BioTender-max/awesome-bio-agent-skills：精选的AI代理技能集，涵盖生物医学研究，涵盖基因组学、蛋白质

项目介绍

BioTender-max/awesome-bio-agent-skills 是一个托管在 GitHub 上的开源项目，主要使用 Python 编写，采用 Other 许可证，目前获得 219 个 Star、40 次 Fork。

仓库全名: BioTender-max/awesome-bio-agent-skills

README 摘要

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…

完整内容见 GitHub 原始 README 或本页。

常见问题

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主要使用 Python 编写，采用 Other 许可证，目前有 219 个 Star。

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可以直接克隆仓库：git clone https://github.com/BioTender-max/awesome-bio-agent-skills.git，默认分支为 main；安装与运行步骤见仓库 README。

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仓库最近一次更新为 7月2日，当前有 3 个未关闭 Issue；Star 数为 219，可作为社区活跃度的参考。

关于

GitHub 原始描述（英文）

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

Other
219 Stars
40 Forks
0 Watching

描述取自 GitHub 官方 API，保持仓库作者书写的原文。

简要分析

热度分

299

价值分

143

活跃状态

活跃

GitHub

语言占比

Batchfile

BibTeX Style

CSS

Common Workflow Language

Dockerfile

Gherkin

HTML

JavaScript

Jupyter Notebook

Makefile

Nextflow

Python

Shell

TeX

TypeScript

Typst

WDL

Release

v0.3.0 — Added Claude Science Skills7月2日
v0.2.0 — Added NVIDIA BioNeMo Agent Toolkit6月24日

贡献者

BioTender-max

# One-time use (no install required)
npx bioskill install

# Or install globally for repeated use
npm install -g bioskill
bioskill install

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

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.

View all 526 skills

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	Performs gene-level association from GWAS summary statistics via genetically predicted tissue expression using FUSION, PrediXcan, S-PrediXcan, S-Mu…
bio-cfdna-preprocessing	bioskills	Preprocesses cell-free DNA sequencing data including adapter trimming, alignment optimized for short fragments, and UMI-aware duplicate removal usi…
bio-chipseq-allele-specific-binding	bioskills	Detects allele-specific transcription factor or histone modification binding from heterozygous-variant ChIP-seq using WASP (reference-bias filter;…
bio-chipseq-chip-deep-learning	bioskills	Trains and applies base-resolution deep learning models on ChIP-seq / ChIP-nexus / CUT&RUN data. Uses BPNet (Avsec 2021 Nat Genet 53:354; soft moti…
bio-chipseq-peak-calling	bioskills	Calls ChIP-seq peaks with MACS3, MACS2, HOMER, or SPP across narrow (TF) and broad (histone) modes. Handles input control matching, fragment-size m…
bio-chipseq-visualization	bioskills	Visualizes ChIP-seq data using deepTools (computeMatrix, plotHeatmap, plotProfile, bamCoverage, bamCompare), pyGenomeTracks (modern INI-driven trac…
bio-clinical-biostatistics-adaptive-designs	bioskills	Designs adaptive clinical trials including group-sequential (O’Brien-Fleming, Pocock, Lan-DeMets spending), sample-size re-estimation (blinded Frie…
bio-clinical-biostatistics-categorical-tests	bioskills	Tests associations between categorical variables in clinical data using chi-square, Fisher’s exact, Boschloo, Cochran-Mantel-Haenszel, and modern M…
bio-clinical-biostatistics-power-sample-size	bioskills	Computes sample size and power for clinical trials including continuous, binary, and time-to-event endpoints; superiority, non-inferiority, and equ…
bio-clinical-databases-acmg-classification	bioskills	Applies ACMG/AMP 2015 framework with ClinGen SVI specifications, Tavtigian 2018/2020 Bayesian point system, Abou Tayoun 2018 PVS1 decision tree, Pe…
bio-clinical-databases-clinvar-lookup	bioskills	Queries ClinVar for variant pathogenicity classifications, ClinGen VCEP curations, and somatic-vs-germline interpretations via REST API, weekly VCF…
bio-clinical-databases-dbsnp-queries	bioskills	Resolves rsIDs, navigates RsMergeArch/SNPHistory merge chains, and converts between rsID, SPDI, HGVS, and VCF representations using the dbSNP Build…

…and 486 additional genomics skills in the skills/bioskills/, skills/openclaw/, skills/sciagent/ directories.

Proteomics

167 skills — mass spectrometry analysis, structure prediction, protein design, binding affinity optimization.

View all 167 skills

Skill	Source	Description
bio-atac-seq-nucleosome-positioning	bioskills	Map nucleosome center positions, occupancy, and fuzziness from ATAC-seq fragment-size patterns using NucleoATAC, ATACseqQC, DANPOS3, or scprinter…
bio-data-visualization-sequence-logos	bioskills	Build sequence logos from aligned DNA, RNA, or protein motifs using ggseqlogo ®, Logomaker (Python), or WebLogo with explicit bits vs probability…
bio-generative-design	bioskills	Designs novel molecules using REINVENT 4 (de novo, scaffold decoration, linker design, R-group, molecular optimization), MolMIM, Diffusion-based ge…
bio-hi-c-analysis-hic-differential	bioskills	Compare Hi-C contact matrices between conditions to identify differential chromatin interactions. Compute log2 fold changes, statistical significan…
bio-hi-c-analysis-tad-detection	bioskills	Call topologically associating domains (TADs) from Hi-C data using insulation score, HiCExplorer, and other methods. Identify domain boundaries and…
bio-immunoinformatics-mhc-binding-prediction	bioskills	Predict peptide-MHC class I and II binding affinity using MHCflurry and NetMHCpan neural network models. Identify potential T-cell epitopes from pr…
bio-immunoinformatics-neoantigen-prediction	bioskills	Identify tumor neoantigens from somatic mutations using pVACtools for personalized cancer immunotherapy. Predict mutant peptides that bind patient…
bio-interaction-databases	bioskills	Query protein-protein and gene interaction databases (STRING, BioGRID, IntAct, SIGNOR, Reactome, HuRI, HuMAP, OmniPath, ConsensusPathDB, DIP). Use…
bio-ml-docking-rescoring	bioskills	Performs ML-based protein-ligand pose prediction and scoring using DiffDock-L (diffusion-based), Boltz-1 / Boltz-2 (foundation model with affinity)…
bio-molecular-io	bioskills	Reads, writes, and converts molecular file formats (SMILES, InChI, SDF V2000/V3000, MOL2, PDB, MMTF) using RDKit and Open Babel with rigorous handl…
bio-molecular-standardization	bioskills	Standardizes molecular structures using ChEMBL chembl_structure_pipeline and RDKit rdMolStandardize covering sanitization, salt/solvent stripping,…
bio-pdb-geometric-analysis	bioskills	Perform geometric calculations on protein structures using Biopython Bio.PDB. Use when measuring distances, angles, and dihedrals, superimposing st…
bio-pdb-structure-io	bioskills	Parse and write protein structure files using Biopython Bio.PDB. Use when reading PDB, mmCIF, and MMTF files, downloading structures from RCSB PDB,…
bio-pdb-structure-modification	bioskills	Modify protein structures using Biopython Bio.PDB. Use when transforming coordinates, removing atoms or residues, adding new entities, modifying B-…
bio-pdb-structure-navigation	bioskills	Navigate protein structure hierarchy using Biopython Bio.PDB SMCRA model. Use when accessing models, chains, residues, and atoms, iterating over st…
bio-phylo-tree-manipulation	bioskills	Modify phylogenetic tree structure using Biopython Bio.Phylo. Use when rooting trees with outgroups, midpoint, or MAD methods, pruning taxa, collap…
bio-population-genetics-population-structure	bioskills	Analyze population structure using PCA and admixture analysis with PLINK and ADMIXTURE. Identify population clusters, assess ancestry proportions,…
bio-pose-validation	bioskills	Validates docked / generated protein-ligand poses using PoseBusters physical-validity tests, strain energy quantification, geometric checks (planar…
bio-primer-design-primer-validation	bioskills	Validate PCR primers for specificity, dimers, hairpins, and secondary structures using primer3-py thermodynamic calculations. Check self-complement…
bio-protac-degraders	bioskills	Designs PROTACs, molecular glues, and bivalent degraders with explicit handling of E3 ligase choice (VHL, CRBN, IAP, MDM2, KEAP1), linker design (l…
bio-proteomics-data-import	bioskills	Load and parse mass spectrometry data formats including mzML, mzXML, and quantification tool outputs like MaxQuant proteinGroups.txt. Use when star…
bio-proteomics-dia-analysis	bioskills	Data-independent acquisition (DIA) proteomics analysis with DIA-NN and other tools. Use when analyzing DIA mass spectrometry data with library-free…
bio-proteomics-peptide-identification	bioskills	Peptide-spectrum matching and protein identification from MS/MS data. Use when identifying peptides from tandem mass spectra. Covers database searc…
bio-proteomics-protein-inference	bioskills	Protein grouping and inference from peptide identifications. Use when resolving protein ambiguity from shared peptides. Handles protein groups and…
bio-proteomics-quantification	bioskills	Protein quantification from mass spectrometry data including label-free (LFQ, intensity-based), isobaric labeling (TMT, iTRAQ), and metabolic label…
bio-proteomics-spectral-libraries	bioskills	Build, manage, and search spectral libraries for proteomics. Use when creating or working with spectral libraries for DIA analysis. Covers DDA-base…
bio-qsar-modeling	bioskills	Builds QSAR / QSPR models using chemprop D-MPNN, MolFormer, Uni-Mol, ChemBERTa, random forest baselines, and Gaussian processes with explicit handl…
bio-rna-structure-ncrna-search	bioskills	Searches for non-coding RNA homologs and classifies RNA families using Infernal covariance model searches against the Rfam database. Identifies str…
bio-rna-structure-structure-probing	bioskills	Analyzes experimental RNA structure probing data from SHAPE-MaP and DMS-MaPseq experiments using ShapeMapper2. Converts mutation rates to per-nucle…
bio-scaffold-analysis	bioskills	Analyzes chemical libraries by scaffold using Bemis-Murcko scaffolds, generic frameworks, cyclic skeletons, matched molecular pair (MMP) analysis v…
bio-similarity-searching	bioskills	Performs molecular similarity searching using Tanimoto, Tversky, Dice, and cosine coefficients on bit/count fingerprints with explicit choice rules…
bio-structural-biology-alphafold-predictions	bioskills	Access and analyze AlphaFold protein structure predictions. Use when predicted structures are needed for proteins without experimental structures,…
bio-structural-biology-modern-structure-prediction	bioskills	Predict protein structures using modern ML models including AlphaFold3, ESMFold, Chai-1, and Boltz-1. Use when predicting structures for novel prot…
bio-substructure-search	bioskills	Searches molecular libraries for substructure matches using SMARTS patterns with explicit handling of recursive SMARTS, ring membership, aromaticit…
bio-transcription-translation	bioskills	Transcribe DNA to RNA and translate to protein using Biopython. Use when converting between DNA, RNA, and protein sequences, finding ORFs, or using…
bio-virtual-screening	bioskills	Performs structure-based virtual screening using AutoDock Vina, SMINA, GNINA (CNN scoring), and DiffDock-L hybrid workflows with explicit choice ru…
adhd-daily-planner	openclaw	Time-blind friendly planning, executive function support, and daily structure for ADHD brains. Specializes in realistic time estimation, dopamine-a…
alphafold-database	openclaw	Access AlphaFold’s 200M+ AI-predicted protein structures. Retrieve structures by UniProt ID, download PDB/mmCIF files, analyze confidence metrics (…
antibody-design-agent	openclaw	An advanced agent for de novo antibody design and optimization using state-of-the-art protein language models (MAGE, RFdiffusion).
bindingdb-database	openclaw	Query BindingDB for measured drug-target binding affinities (Ki, Kd, IC50, EC50). Search by target (UniProt ID), compound (SMILES/name), or pathoge…

…and 127 additional proteomics skills in the skills/kdense/, skills/openclaw/, skills/sciagent/ directories.

Single-Cell Analysis

144 skills — preprocessing, clustering, cell type annotation, trajectory inference, cell communication, multimodal integration.

View all 144 skills

Skill	Source	Description
bio-atac-seq-co-accessibility	bioskills	Infer cis-regulatory connections (peak-to-peak co-accessibility) from scATAC-seq using Cicero, ArchR getCoAccessibility, or SCENIC+. Use when linki…
bio-atac-seq-deep-learning-atac	bioskills	Sequence-based deep learning for ATAC-seq using chromBPNet, BPNet, scBasset, or EnFormer. Use when correcting Tn5 bias with neural networks beyond…
bio-atac-seq-enhancer-gene-linking	bioskills	Predict enhancer-gene regulatory connections from ATAC-seq using ABC, ENCODE-rE2G, HiChIP, or Cicero. Use when linking distal enhancers to target g…
bio-atac-seq-motif-deviation	bioskills	Analyze TF motif accessibility variability across samples or single cells using chromVAR. Use when identifying TF motifs whose accessibility correl…
bio-atac-seq-single-cell-atac	bioskills	Process and analyze single-cell ATAC-seq data with Signac, ArchR, SnapATAC2, or Cell Ranger ATAC. Use when handling 10X scATAC or 10X Multiome (pai…
bio-causal-genomics-heritability-partitioning	bioskills	Estimate SNP heritability and partition it across functional annotations, cell types, and loci from GWAS summary statistics or individual-level gen…
bio-chipseq-chromatin-state-segmentation	bioskills	Segments the genome into chromatin states from combinatorial histone modification and chromatin factor ChIP-seq data. Uses ChromHMM (multivariate H…
bio-chipseq-peak-annotation	bioskills	Annotates ChIP-seq peaks to genomic features, nearest genes, ENCODE candidate cis-regulatory elements (cCREs), and regulatory domains. Uses ChIPsee…
bio-clip-seq-stamp-antibody-free	bioskills	Profiles RNA-binding protein targets without antibody or UV crosslinking using STAMP (APOBEC1-RBP fusion, C-to-U editing), scSTAMP (single-cell), T…
bio-crispr-screens-combinatorial-screens	bioskills	Designs and analyzes combinatorial CRISPR screens covering paired-Cas9 (Big Papi, Najm 2018), enhanced AsCas12a multiplex (enCas12a, DeWeirdt 2021)…
bio-crispr-screens-perturb-seq-analysis	bioskills	Analyzes single-cell pooled CRISPR screens (Perturb-seq, CROP-seq, Perturb-CITE-seq, ECCITE-seq, multiome) where each cell carries an sgRNA and a s…
bio-data-visualization-dimensionality-reduction-plots	bioskills	Produce and interpret PCA, t-SNE, UMAP, and PHATE plots for high-dimensional omics data with rigor about which method preserves what (variance, loc…
bio-data-visualization-matplotlib-fundamentals	bioskills	Build publication-quality figures with matplotlib using the object-oriented Figure/Axes API, constrained_layout, rcParams customization, TrueType (…
bio-expression-matrix-normalization	bioskills	Normalize and transform RNA-seq count matrices for differential expression, visualization, and clustering. Covers between-sample (TMM, RLE, upper q…
bio-expression-matrix-sparse-handling	bioskills	Work with sparse matrices for memory-efficient storage of count data. Use when dealing with single-cell data or large bulk RNA-seq datasets where m…
bio-flow-cytometry-clustering-phenotyping	bioskills	Unsupervised clustering and cell type identification for flow/mass cytometry. Covers FlowSOM, Phenograph, and CATALYST workflows. Use when discover…
bio-flow-cytometry-doublet-detection	bioskills	Detect and remove doublets from flow and mass cytometry data. Covers FSC/SSC gating and computational doublet detection methods. Use when filtering…
bio-flow-cytometry-doublet-detection	bioskills	Detect and remove doublets from flow and mass cytometry data. Covers FSC/SSC gating and computational doublet detection methods. Use when filtering…
bio-gene-regulatory-networks-coexpression-networks	bioskills	Build weighted gene co-expression networks to identify modules of co-regulated genes and relate them to phenotypes using WGCNA and CEMiTool. Detect…
bio-gene-regulatory-networks-multiomics-grn	bioskills	Build enhancer-driven gene regulatory networks by integrating single-cell RNA-seq and ATAC-seq data using SCENIC+ to identify eRegulons linking tra…
bio-gene-regulatory-networks-scenic-regulons	bioskills	Infer gene regulatory networks and identify transcription factor regulons from single-cell RNA-seq data using pySCENIC. Discovers co-expression mod…
bio-imaging-mass-cytometry-cell-segmentation	bioskills	Cell segmentation from multiplexed tissue images. Covers deep learning (Cellpose, Mesmer) and classical approaches for nuclear and whole-cell segme…
bio-imaging-mass-cytometry-interactive-annotation	bioskills	Interactive cell type annotation for IMC data. Covers napari-based annotation, marker-guided labeling, training data generation, and annotation val…
bio-imaging-mass-cytometry-phenotyping	bioskills	Cell type assignment from marker expression in IMC data. Covers manual gating, clustering, and automated classification approaches. Use when assign…
bio-imaging-mass-cytometry-spatial-analysis	bioskills	Spatial analysis of cell neighborhoods and interactions in IMC data. Covers neighbor graphs, spatial statistics, and interaction testing. Use when…
bio-machine-learning-atlas-mapping	bioskills	Maps query single-cell data to reference atlases using scArches transfer learning with scVI and scANVI models. Transfers cell type labels without r…
bio-methylation-dmr-detection	bioskills	Differentially methylated region (DMR) detection using methylKit tiles, bsseq BSmooth, and DMRcate. Use when identifying contiguous genomic regions…
bio-read-qc-umi-processing	bioskills	Extract, process, and deduplicate reads using Unique Molecular Identifiers (UMIs) with umi_tools. Use when library prep includes UMIs and accurate…
bio-single-cell-batch-integration	bioskills	Integrate multiple scRNA-seq samples/batches using Harmony, scVI, Seurat anchors, and fastMNN. Remove technical variation while preserving biologic…
bio-single-cell-cell-annotation	bioskills	Automated cell type annotation using reference-based methods including CellTypist, scPred, SingleR, and Azimuth for consistent, reproducible cell l…
bio-single-cell-cell-communication	bioskills	Infer cell-cell communication networks from scRNA-seq data using CellChat, NicheNet, and LIANA for ligand-receptor interaction analysis. Use when i…
bio-single-cell-clustering	bioskills	Dimensionality reduction and clustering for single-cell RNA-seq using Seurat ® and Scanpy (Python). Use for running PCA, computing neighbors, clu…
bio-single-cell-data-io	bioskills	Read, write, and create single-cell data objects using Seurat ® and Scanpy (Python). Use for loading 10X Genomics data, importing/exporting h5ad…
bio-single-cell-doublet-detection	bioskills	Detect and remove doublets (multiple cells captured in one droplet) from single-cell RNA-seq data. Uses Scrublet (Python), DoubletFinder ®, and s…
bio-single-cell-doublet-detection	bioskills	Detect and remove doublets (multiple cells captured in one droplet) from single-cell RNA-seq data. Uses Scrublet (Python), DoubletFinder ®, and s…
bio-single-cell-lineage-tracing	bioskills	Reconstruct cell lineage trees from CRISPR barcode tracing or mitochondrial mutations. Use when studying clonal dynamics, cell fate decisions, or d…
bio-single-cell-markers-annotation	bioskills	Find marker genes and annotate cell types in single-cell RNA-seq using Seurat ® and Scanpy (Python). Use for differential expression between clus…
bio-single-cell-metabolite-communication	bioskills	Analyze metabolite-mediated cell-cell communication using MeboCost for metabolic signaling inference between cell types. Predict metabolite secreti…
bio-single-cell-multimodal-integration	bioskills	Analyze multi-modal single-cell data (CITE-seq, Multiome, spatial). Use when working with data that measures multiple modalities per cell like RNA…
bio-single-cell-perturb-seq	bioskills	Analyze Perturb-seq and CROP-seq CRISPR screening data integrated with scRNA-seq. Use when identifying gene function through pooled genetic perturb…

…and 104 additional single-cell analysis skills in the skills/openclaw/, skills/bioskills/, skills/sciagent/ directories.

Biology and AI

236 skills — medical AI, clinical decision support, drug discovery, general biological tools.

View all 236 skills

Skill	Source	Description
bio-flow-cytometry-bead-normalization	bioskills	Bead-based normalization for CyTOF and high-parameter flow cytometry. Covers EQ bead normalization, signal drift correction, and batch normalizatio…
bio-flow-cytometry-fcs-handling	bioskills	Read and manipulate Flow Cytometry Standard (FCS) files. Covers loading data, accessing parameters, and basic data exploration. Use when loading an…
bio-immunoinformatics-tcr-epitope-binding	bioskills	Predict TCR-epitope specificity using ERGO-II and deep learning models for T-cell receptor antigen recognition. Match TCRs to their cognate epitope…
bio-molecular-descriptors	bioskills	Calculates molecular fingerprints (ECFP/Morgan, FCFP, MACCS, RDKit, AtomPair, TopologicalTorsion, Avalon, MAP4, MHFP6) and physicochemical descript…
bio-phylo-divergence-dating	bioskills	Estimate divergence times using molecular clock models with BEAST2, MCMCTree, and TreePL. Use when dating speciation events, calibrating phylogenie…
bio-phylo-species-trees	bioskills	Estimate species trees using coalescent methods including ASTRAL-III, wASTRAL, ASTRAL-Pro, SVDQuartets, and BPP. Use when multi-locus data shows ge…
bio-phylo-tree-io	bioskills	Read, write, and convert phylogenetic tree files using Biopython Bio.Phylo. Use when parsing Newick, Nexus, PhyloXML, or NeXML tree formats, conver…
bio-reporting-quarto-reports	bioskills	Build reproducible scientific documents, presentations, and websites with Quarto supporting R, Python, Julia, and Observable JS. Use when creating…
bio-ribo-seq-ribosome-stalling	bioskills	Detect ribosome pausing and stalling sites from Ribo-seq data at codon resolution. Use when studying translational regulation, identifying pause si…
aav-vector-design-agent	openclaw	AI-powered adeno-associated virus (AAV) vector design for gene therapy including capsid engineering, promoter selection, and tropism optimization.
ai-analyzer	openclaw	AI驱动的综合健康分析系统，整合多维度健康数据、识别异常模式、预测健康风险、提供个性化建议。支持智能问答和AI健康报告生成。
bayesian-optimizer	openclaw	Bayesian Optimize
biokernel	openclaw	Biomedical OS Core & MCP Server
biologist-analyst	openclaw	Analyzes living systems and biological phenomena through biological lens using evolution, molecular biology, ecology, and systems biology framework…
biomcp-server	openclaw	MCP bio bridge
brainstorming	openclaw	You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user int…
cellagent-annotation	openclaw	Cell tagger
chemist-analyst	openclaw	Analyzes events through chemistry lens using molecular structure, reaction mechanisms, thermodynamics, kinetics, and analytical techniques (spectro…
computational-pathology-agent	openclaw	Analyze Whole Slide Images (WSI) for digital pathology, including tissue segmentation and feature extraction.
crisis-response-protocol	openclaw	Handle mental health crisis situations in AI coaching safely. Use when implementing crisis detection, safety protocols, emergency escalation, or su…
crispr-guide-design	openclaw	Guide foundry
data-transform	openclaw	Transform, clean, reshape, and preprocess data using pandas and numpy. Works with ANY LLM provider (GPT, Gemini, Claude, etc.).
differentiation-schemes	openclaw	Select and apply numerical differentiation schemes for PDE/ODE discretization. Use when choosing finite difference/volume/spectral schemes, buildin…
dispatching-parallel-agents	openclaw	Use when facing 2+ independent tasks that can be worked on without shared state or sequential dependencies
emergency-card	openclaw	生成紧急情况下快速访问的医疗信息摘要卡片。当用户需要旅行、就诊准备、紧急情况或询问"紧急信息"、“医疗卡片”、"急救信息"时使用此技能。提取关键信息（过敏、用药、急症、植入物），支持多格式输出（JSON、文本、二维码），用于急救或快速就医。
epidemiologist-analyst	openclaw	Analyzes disease patterns and health events through epidemiological lens using surveillance systems, outbreak investigation methods, and disease mo…
executing-plans	openclaw	Use when you have a written implementation plan to execute in a separate session with review checkpoints
family-health-analyzer	openclaw	分析家族病史、评估遗传风险、识别家庭健康模式、提供个性化预防建议
fhir-developer-skill	openclaw	FHIR API development guide for building healthcare endpoints. Use when: (1) Creating FHIR REST endpoints (Patient, Observation, Encounter, Conditio…
find-skills	openclaw	Helps users discover and install agent skills when they ask questions like “how do I do X”, “find a skill for X”, “is there a skill that can…”, o…
fitness-analyzer	openclaw	分析运动数据、识别运动模式、评估健身进展，并提供个性化训练建议。支持与慢性病数据的关联分析。
goal-analyzer	openclaw	分析健康目标数据、识别目标模式、评估目标进度,并提供个性化目标管理建议。支持与营养、运动、睡眠等健康数据的关联分析。
grief-companion	openclaw	Compassionate bereavement support, memorial creation, grief education, and healing journey guidance. Specializes in understanding grief stages, cre…
health-trend-analyzer	openclaw	分析一段时间内健康数据的趋势和模式。关联药物、症状、生命体征、化验结果和其他健康指标的变化。识别令人担忧的趋势、改善情况，并提供数据驱动的洞察。当用户询问健康趋势、模式、随时间的变化或"我的健康状况有什么变化？"时使用。支持多维度分析（体重/BMI、症状、药物依从性、化验结果、情绪睡眠），相关…
hipaa-compliance	openclaw	Ensure HIPAA compliance when handling PHI (Protected Health Information). Use when writing code that accesses user health data, check-ins, journal…
kragen-knowledge-graph	openclaw	Graph-RAG Solver
leads-literature-mining	openclaw	Review Automator
medical-imaging-review	openclaw	Write comprehensive literature reviews for medical imaging AI research. Use when writing survey papers, systematic reviews, or literature analyses…
mental-health-analyzer	openclaw	分析心理健康数据、识别心理模式、评估心理健康状况、提供个性化心理健康建议。支持与睡眠、运动、营养等其他健康数据的关联分析。
mesh-generation	openclaw	Plan and evaluate mesh generation for numerical simulations. Use when choosing grid resolution, checking aspect ratios/skewness, estimating mesh qu…

…and 196 additional biology and ai skills in the skills/nobel/, skills/openclaw/, skills/neuroclaw/ directories.

Clinical and Medical

152 skills — EHR analysis, clinical trial design, drug interactions, precision medicine, adverse event detection.

View all 152 skills

Skill	Source	Description
bio-admet-prediction	bioskills	Predicts ADMET properties using ADMETlab 3.0 (119 endpoints with uncertainty), ADMET-AI, DeepChem MolNet, and chemprop D-MPNN with explicit handlin…
bio-clinical-biostatistics-bayesian-trials	bioskills	Designs Bayesian clinical trials including Phase I dose-finding (BOIN, CRM, EWOC, mTPI-2), meta-analytic-predictive (MAP) priors with robust mixtur…
bio-clinical-biostatistics-cdisc-data	bioskills	Reads, validates, and prepares CDISC SDTM and ADaM clinical trial data for analysis. Covers SDTM domain joins (DM, AE, EX, VS, LB, DS), ADaM archit…
bio-clinical-biostatistics-effect-measures	bioskills	Computes and interprets treatment effect measures (OR, RR, RD, HR, NNT) with calibrated confidence intervals (Wilson, Newcombe, Miettinen-Nurminen,…
bio-clinical-biostatistics-logistic-regression	bioskills	Performs logistic regression for clinical trial outcomes (binary, ordinal, multinomial) with marginal-vs-conditional estimand reporting per FDA 202…
bio-clinical-biostatistics-missing-data	bioskills	Implements missing-data sensitivity analyses for confirmatory clinical trials including MMRM under MAR (with Kenward-Roger correction), reference-b…
bio-clinical-biostatistics-multiplicity-graphical	bioskills	Implements multiplicity control for confirmatory clinical trials using graphical procedures (Bretz-Maurer-Hommel), gatekeeping (parallel, serial, m…
bio-clinical-biostatistics-subgroup-analysis	bioskills	Performs subgroup and heterogeneous treatment effect (HTE) analyses for clinical trials. Covers Mantel-Haenszel pooling, Breslow-Day, interaction t…
bio-clinical-biostatistics-trial-reporting	bioskills	Prepares statistical reports for clinical trials following CONSORT 2025, SPIRIT 2025, ICH E9(R1) estimands, and FDA 2023 covariate adjustment guida…
bio-clinical-databases-polygenic-risk	bioskills	Constructs and validates polygenic risk scores using LDpred2-auto, SBayesRC, MegaPRS, PRS-CS, PROSPER, MUSSEL, BridgePRS, JointPRS, PRSmix, or PGS…
bio-covalent-design	bioskills	Designs covalent inhibitors and warheads targeting cysteine (most common, 98% of covalent drugs), lysine, serine, threonine, tyrosine, and aspartat…
bio-systems-biology-gene-essentiality	bioskills	Perform in silico gene knockout analysis and synthetic lethality screens using COBRApy single and double deletions. Predict essential genes and ide…
bio-workflows-clinical-trial-pipeline	bioskills	End-to-end clinical trial analysis workflow from CDISC SDTM/ADaM loading through ICH E9(R1) estimand-driven primary analysis to CONSORT 2025 regula…
bio-workflows-outbreak-pipeline	bioskills	End-to-end outbreak investigation from pathogen isolates to transmission networks. Orchestrates MLST typing, AMR surveillance, phylodynamic dating,…
agentd-drug-discovery	openclaw	Use the AgentD workflow to mine evidence, design molecules, and rank candidates with SAR plus ADMET annotations for early drug discovery tasks.
autonomous-oncology-agent	openclaw	Precision Oncology
biomedical-search	openclaw	Complete biomedical information search combining PubMed, preprints, clinical trials, and FDA drug labels. Powered by Valyu semantic search.
cancer-metabolism-agent	openclaw	AI-powered analysis of cancer metabolic reprogramming including Warburg effect, glutamine addiction, lipid metabolism, and metabolic vulnerabilitie…
cart-design-optimizer-agent	openclaw	AI-guided CAR-T cell design for solid tumors using antigen prioritization, safety-by-design architectures, and exhaustion-resistant engineering.
cellular-senescence-agent	openclaw	AI-powered analysis of cellular senescence for aging research, cancer therapy response, and senolytic drug development.
chatehr-clinician-assistant	openclaw	EHR Chat Assistant
chematagent-drug-discovery	openclaw	Chemical Lab Agent
chemcrow-drug-discovery	openclaw	An LLM chemistry agent with expert-designed tools for organic synthesis, drug discovery, and materials design.
chemical-property-lookup	openclaw	Compute RDKit-driven molecular properties (MW, logP, TPSA, QED, Lipinski) for a SMILES string to support downstream drug discovery tools.
chromosomal-instability-agent	openclaw	AI-powered analysis of chromosomal instability (CIN) signatures for cancer prognosis, immunotherapy response prediction, and therapeutic vulnerabil…
clinical-diagnostic-reasoning	openclaw	Identify and counteract cognitive biases in medical decision-making through systematic error analysis and contextual algorithm application. For dia…
clinical-trial-protocol-skill	openclaw	Generate clinical trial protocols for medical devices or drugs. This skill should be used when users say “Create a clinical trial protocol”, "Gener…
clinical-trials-search	openclaw	Search ClinicalTrials.gov with natural language queries. Find clinical trials, enrollment, and outcomes using Valyu semantic search.
clinicaltrials-database	openclaw	Query ClinicalTrials.gov via API v2. Search trials by condition, drug, location, status, or phase. Retrieve trial details by NCT ID, export data, f…
ctdna-dynamics-mrd-agent	openclaw	AI-powered circulating tumor DNA dynamics analysis for molecular residual disease detection, treatment response monitoring, and early relapse predi…
cytokine-storm-analysis-agent	openclaw	AI-powered cytokine release syndrome (CRS) and cytokine storm analysis for prediction, monitoring, and management in immunotherapy and infectious d…
datacommons-client	openclaw	Work with Data Commons, a platform providing programmatic access to public statistical data from global sources. Use this skill when working with d…
drug-discovery-search	openclaw	End-to-end drug discovery platform combining ChEMBL compounds, DrugBank, targets, and FDA labels. Natural language powered by Valyu.
drug-interaction-checker	openclaw	Checks for potential drug-drug interactions (DDIs) between a list of medications.
drug-labels-search	openclaw	Search FDA drug labels with natural language queries. Official drug information, indications, and safety data via Valyu.
drugbank-search	openclaw	Search DrugBank comprehensive drug database with natural language queries. Drug mechanisms, interactions, and safety data powered by Valyu.
exosome-ev-analysis-agent	openclaw	AI-powered extracellular vesicle and exosome analysis for cancer biomarker discovery, liquid biopsy applications, and intercellular communication p…
immune-checkpoint-combination-agent	openclaw	AI-powered analysis for predicting optimal immune checkpoint inhibitor combinations based on tumor microenvironment, biomarkers, and molecular prof…
liquid-biopsy-analytics-agent	openclaw	Comprehensive analysis of liquid biopsy data (ctDNA, CTCs) for cancer detection, MRD monitoring, and response tracking.
medical-entity-extractor	openclaw	Extract medical entities (symptoms, medications, lab values, diagnoses) from patient messages.

…and 112 additional clinical and medical skills in the skills/drugclaw/, skills/openclaw/, skills/sciagent/ directories.

Transcriptomics

97 skills — RNA-seq full pipeline, differential expression, alternative splicing, lncRNA, small RNA.

View all 97 skills

Skill	Source	Description
bio-atac-seq-differential-accessibility	bioskills	Identify differentially accessible chromatin regions across conditions using DiffBind, csaw, DESeq2, or edgeR. Use when comparing ATAC-seq accessib…
bio-chipseq-differential-binding	bioskills	Identifies differentially bound ChIP-seq regions between conditions using DiffBind, csaw (sliding windows), DESeq2/edgeR/PyDESeq2 on count matrices…
bio-chipseq-spike-in-normalization	bioskills	Normalizes ChIP-seq data using exogenous spike-in (ChIP-Rx with Drosophila chromatin per Orlando 2014 / Egan 2016; E. coli carryover for CUT&RUN/CU…
bio-clip-seq-ago-clip-mirna-targets	bioskills	Identify direct miRNA-target interactions from AGO HITS-CLIP, AGO-CLEAR-CLIP (chimeric reads), HEAP (Halo-Ago2 mouse), chimeric eCLIP / miR-eCLIP (…
bio-clip-seq-binding-site-annotation	bioskills	Annotate CLIP-seq peaks or crosslink sites to RNA features (5’UTR, CDS, 3’UTR, intron, splice junction, snoRNA, tRNA, ncRNA, repeat elements) with…
bio-clip-seq-differential-clip	bioskills	Identify differentially bound regions across CLIP-seq conditions (knockdown vs control, treatment vs vehicle, disease vs healthy) using DEWSeq (sli…
bio-codon-usage	bioskills	Analyze codon usage, calculate CAI (Codon Adaptation Index), and examine synonymous codon bias using Biopython. Use when analyzing coding sequences…
bio-crispr-screens-batch-correction	bioskills	Batch effect correction for CRISPR screens covering ComBat empirical-Bayes, RUV, SVA, control-sgRNA normalization, and the model-based alternative…
bio-crispr-screens-batch-correction	bioskills	Batch effect correction for CRISPR screens covering ComBat empirical-Bayes, RUV, SVA, control-sgRNA normalization, and the model-based alternative…
bio-data-visualization-network-visualization	bioskills	Visualize biological networks (PPI, gene-regulatory, co-expression, pathway) with layout algorithm choice (ForceAtlas2, Fruchterman-Reingold, Kamad…
bio-data-visualization-volcano-and-ma-plots	bioskills	Build volcano and MA plots from differential-expression / association results with LFC shrinkage, FDR-adjusted thresholds, sensible label placement…
bio-de-deseq2-basics	bioskills	Perform differential expression analysis using DESeq2 in R/Bioconductor. Use for analyzing RNA-seq count data, creating DESeqDataSet objects, runni…
bio-de-edger-basics	bioskills	Perform differential expression analysis using edgeR in R/Bioconductor. Use for analyzing RNA-seq count data with the quasi-likelihood F-test frame…
bio-de-results	bioskills	Extract, filter, annotate, and export differential expression results from DESeq2 or edgeR. Use for identifying significant genes, applying multipl…
bio-differential-expression-batch-correction	bioskills	Remove batch effects from RNA-seq data using ComBat, ComBat-Seq, limma removeBatchEffect, and SVA for unknown batch variables. Use when correcting…
bio-differential-expression-batch-correction	bioskills	Remove batch effects from RNA-seq data using ComBat, ComBat-Seq, limma removeBatchEffect, and SVA for unknown batch variables. Use when correcting…
bio-differential-expression-timeseries-de	bioskills	Analyze time-series RNA-seq data using limma voom with splines, maSigPro, and ImpulseDE2. Identify genes with dynamic expression patterns. Use when…
bio-differential-splicing	bioskills	Detects differential alternative splicing between conditions using rMATS-turbo (binomial LRT on junction counts), leafcutter (Dirichlet-multinomial…
bio-epitranscriptomics-m6a-differential	bioskills	Identify differential m6A methylation between conditions from MeRIP-seq. Use when comparing epitranscriptomic changes between treatment groups or c…
bio-epitranscriptomics-m6a-peak-calling	bioskills	Call m6A peaks from MeRIP-seq IP vs input comparisons. Use when identifying m6A modification sites from methylated RNA immunoprecipitation data.
bio-epitranscriptomics-m6anet-analysis	bioskills	Detect m6A modifications from Oxford Nanopore direct RNA sequencing using m6Anet. Use when analyzing epitranscriptomic modifications from long-read…
bio-expression-matrix-counts-ingest	bioskills	Load gene expression count matrices from various formats including CSV, TSV, featureCounts, Salmon, kallisto, and 10X. Use when importing quantific…
bio-flow-cytometry-differential-analysis	bioskills	Differential abundance and state analysis for cytometry data. Compare cell populations between conditions using statistical methods. Use when testi…
bio-gene-regulatory-networks-differential-networks	bioskills	Compare gene regulatory and co-expression networks between biological conditions to identify rewired regulatory relationships using DiffCorr. Detec…
bio-gene-regulatory-networks-perturbation-simulation	bioskills	Simulate transcription factor perturbation effects on cell state using CellOracle, which integrates GRN inference with in silico knockout and overe…
bio-geo-data	bioskills	Query and download from NCBI Gene Expression Omnibus (GEO) and EMBL-EBI’s BioStudies/ArrayExpress mirror. Use when finding expression datasets, nav…
bio-immunoinformatics-immunogenicity-scoring	bioskills	Score and prioritize neoantigens and epitopes for immunogenicity using multi-factor models combining MHC binding, processing, expression, and seque…
bio-isoform-switching	bioskills	Analyzes differential transcript usage (DTU) and isoform switches with functional consequence prediction (NMD via 50nt rule, ORF disruption, protei…
bio-metabolomics-statistical-analysis	bioskills	Statistical analysis for metabolomics data. Covers preprocessing (log2 transformation, normalization), limma moderated testing with empirical Bayes…
bio-methylation-differential-cpg	bioskills	Per-CpG differential methylation testing from bisulfite sequencing count data or beta-value matrices. Covers beta and M-value computation, coverage…
bio-microbiome-differential-abundance	bioskills	Differential abundance testing for microbiome data using compositionally-aware methods like ALDEx2, ANCOM-BC2, and MaAsLin2. Use when identifying t…
bio-microbiome-differential-abundance	bioskills	Differential abundance testing for microbiome data using compositionally-aware methods like ALDEx2, ANCOM-BC2, and MaAsLin2. Use when identifying t…
bio-multi-omics-mofa-integration	bioskills	Multi-Omics Factor Analysis (MOFA2) for unsupervised integration of multiple data modalities. Identifies shared and view-specific sources of variat…
bio-pathway-go-enrichment	bioskills	Gene Ontology over-representation analysis using clusterProfiler enrichGO. Use when identifying biological functions enriched in a gene list from d…
bio-pathway-gsea	bioskills	Gene Set Enrichment Analysis using clusterProfiler gseGO and gseKEGG. Use when analyzing ranked gene lists to find coordinated expression changes i…
bio-proteomics-differential-abundance	bioskills	Statistical testing for differentially abundant proteins between conditions. Covers preprocessing (log2 transformation, normalization), limma and D…
bio-proteomics-differential-abundance	bioskills	Statistical testing for differentially abundant proteins between conditions. Covers preprocessing (log2 transformation, normalization), limma and D…
bio-reverse-complement	bioskills	Generate reverse complements and complements of DNA/RNA sequences using Biopython. Use when working with opposite strands, primer design, or conver…
bio-ribo-seq-translation-efficiency	bioskills	Calculate translation efficiency (TE) as the ratio of ribosome occupancy to mRNA abundance. Use when comparing translational regulation between con…
bio-rna-quantification-tximport-workflow	bioskills	Import transcript-level quantifications from Salmon/kallisto into R for gene-level analysis with DESeq2/edgeR using tximport or tximeta. Use when i…

…and 57 additional transcriptomics skills in the skills/bioskills/, skills/openclaw/, skills/omicsclaw/ directories.

Database Query

63 skills — UniProt, PDB, KEGG, Reactome, GEO, ClinVar, Ensembl, STRING.

View all 63 skills

Skill	Source	Description
bio-batch-downloads	bioskills	Download large datasets from NCBI efficiently using EPost, history server, batching, rate limiting, and retry logic. Use when bulk-fetching tens of…
bio-data-visualization-ggplot2-fundamentals	bioskills	Build publication-quality figures in R with ggplot2 using the grammar of graphics (data + aesthetics + geometries + scales + facets + themes) with…
bio-motif-search	bioskills	Find patterns, motifs, and subsequences in biological sequences using Biopython. Use when searching for transcription factor binding sites, regulat…
bio-restriction-sites	bioskills	Find restriction enzyme cut sites in DNA sequences using Biopython Bio.Restriction. Search with single enzymes, batches of enzymes, or commercially…
bio-retrosynthesis	bioskills	Performs retrosynthetic planning using AiZynthFinder (MCTS, template-based), Chemformer (template-free transformer), ASKCOS, and emerging RetroSynF…
biomni-general-agent	openclaw	Use the local Biomni checkout to orchestrate its 150+ biomedical tools, databases, and know-how workflows for complex research questions.
biomni-research-agent	openclaw	Bio-Research Generalist
chembl-search	openclaw	Search ChEMBL bioactive molecules database with natural language queries. Find compounds and assay data with Valyu semantic search.
deep-research	openclaw	Execute autonomous multi-step deep research on any topic. Use when the user asks for comprehensive research, literature reviews, competitive analys…
deep-research-swarm	openclaw	Multi-agent research literature analysis
knowledge-synthesis	openclaw	Combines search results from multiple sources into coherent, deduplicated answers with source attribution. Handles confidence scoring based on fres…
labstep	openclaw	Interact with the Labstep electronic lab notebook API using labstepPy. Query experiments, protocols, resources, inventory, and other lab entities.
literature-search	openclaw	Comprehensive scientific literature search across PubMed, arXiv, bioRxiv, medRxiv. Natural language querie

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