Topic: openclaw
3,425 skills in this topic.
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epidemiologist-analyst
Analyzes disease patterns and health events through epidemiological lens using surveillance systems,
outbreak investigation methods, and disease modeling frameworks.
Provides insights on disease spread, risk factors, prevention strategies, and public health interventions.
Use when: Disease outbreaks, health policy evaluation, risk assessment, intervention planning.
Evaluates: Transmission dynamics, risk factors, causality, population health impact, intervention effectiveness.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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reactome-database
Query Reactome REST API for pathway analysis, enrichment, gene-pathway mapping, disease pathways, molecular interactions, expression analysis, for systems biology studies.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-clip-seq-clip-peak-calling
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-clinical-databases-variant-prioritization
Filter and prioritize variants by pathogenicity, population frequency, and clinical evidence for rare disease analysis. Use when identifying candidate disease-causing variants from exome or genome sequencing.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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esm
Comprehensive toolkit for protein language models including ESM3 (generative multimodal protein design across sequence, structure, and function) and ESM C (efficient protein embeddings and representations). Use this skill when working with protein sequences, structures, or function prediction; designing novel proteins; generating protein embeddings; performing inverse folding; or conducting protein engineering tasks. Supports both local model usage and cloud-based Forge API for scalable inference.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-causal-genomics-mendelian-randomization
Estimate causal effects between exposures and outcomes using genetic variants as instrumental variables with TwoSampleMR. Implements IVW, MR-Egger, weighted median, and MR-PRESSO methods for robust causal inference from GWAS summary statistics. Use when testing whether an exposure causally affects an outcome using genetic instruments.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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simo-multiomics-integration-agent
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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tooluniverse-drug-research
Generates comprehensive drug research reports with compound disambiguation, evidence grading, and mandatory completeness sections. Covers identity, chemistry, pharmacology, targets, clinical trials, safety, pharmacogenomics, and ADMET properties. Use when users ask about drugs, medications, therapeutics, or need drug profiling, safety assessment, or clinical development research.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-genome-intervals-interval-arithmetic
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-flow-cytometry-doublet-detection
Detect and remove doublets from flow and mass cytometry data. Covers FSC/SSC gating and computational doublet detection methods. Use when filtering out cell aggregates before clustering or quantitative analysis.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-hi-c-analysis-hic-data-io
Load, convert, and manipulate Hi-C contact matrices using cooler format. Read .cool/.mcool files, convert from .hic format, access matrix data, and export to different formats. Use when loading or converting Hi-C contact matrices.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-restriction-fragment-analysis
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-flow-cytometry-compensation-transformation
Spillover compensation and data transformation for flow cytometry. Covers compensation matrix calculation, application, and biexponential/arcsinh transforms. Use when correcting spectral overlap between fluorophores or transforming data for analysis.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-long-read-sequencing-nanopore-methylation
Calls DNA methylation from Oxford Nanopore sequencing data using signal-level analysis. Use when detecting 5mC or 6mA modifications directly from nanopore reads without bisulfite conversion.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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single-cell-cellphonedb-communication-mapping
Run omicverse's CellPhoneDB v5 wrapper on annotated single-cell data to infer ligand-receptor networks and produce CellChat-style visualisations.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-genome-assembly-short-read-assembly
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-imaging-mass-cytometry-phenotyping
Cell type assignment from marker expression in IMC data. Covers manual gating, clustering, and automated classification approaches. Use when assigning cell types to segmented IMC cells based on protein marker expression or when phenotyping cells in multiplexed imaging data.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-imaging-mass-cytometry-interactive-annotation
Interactive cell type annotation for IMC data. Covers napari-based annotation, marker-guided labeling, training data generation, and annotation validation. Use when manually annotating cell types for training classifiers or validating automated phenotyping results.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-metabolomics-metabolite-annotation
Metabolite identification from m/z and retention time. Covers database matching, MS/MS spectral matching, and confidence level assignment. Use when assigning compound identities to detected features in untargeted metabolomics.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-metagenomics-kraken
Taxonomic classification of metagenomic reads using Kraken2. Fast k-mer based classification against RefSeq database. Use when performing initial taxonomic classification of shotgun metagenomic reads before abundance estimation with Bracken.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-immunoinformatics-mhc-binding-prediction
Predict peptide-MHC class I and II binding affinity using MHCflurry and NetMHCpan neural network models. Identify potential T-cell epitopes from protein sequences. Use when predicting MHC binding for vaccine design or neoantigen identification.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-genome-engineering-off-target-prediction
Predict CRISPR off-target sites using Cas-OFFinder and CFD scoring algorithms. Identify potential unintended cleavage sites genome-wide and assess guide specificity. Use when evaluating guide RNA specificity or selecting guides with minimal off-target risk.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-genome-engineering-grna-design
Design guide RNAs for CRISPR-Cas9/Cas12a experiments using CRISPRscan and local scoring algorithms. Score guides for on-target activity using Rule Set 2 and Azimuth models. Use when designing sgRNAs for gene knockout, activation, or repression experiments.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-metabolomics-normalization-qc
Quality control and normalization for metabolomics data. Covers QC-based correction, batch effect removal, and data transformation methods. Use when correcting technical variation in metabolomics data before statistical analysis.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009