ReddRadar
Topic: openclaw-skills
1,539 skills in this topic.
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bio-small-rna-seq-smrna-preprocessing
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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etetoolkit
Phylogenetic tree toolkit (ETE). Tree manipulation (Newick/NHX), evolutionary event detection, orthology/paralogy, NCBI taxonomy, visualization (PDF/SVG), for phylogenomics.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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deepvariant
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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repro-enforcer
Export any bioinformatics analysis as a reproducible bundle with Conda environment, Singularity container definition, and Nextflow pipeline.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-splicing-qc
Assesses RNA-seq data quality for splicing analysis including junction saturation curves, splice site strength scoring, and junction coverage metrics using RSeQC. Use when evaluating data suitability for splicing analysis or troubleshooting low event detection.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-single-cell-cell-communication
Infer cell-cell communication networks from scRNA-seq data using CellChat, NicheNet, and LIANA for ligand-receptor interaction analysis. Use when inferring ligand-receptor interactions between cell types.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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filtering-best-practices
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-spatial-transcriptomics-spatial-domains
Identify spatial domains and tissue regions in spatial transcriptomics data using Squidpy and Scanpy. Cluster spots considering both expression and spatial context to define anatomical regions. Use when identifying tissue domains or spatial regions.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-rna-quantification-featurecounts-counting
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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trial-eligibility-agent
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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tooluniverse-protein-structure-retrieval
Retrieves protein structure data from RCSB PDB, PDBe, and AlphaFold with protein disambiguation, quality assessment, and comprehensive structural profiles. Creates detailed structure reports with experimental metadata, ligand information, and download links. Use when users need protein structures, 3D models, crystallography data, or mention PDB IDs (4-character codes like 1ABC) or UniProt accessions.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-epitranscriptomics-m6a-peak-calling
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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anndata
This skill should be used when working with annotated data matrices in Python, particularly for single-cell genomics analysis, managing experimental measurements with metadata, or handling large-scale biological datasets. Use when tasks involve AnnData objects, h5ad files, single-cell RNA-seq data, or integration with scanpy/scverse tools.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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clinical-interpretation
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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dispatching-parallel-agents
Use when facing 2+ independent tasks that can be worked on without shared state or sequential dependencies
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-batch-processing
Process multiple sequence files in batch using Biopython. Use when working with many files, merging/splitting sequences, or automating file operations across directories.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-workflows-atacseq-pipeline
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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tooluniverse-metabolomics-analysis
Analyze metabolomics data including metabolite identification, quantification, pathway analysis, and metabolic flux. Processes LC-MS, GC-MS, NMR data from targeted and untargeted experiments. Performs normalization, statistical analysis, pathway enrichment, metabolite-enzyme integration, and biomarker discovery. Use when analyzing metabolomics datasets, identifying differential metabolites, studying metabolic pathways, integrating with transcriptomics/proteomics, discovering metabolic biomarkers, performing flux balance analysis, or characterizing metabolic phenotypes in disease, drug response, or physiological conditions.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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tooluniverse-multi-omics-integration
Integrate and analyze multiple omics datasets (transcriptomics, proteomics, epigenomics, genomics, metabolomics) for systems biology and precision medicine. Performs cross-omics correlation, multi-omics clustering (MOFA+, NMF), pathway-level integration, and sample matching. Coordinates ToolUniverse skills for expression data (RNA-seq), epigenomics (methylation, ChIP-seq), variants (SNVs, CNVs), protein interactions, and pathway enrichment. Use when analyzing multi-omics datasets, performing integrative analysis, discovering multi-omics biomarkers, studying disease mechanisms across molecular layers, or conducting systems biology research that requires coordinated analysis of transcriptome, genome, epigenome, proteome, and metabolome data.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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labarchive-integration
Electronic lab notebook API integration. Access notebooks, manage entries/attachments, backup notebooks, integrate with Protocols.io/Jupyter/REDCap, for programmatic ELN workflows.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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deepchem
Molecular machine learning toolkit. Property prediction (ADMET, toxicity), GNNs (GCN, MPNN), MoleculeNet benchmarks, pretrained models, featurization, for drug discovery ML.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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vcf-basics
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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rehabilitation-analyzer
分析康复训练数据、识别康复模式、评估康复进展，并提供个性化康复建议
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-machine-learning-omics-classifiers
FreedomIntelligence/OpenClaw-Medical-Skills 2,009