ReddRadar
Topic: medical
897 skills in this topic.
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spatial-communication
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-variant-calling-joint-calling
Joint genotype calling across multiple samples using GATK CombineGVCFs and GenotypeGVCFs. Essential for cohort studies, population genetics, and leveraging VQSR. Use when performing joint genotyping across multiple samples.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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spatial-data-io
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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spatial-deconvolution
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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gtex-database
Query GTEx (Genotype-Tissue Expression) portal for tissue-specific gene expression, eQTLs (expression quantitative trait loci), and sQTLs. Essential for linking GWAS variants to gene regulation, understanding tissue-specific expression, and interpreting non-coding variant effects.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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spatial-domains
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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single-cell-annotation-skills-with-omicverse
Guide Claude through SCSA, MetaTiME, CellVote, CellMatch, GPTAnno, and weighted KNN transfer workflows for annotating single-cell modalities.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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spatial-multiomics
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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spatial-neighbors
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-tcr-bcr-analysis-immcantation-analysis
Analyze BCR repertoires for somatic hypermutation, clonal lineages, and B cell phylogenetics using the Immcantation framework. Use when studying B cell affinity maturation, germinal center dynamics, or antibody evolution.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-systems-biology-model-curation
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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spatial-preprocessing
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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simulation-validator
Validate simulations before, during, and after execution. Use for pre-flight checks, runtime monitoring, post-run validation, diagnosing failed simulations, checking convergence, detecting NaN/Inf, or verifying mass/energy conservation.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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simulation-orchestrator
Orchestrate multi-simulation campaigns including parameter sweeps, batch jobs, and result aggregation. Use for running parameter studies, managing simulation batches, tracking job status, combining results from multiple runs, or automating simulation workflows.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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spatial-proteomics
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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simpy
Process-based discrete-event simulation framework in Python. Use this skill when building simulations of systems with processes, queues, resources, and time-based events such as manufacturing systems, service operations, network traffic, logistics, or any system where entities interact with shared resources over time.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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pytdc
Therapeutics Data Commons. AI-ready drug discovery datasets (ADME, toxicity, DTI), benchmarks, scaffold splits, molecular oracles, for therapeutic ML and pharmacological prediction.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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biomni-general-agent
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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histolab
Digital pathology image processing toolkit for whole slide images (WSI). Use this skill when working with histopathology slides, processing H&E or IHC stained tissue images, extracting tiles from gigapixel pathology images, detecting tissue regions, segmenting tissue masks, or preparing datasets for computational pathology deep learning pipelines. Applies to WSI formats (SVS, TIFF, NDPI), tile-based analysis, and histological image preprocessing workflows.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-single-cell-doublet-detection
Detect and remove doublets (multiple cells captured in one droplet) from single-cell RNA-seq data. Uses Scrublet (Python), DoubletFinder (R), and scDblFinder (R). Essential QC step before clustering to avoid artificial cell populations. Use when identifying and removing doublets from scRNA-seq data.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-single-cell-multimodal-integration
Analyze multi-modal single-cell data (CITE-seq, Multiome, spatial). Use when working with data that measures multiple modalities per cell like RNA + protein or RNA + ATAC. Use when analyzing CITE-seq, Multiome, or other multi-modal single-cell data.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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tcell-exhaustion-analysis-agent
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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struct-predictor
Local protein structure prediction with AlphaFold, Boltz, or Chai. Compare predicted structures, compute RMSD, visualise 3D models.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bulktrajblend-trajectory-interpolation
Extend scRNA-seq developmental trajectories with BulkTrajBlend by generating intermediate cells from bulk RNA-seq, training beta-VAE and GNN models, and interpolating missing states.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009