Topic: openclaw-skills
1,539 skills in this topic.
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nextflow-development
Run nf-core bioinformatics pipelines (rnaseq, sarek, atacseq) on sequencing data. Use when analyzing RNA-seq, WGS/WES, or ATAC-seq data—either local FASTQs or public datasets from GEO/SRA. Triggers on nf-core, Nextflow, FASTQ analysis, variant calling, gene expression, differential expression, GEO reanalysis, GSE/GSM/SRR accessions, or samplesheet creation.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-chipseq-peak-calling
ChIP-seq peak calling using MACS3 (or MACS2). Call narrow peaks for transcription factors or broad peaks for histone modifications. Supports input control, fragment size modeling, and various output formats including narrowPeak and broadPeak BED files. Use when calling peaks from ChIP-seq alignments.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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virtual-lab-agent
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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radgpt-radiology-reporter
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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regulatory-drafting
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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galaxy-bridge
Galaxy tool discovery, intelligent recommendation, and execution — 8,000+ bioinformatics tools from usegalaxy.org with multi-signal scoring and workflow suggestions
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-microbiome-differential-abundance
Differential abundance testing for microbiome data using compositionally-aware methods like ALDEx2, ANCOM-BC2, and MaAsLin2. Use when identifying taxa that differ between experimental groups while accounting for the compositional nature of microbiome data.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bindingdb-database
Query BindingDB for measured drug-target binding affinities (Ki, Kd, IC50, EC50). Search by target (UniProt ID), compound (SMILES/name), or pathogen. Essential for drug discovery, lead optimization, polypharmacology analysis, and structure-activity relationship (SAR) studies.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-fragment-analysis
Analyzes cfDNA fragment size distributions and fragmentomics features using FinaleToolkit or Griffin. Extracts nucleosome positioning patterns, fragment ratios, and DELFI-style fragmentation profiles for cancer detection. Use when leveraging fragment patterns for tumor detection or tissue-of-origin analysis.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-entrez-fetch
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-flow-cytometry-gating-analysis
Manual and automated gating for defining cell populations in flow cytometry. Covers rectangular, polygon, and data-driven gates. Use when identifying cell populations through hierarchical gating strategies.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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neurokit2
Comprehensive biosignal processing toolkit for analyzing physiological data including ECG, EEG, EDA, RSP, PPG, EMG, and EOG signals. Use this skill when processing cardiovascular signals, brain activity, electrodermal responses, respiratory patterns, muscle activity, or eye movements. Applicable for heart rate variability analysis, event-related potentials, complexity measures, autonomic nervous system assessment, psychophysiology research, and multi-modal physiological signal integration.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-causal-genomics-mediation-analysis
Decompose genetic effects into direct and indirect paths through mediating variables using the mediation R package. Tests whether gene expression, methylation, or other molecular phenotypes mediate the effect of genetic variants on disease. Use when testing whether a molecular phenotype mediates the genotype-to-phenotype relationship.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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universal-single-cell-annotator
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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tooluniverse-single-cell
Production-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.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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clinical-diagnostic-reasoning
Identify and counteract cognitive biases in medical decision-making through systematic error analysis and contextual algorithm application. For diagnostic reasoning, treatment decisions, and clinical judgment improvement. NOT for basic medical knowledge, technical procedures, or non-clinical healthcare domains.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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tooluniverse-gwas-study-explorer
Compare GWAS studies, perform meta-analyses, and assess replication across cohorts. Integrates NHGRI-EBI GWAS Catalog and Open Targets Genetics to compare study designs, effect sizes, ancestry diversity, and heterogeneity statistics. Use when comparing GWAS studies for a trait, performing meta-analysis of genetic loci, assessing replication across cohorts, or exploring the genetic architecture of complex diseases.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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aav-vector-design-agent
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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tooluniverse-spatial-omics-analysis
Computational analysis framework for spatial multi-omics data integration. Given spatially variable genes (SVGs), spatial domain annotations, tissue type, and disease context from spatial transcriptomics/proteomics experiments (10x Visium, MERFISH, DBiTplus, SLIDE-seq, etc.), performs comprehensive biological interpretation including pathway enrichment, cell-cell interaction inference, druggable target identification, immune microenvironment characterization, and multi-modal integration. Produces a detailed markdown report with Spatial Omics Integration Score (0-100), domain-by-domain characterization, and validation recommendations. Uses 70+ ToolUniverse tools across 9 analysis phases. Use when users ask about spatial transcriptomics analysis, spatial omics interpretation, tissue heterogeneity, spatial gene expression patterns, tumor microenvironment mapping, tissue zonation, or cell-cell communication from spatial data.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-differential-expression-timeseries-de
Analyze time-series RNA-seq data using limma voom with splines, maSigPro, and ImpulseDE2. Identify genes with dynamic expression patterns. Use when analyzing time-series or longitudinal expression data.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-read-sequences
Read biological sequence files (FASTA, FASTQ, GenBank, EMBL, ABI, SFF) using Biopython Bio.SeqIO. Use when parsing sequence files, iterating multi-sequence files, random access to large files, or high-performance parsing.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-phasing-imputation-haplotype-phasing
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-transcription-translation
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-single-cell-batch-integration
Integrate multiple scRNA-seq samples/batches using Harmony, scVI, Seurat anchors, and fastMNN. Remove technical variation while preserving biological differences. Use when integrating multiple scRNA-seq batches or datasets.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009