This document provides a comprehensive overview of all available skills in the OpenBioMed toolkit.
Last Updated: 2026-03-19
| Total Skills |
|---|
| 45 |
| Name | Category | Usage | Status |
|---|---|---|---|
| drug-candidate-discovery | Drug Discovery | Generate diverse druggable molecules for a given target or disease using AI-powered drug discovery tools including target identification, structure retrieval, and molecule generation. | |
| drug-lead-analysis | Drug Discovery | Analyze drug candidate molecules for drug-likeness (QED, Lipinski), ADMET properties, BBB penetration, and safety profiles. | Recommended |
| target-based-lead-design | Drug Discovery | Generate diverse lead compounds for a specific protein target using structure-based drug design with MolCraft. Includes docking, ADMET filtering, diversity selection, and iterative refinement. | Recommended |
| admet-prediction | ADMET Prediction | Predict comprehensive ADMET properties (BBB penetration, side effects, Caco-2 permeability, half-life, LD50 toxicity) for drug candidates using GraphMVP ensemble models. | Recommended |
| retrosynthesis-planning | Synthetic Chemistry | Expert-in-the-loop retrosynthetic planning workflow for breaking down target molecules into available starting materials and designing synthetic routes with AiZynthFinder integration. | Recommended |
| iupac-name-identification-biot5 | Drug Discovery | Identify the IUPAC name of a molecule using BioT5 question answering model. | |
| molecule-biochemical-significance-query-biot5 | Multi-Modal Reasoning | Query a molecule's biochemical significance and roles in biology and chemistry using BioT5 multi-modal model. | |
| text-based-molecule-editing | Drug Discovery | Modify molecules based on natural language descriptions using MolT5/BioT5 models for property optimization (solubility, potency, drug-likeness). | |
| target-drug-report | Drug Discovery | Generate comprehensive drug development progress reports for disease therapeutic targets with 7 analysis sections including clinical pipeline, research trends, and patent landscape. | |
| disease-drug-intelligence | Drug Discovery | Analyze disease-to-innovative-drug relationships by querying multiple databases (ChEMBL, ClinicalTrials) to generate comprehensive Chinese reports on disease-target-drug pipelines. | |
| drug-drug-interaction-analysis | Safety/Toxicology | Analyze potential drug-drug interactions (DDI) for up to 5 drugs using KEGG DDI database with severity levels and mechanism analysis. |
| Name | Category | Usage | Status |
|---|---|---|---|
| protein-mutation-analysis | Mutation Analysis | Analyze protein mutations by retrieving protein data, explaining mutation effects with MutaPLM, predicting structure with ESMFold, and visualizing results. | Recommended |
| mutation-design-aav | Mutation Analysis | Design high-fitness and high-diversity mutants of AAV VP1 capsid protein through multi-round iterative optimization. | |
| mutation-design-gfp | Mutation Analysis | Design high-fluorescence and high-diversity GFP mutants through multi-round iterative optimization. | |
| functional-protein-design | Protein Engineering | Generate functional protein sequences using CodeFP with Gene Ontology (GO) tag guidance for de novo protein design. | |
| protein-function-prediction | Protein Engineering | Predict protein function and properties from amino acid sequences using BioT5 for functional annotation and pathway analysis. | |
| similar-protein-retrieval | Data Retrieval | Retrieve proteins with similar structures (FoldSeek) or sequences (MSA) from UniProt, PDB, and AFDB databases. | Recommended |
| structure-prediction-boltz-2 | Structure Prediction | Predict protein complex structures and protein-ligand complexes with binding affinity (IC50) using Boltz-2. | |
| protein-structure-design-boltzgen | Structure Design | All-atom protein design using BoltzGen diffusion model for binder design, peptide design, and small molecule binding design. | |
| antibody-structure-prediction-tfold | Structure Prediction | Predict antibody/nanobody structures and antigen-antibody complex structures using tFold model. | |
| antibody-design-iggm | Antibody Design | Epitope-conditioned de novo antibody design and affinity maturation using IgGM model. | |
| binding-affinity-prediction-prodigy | Binding Analysis | Predict binding affinity scores for protein complexes using Prodigy from structure files. | Recommended |
| protein-ligand-binding-analysis-plip | Binding Analysis | Analyze protein-ligand interactions in PDB structures using PLIP for hydrogen bonds, hydrophobic contacts, π-stacking, salt bridges, and visualization. | |
| protein-subcellular-localization-prediction-biot5 | Protein Engineering | Predict protein subcellular localization (nucleus, cytoplasm, membrane, etc.) from amino acid sequences using BioT5 model. |
| Name | Category | Usage | Status |
|---|---|---|---|
| single-cell-foundation-model-scrna-seq-geneformer | Foundation Model | Geneformer workflows for tokenization, cell/gene classification, embedding extraction, and in silico perturbation analysis. | Recommended |
| single-cell-foundation-model-scrna-seq-langcell | Foundation Model | LangCell for zero-shot and few-shot cell type annotation with multimodal cell-text matching. | Recommended |
| single-cell-foundation-model-scrna-seq-scgpt | Foundation Model | scGPT for preprocessing, binning, cell embedding extraction, fine-tuning, and reference mapping workflows. | Recommended |
| spatial-transcriptomics-foundation-model-stofm | Foundation Model | SToFM for spatial transcriptomics preprocessing, cell embedding generation with SE(2) Transformer, and downstream analysis. | Recommended |
| single-cell-scrna-seq-analysis-scanpy | Bioinformatics | Complete scRNA-seq analysis workflow with Scanpy including QC, normalization, dimensionality reduction, clustering, and marker gene identification. | |
| single-cell-multi-omics-analysis-scvi | Bioinformatics | Probabilistic deep learning for single-cell multi-omics analysis including scVI, scANVI, totalVI, and spatial deconvolution. | |
| cellxgene-census-query | Data Query | Query CZ CELLxGENE Census (61M+ cells) for single-cell expression data by cell type, tissue, or disease. | |
| spatial-transcriptomics-spatial-data-io | Data I/O | Load spatial transcriptomics data from Visium, Xenium, MERFISH, Slide-seq, and other platforms using Squidpy and SpatialData. | |
| single-cell-atac-seq-qc-processing | ATAC-seq | Trim adapters, align reads, remove duplicates and mitochondrial contamination, and evaluate chromatin accessibility data quality. Includes TSS enrichment scoring and fragment size analysis. | |
| single-cell-atac-seq-peak-calling-annotaion | ATAC-seq | Call accessible chromatin peaks with MACS2, annotate peaks to genomic features and genes, and identify differentially accessible regions (DARs) between conditions. | |
| single-cell-proteomics-data-processing | Mass Spectrometry | Load, inspect, centroid, and extract features from raw LC-MS/MS data files using pyOpenMS. Includes TIC plotting, feature detection, and format conversion. | |
| single-cell-proteomics-peptide-identification | Mass Spectrometry | Search MS2 spectra against protein databases with MSFragger/Comet, apply target-decoy FDR filtering, and perform protein inference with parsimony principle. | |
| single-cell-multi-omics-data-harmonization | Data Integration | Prepare multi-omics datasets (RNA-seq, proteomics, methylation) for joint integration with per-assay normalization, batch correction, feature ID alignment, and missing value handling. |
| Name | Category | Usage | Status |
|---|---|---|---|
| pubchem-query | Chemical Database | Query PubChem database for chemical structures, similar compounds (similarity search), and bioactivity data against protein targets. | Recommended |
| uniprot-query | Protein Database | Query UniProt database for protein sequences, comprehensive metadata (function, domains, diseases), and search by gene name, organism, or keywords. | Recommended |
| chembl-query | Bioactivity Database | Query ChEMBL database for bioactivity data on drug-like compounds by target, molecule, or disease indication. | Recommended |
| kegg-query | Pathway Database | Query KEGG database for drug information, pathway analysis, and disease-drug-target discovery. | Recommended |
| ppi-string-query | PPI Database | Query STRING database for protein-protein interactions with confidence scores for network analysis. | Recommended |
| biomedical-literature-search | Literature Search | Search PubMed and bioRxiv for biomedical research papers with titles, abstracts, and metadata. | Recommended |
| Name | Category | Usage | Status |
|---|---|---|---|
| biomed-skill-router | Skill Discovery | Find the most suitable skill for a given biomedical task by analyzing user requests and matching against available skill capabilities. | Recommended |
| biomed-skill-creator | Skill Development | Create new biomedical skills or improve existing ones through an interactive validation process with intent capture, workflow design, and evaluation. | Recommended |
- Recommended skills contain
examples/,references/, orevals/directories with supporting documentation and test cases. - Skills without a status are still being validated and may require additional documentation and testing.
- Skills are organized by primary category for easy navigation.
- Each skill includes a SKILL.md file with detailed workflow documentation, usage examples, and error handling guidelines.
| Category | Count | Skills |
|---|---|---|
| Biochemistry & Drug Discovery | 11 | drug-candidate-discovery, drug-lead-analysis, target-based-lead-design, admet-prediction, retrosynthesis-planning, iupac-name-identification-biot5, molecule-biochemical-significance-query-biot5, text-based-molecule-editing, target-drug-report, disease-drug-intelligence, drug-drug-interaction-analysis |
| Protein Analysis & Engineering | 13 | protein-mutation-analysis, mutation-design-aav, mutation-design-gfp, functional-protein-design, protein-function-prediction, similar-protein-retrieval, structure-prediction-boltz-2, protein-structure-design-boltzgen, antibody-structure-prediction-tfold, antibody-design-iggm, binding-affinity-prediction-prodigy, protein-ligand-binding-analysis-plip, protein-subcellular-localization-prediction-biot5 |
| Single-Cell Omics Data Analysis | 13 | single-cell-foundation-model-scrna-seq-geneformer, single-cell-foundation-model-scrna-seq-langcell, single-cell-foundation-model-scrna-seq-scgpt, spatial-transcriptomics-foundation-model-stofm, single-cell-scrna-seq-analysis-scanpy, single-cell-multi-omics-analysis-scvi, cellxgene-census-query, spatial-transcriptomics-spatial-data-io, single-cell-atac-seq-qc-processing, single-cell-atac-seq-peak-calling-annotaion, single-cell-proteomics-data-processing, single-cell-proteomics-peptide-identification, single-cell-multi-omics-data-harmonization |
| Data Retrieval & Knowledge | 6 | pubchem-query, uniprot-query, chembl-query, kegg-query, ppi-string-query, biomedical-literature-search |
| Utilities | 2 | biomed-skill-router, biomed-skill-creator |
| I want to... | Use this skill |
|---|---|
| Design new drug candidates | drug-candidate-discovery, target-based-lead-design |
| Generate target drug reports | target-drug-report |
| Research disease-drug intelligence | disease-drug-intelligence |
| Analyze molecule properties | drug-lead-analysis, admet-prediction |
| Check drug-drug interactions | drug-drug-interaction-analysis |
| Find similar compounds | pubchem-query |
| Query protein database | uniprot-query |
| Analyze protein mutations | protein-mutation-analysis, mutation-design-aav, mutation-design-gfp |
| Predict protein structures | structure-prediction-boltz-2, antibody-structure-prediction-tfold |
| Design antibodies | antibody-design-iggm |
| Design proteins | protein-structure-design-boltzgen, functional-protein-design |
| Find similar proteins | similar-protein-retrieval |
| Predict binding affinity | binding-affinity-prediction-prodigy |
| Predict protein subcellular localization | protein-subcellular-localization-prediction-biot5 |
| Analyze scRNA-seq data | single-cell-scrna-seq-analysis-scanpy, single-cell-multi-omics-analysis-scvi |
| Use single-cell foundation models | single-cell-foundation-model-scrna-seq-geneformer, single-cell-foundation-model-scrna-seq-scgpt, single-cell-foundation-model-scrna-seq-langcell |
| Analyze spatial transcriptomics | spatial-transcriptomics-foundation-model-stofm, spatial-transcriptomics-spatial-data-io |
| Query single-cell databases | cellxgene-census-query |
| Process ATAC-seq data | single-cell-atac-seq-qc-processing, single-cell-atac-seq-peak-calling-annotaion |
| Process proteomics MS data | single-cell-proteomics-data-processing, single-cell-proteomics-peptide-identification |
| Harmonize multi-omics data | single-cell-multi-omics-data-harmonization |
| Search biomedical literature | biomedical-literature-search |
| Get IUPAC name of a molecule | iupac-name-identification-biot5 |
| Understand molecule's biochemical significance | molecule-biochemical-significance-query-biot5 |
| Plan retrosynthesis routes | retrosynthesis-planning |
| Find the right skill | biomed-skill-router |
| Create a new skill | biomed-skill-creator |