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Agent skills
claude-code

Topic: claude-code

35,830 skills in this topic.

bio-proteomics-peptide-identification Peptide-spectrum matching and protein identification from MS/MS data. Use when identifying peptides from tandem mass spectra. Covers database searching, spectral library matching, and FDR estimation using target-decoy approaches.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-genome-assembly-long-read-assembly
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-pathway-enrichment-visualization Visualize enrichment results using enrichplot package functions. Use when creating publication-quality figures from clusterProfiler results. Covers dotplot, barplot, cnetplot, emapplot, gseaplot2, ridgeplot, and treeplot.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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
bio-metagenomics-functional-profiling Profile functional potential of metagenomes using HUMAnN3 and similar tools. Use when obtaining pathway abundances, gene family counts, or functional annotations from metagenomic data.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-comparative-genomics-hgt-detection
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-workflows-metagenomics-pipeline
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-read-qc-umi-processing Extract, process, and deduplicate reads using Unique Molecular Identifiers (UMIs) with umi_tools. Use when library prep includes UMIs and accurate molecule counting is needed, such as in single-cell RNA-seq, low-input RNA-seq, or targeted sequencing to distinguish PCR from biological duplicates.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-splicing-quantification Quantifies alternative splicing events (PSI/percent spliced in) from RNA-seq using SUPPA2 from transcript TPM or rMATS-turbo from BAM files. Calculates inclusion levels for skipped exons, alternative splice sites, mutually exclusive exons, and retained introns. Use when measuring splice site usage or isoform ratios from RNA-seq data.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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
bioservices Primary Python tool for 40+ bioinformatics services. Preferred for multi-database workflows: UniProt, KEGG, ChEMBL, PubChem, Reactome, QuickGO. Unified API for queries, ID mapping, pathway analysis. For direct REST control, use individual database skills (uniprot-database, kegg-database).
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-clinical-databases-polygenic-risk Calculate polygenic risk scores using PRSice-2, LDpred2, or PRS-CS from GWAS summary statistics. Use when predicting disease risk from genome-wide genetic variants.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-data-visualization-genome-tracks
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-flow-cytometry-bead-normalization Bead-based normalization for CyTOF and high-parameter flow cytometry. Covers EQ bead normalization, signal drift correction, and batch normalization. Use when correcting instrument drift in CyTOF or harmonizing data across batches.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-alignment-files-bam-statistics
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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
bio-sequence-similarity
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
cellular-senescence-agent
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
cellfree-rna-agent
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
chromosomal-instability-agent
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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
bio-crispr-screens-hit-calling Statistical methods for calling hits in CRISPR screens. Covers MAGeCK, BAGEL2, drugZ, and custom approaches for identifying essential and resistance genes. Use when identifying significant genes from screen count data after QC passes.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-expression-matrix-gene-id-mapping
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-spatial-transcriptomics-spatial-statistics Compute spatial statistics for spatial transcriptomics data using Squidpy. Calculate Moran's I, Geary's C, spatial autocorrelation, co-occurrence analysis, and neighborhood enrichment. Use when computing spatial autocorrelation or co-occurrence statistics.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009