Call accessible chromatin regions from ATAC-seq BAM files using MACS3, MACS2, Genrich, or HMMRATAC. Use when identifying open chromatin from aligne... |
| bio-atac-seq-consensus-peakset | bioskills | Build a differential-ready consensus peakset from per-replicate ATAC-seq peaks using iterative overlap removal, fixed-width re-centering, and major... |
| bio-bam-statistics | bioskills | Generate alignment statistics using samtools flagstat, stats, depth, coverage, and mosdepth. Use when assessing alignment quality, calculating cove... |
| bio-basecalling | bioskills | Convert raw Nanopore signal data (FAST5/POD5) to nucleotide sequences using Dorado basecaller. Covers model selection, GPU acceleration, modified b... |
| bio-bedgraph-handling | bioskills | Create, manipulate, and convert bedGraph files for genome browser visualization. Covers bedGraph format, conversion to/from bigWig, normalization,... |
| bio-biomart-queries | bioskills | Bulk-query Ensembl BioMart (and other BioMart instances) for cross-database ID mapping, gene/transcript/exon coordinates, and ortholog tables. Use... |
| bio-causal-genomics-colocalization-analysis | bioskills | Test whether two or more traits share a causal variant at a locus using Bayesian colocalization (coloc.abf, coloc.susie, HyPrColoc, moloc, eCAVIAR,... |
| bio-causal-genomics-effector-gene-prioritization | bioskills | Maps GWAS-implicated loci to candidate effector (causal) genes by integrating variant-to-gene (V2G) features via Open Targets L2G (Mountjoy 2021),... |
| bio-causal-genomics-fine-mapping | bioskills | Resolves GWAS associations to candidate causal variants and credible sets via SuSiE, susie_rss, FINEMAP, CAVIAR, DAP-G, PAINTOR, PolyFun, SuSiEx, M... |
| bio-causal-genomics-genetic-correlation | bioskills | Estimate bivariate genetic correlation (rg) between traits from GWAS summary statistics or individual-level genotypes using cross-trait LDSC, HDL,... |
| bio-causal-genomics-genomic-sem | bioskills | Fits structural equation models to GWAS summary statistics using GenomicSEM (Grotzinger 2019), including common-factor models, confirmatory factor... |
| bio-causal-genomics-mediation-analysis | bioskills | Decompose total effects into direct and indirect paths through mediators using mediation, CMAverse 4-way, HIMA/HIMA2 high-dimensional, BAMA, two-st... |
| bio-causal-genomics-mendelian-randomization | bioskills | Estimate causal effects of an exposure on an outcome from GWAS summary statistics using genetic instruments. Implements IVW (fixed/random), MR-Egge... |
| bio-causal-genomics-pleiotropy-detection | bioskills | Detect and adjust for horizontal pleiotropy in two-sample Mendelian randomization by distinguishing uncorrelated (UHP) from correlated (CHP) pleiot... |
| bio-causal-genomics-proteome-mr-drug-target | bioskills | Runs cis-pQTL Mendelian randomization for drug-target validation using UKB-PPP (Olink), deCODE (SomaScan), Fenland, INTERVAL, ARIC, and FinnGen-PPP... |
| bio-causal-genomics-transcriptome-wide-association | bioskills | P |