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Agent skills
claude-code

Topic: claude-code

35,830 skills in this topic.

bio-workflows-multiome-pipeline
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-clinical-databases-gnomad-frequencies Query gnomAD for population allele frequencies to assess variant rarity. Use when filtering variants by population frequency for rare disease analysis or determining if a variant is common in the general population.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-chipseq-peak-annotation Annotate ChIP-seq peaks to genomic features and genes using ChIPseeker. Assign peaks to promoters, exons, introns, and intergenic regions. Find nearest genes and calculate distance to TSS. Generate annotation plots and statistics. Use when annotating ChIP-seq peaks to genomic features.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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
bio-ctdna-mutation-detection Detects somatic mutations in circulating tumor DNA using variant callers optimized for low allele fractions with UMI-based error suppression. Reliably detects mutations at VAF above 0.5 percent using consensus-based approaches. Use when identifying tumor mutations from plasma DNA or tracking specific variants.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-spatial-transcriptomics-spatial-visualization Visualize spatial transcriptomics data using Squidpy and Scanpy. Create tissue plots with gene expression, clusters, and annotations overlaid on histology images. Use when visualizing spatial expression patterns.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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
bio-microbiome-qiime2-workflow QIIME2 command-line workflow for 16S/ITS amplicon analysis. Alternative to DADA2/phyloseq R workflow with built-in provenance tracking. Use when preferring CLI over R, needing reproducible provenance, or working within QIIME2 ecosystem.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-workflows-methylation-pipeline
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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
bio-data-visualization-specialized-omics-plots
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-sequence-statistics Calculate sequence statistics (N50, length distribution, GC content, summary reports) using Biopython. Use when analyzing sequence datasets, generating QC reports, or comparing assemblies.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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
bio-reference-operations
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-small-rna-seq-mirdeep2-analysis
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-variant-calling-structural-variant-calling Call structural variants (SVs) from short-read sequencing using Manta, Delly, and LUMPY. Detects deletions, insertions, inversions, duplications, and translocations that are too large for standard SNV callers. Use when detecting structural variants from short-read data.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-read-qc-fastp-workflow All-in-one read preprocessing with fastp including adapter trimming, quality filtering, deduplication, base correction, and HTML report generation. Use when preprocessing Illumina data and wanting a single fast tool instead of separate Cutadapt, Trimmomatic, and FastQC steps.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-rna-quantification-featurecounts-counting
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-data-visualization-multipanel-figures
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-reporting-rmarkdown-reports
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-structural-biology-modern-structure-prediction Predict protein structures using modern ML models including AlphaFold3, ESMFold, Chai-1, and Boltz-1. Use when predicting structures for novel proteins, protein complexes, or when comparing predictions across multiple methods.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-molecular-io Reads, writes, and converts molecular file formats (SMILES, SDF, MOL2, PDB) using RDKit and Open Babel. Handles structure parsing, canonicalization, and full standardization pipeline including sanitization, normalization, and tautomer canonicalization. Use when loading chemical libraries, converting formats, or preparing molecules for analysis.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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
bio-workflows-genome-assembly-pipeline
FreedomIntelligence/OpenClaw-Medical-Skills 2,009