Agent skills
Skills you can use with AI coding agents, indexed from public GitHub repositories.
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tooluniverse-drug-repurposing
Identify drug repurposing candidates using ToolUniverse for target-based, compound-based, and disease-driven strategies. Searches existing drugs for new therapeutic indications by analyzing targets, bioactivity, safety profiles, and literature evidence. Use when exploring drug repurposing opportunities, finding new indications for approved drugs, or when users mention drug repositioning, off-label uses, or therapeutic alternatives.
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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variant-interpretation-acmg
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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varCADD
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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consensus-sequences
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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deepvariant
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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variant-annotation
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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vcf-statistics
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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gatk-variant-calling
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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joint-calling
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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variant-normalization
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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filtering-best-practices
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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variant-calling
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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vcf-basics
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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vcf-manipulation
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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structural-variant-calling
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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clinical-interpretation
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-small-rna-seq-smrna-preprocessing
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-single-cell-markers-annotation
Find marker genes and annotate cell types in single-cell RNA-seq using Seurat (R) and Scanpy (Python). Use for differential expression between clusters, identifying cluster-specific markers, scoring gene sets, and assigning cell type labels. Use when finding marker genes and annotating clusters.
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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bio-de-visualization
Visualize differential expression results using DESeq2/edgeR built-in functions. Covers plotMA, plotDispEsts, plotCounts, plotBCV, sample distance heatmaps, and p-value histograms. Use when visualizing differential expression results.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-pathway-gsea
Gene Set Enrichment Analysis using clusterProfiler gseGO and gseKEGG. Use when analyzing ranked gene lists to find coordinated expression changes in gene sets without arbitrary significance cutoffs. Detects subtle but coordinated expression changes.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-immunoinformatics-immunogenicity-scoring
Score and prioritize neoantigens and epitopes for immunogenicity using multi-factor models combining MHC binding, processing, expression, and sequence features. Rank candidates for vaccine design. Use when prioritizing epitopes for vaccine development or identifying the most immunogenic neoantigens.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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spatial-transcriptomics-agent
FreedomIntelligence/OpenClaw-Medical-Skills 2,009