Agent Skills by BioTender-max
There are 18 agent skills in our directory.
BioTender-max publishes 18 AI agent skills in our directory. Browse them below — each links back to its source repository.
Updated June 2026
- alphafold2-multimer>MIT
- Bio Image Processing Skills Index|
- bio-population-genetics-plink-basicsPLINK file formats, format conversion, and quality control filtering for population genetics. Convert between VCF, BED/BIM/FAM, and PED/MAP formats, apply MAF, genotyping rate, and HWE filters using PLINK 1.9 and 2.0. Use when working with PLINK format files or running QC.
- bio-sam-bam-basicsView, convert, and understand SAM/BAM/CRAM alignment files using samtools and pysam. Use when inspecting alignments, converting between formats, or understanding alignment file structure.
- drugbank-query>
- esm2-sequence-scoring>MIT
- General Data Analysis Skills Index|
- Genetic Variant Annotation
- nutrigx-advisorPersonalised nutrition report from consumer genetic data (23andMe, AncestryDNA, VCF) — interrogates nutritionally-relevantMIT
- omics-target-evidence-mapperAggregate public target-level evidence across omics and translational sources for research triage.MIT
- OpenST Skills Index|
- PCR Primer Design
- Pooled CRISPR Screen Analysis
- Presentation Skills Index|
- query-alphafoldQuery AlphaFold protein structure predictions. Use when user asks about protein structure, 3D structure, protein folding, or structure prediction. Triggers on "alphafold", "protein structure", "3D structure", "folding", "pLDDT", "structure prediction".
- robert-g-edwards-perspective|
- SKILL
- tooluniverse-single-cellProduction-ready single-cell and expression matrix analysis using scanpy, anndata, and scipy. Performs scRNA-seq QC, normalization, PCA, UMAP, Leiden/Louvain clustering, differential expression (Wilcoxon, t-test, DESeq2), cell type annotation, per-cell-type statistical analysis, gene-expression correlation, batch correction (Harmony), trajectory inference, and cell-cell communication analysis. NEW: Analyzes ligand-receptor interactions between cell types using OmniPath (CellPhoneDB, CellChatDB), scores communication strength, identifies signaling cascades, and handles multi-subunit receptor complexes. Integrates with ToolUniverse gene annotation tools (HPA, Ensembl, MyGene, UniProt) and enrichment tools (gseapy, PANTHER, STRING). Supports h5ad, 10X, CSV/TSV count matrices, and pre-annotated datasets. Use when analyzing single-cell RNA-seq data, studying cell-cell interactions, performing cell type differential expression, computing gene-expression correlations by cell type, analyzing tumor-immune communication, or answering questions about scRNA-seq datasets.