Topic: openclaw-skills
1,539 skills in this topic.
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data-visualization-expert
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-filter-sequences
Filter and select sequences by criteria (length, ID, GC content, patterns) using Biopython. Use when subsetting sequences, removing unwanted records, or selecting by specific criteria.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-fastq-quality
Work with FASTQ quality scores using Biopython. Use when analyzing read quality, filtering by quality, trimming low-quality bases, or generating quality reports.
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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bio-transcription-translation
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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virtual-lab-agent
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-read-alignment-hisat2-alignment
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-experimental-design-multiple-testing
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
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bio-systems-biology-gene-essentiality
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-workflow-management-snakemake-workflows
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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leads-literature-mining
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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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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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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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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tooluniverse-chemical-safety
Comprehensive chemical safety and toxicology assessment integrating ADMET-AI predictions, CTD toxicogenomics, FDA label safety data, DrugBank safety profiles, and STITCH chemical-protein interactions. Performs predictive toxicology (AMES, DILI, LD50, carcinogenicity), organ/system toxicity profiling, chemical-gene-disease relationship mapping, regulatory safety extraction, and environmental hazard assessment. Use when asked about chemical toxicity, drug safety profiling, ADMET properties, environmental health risks, chemical hazard assessment, or toxicogenomic analysis.
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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universal-single-cell-annotator
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-phylo-tree-manipulation
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