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Agent skills
claude-code

Topic: claude-code

35,830 skills in this topic.

bio-data-visualization-circos-plots
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-batch-downloads
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-copy-number-cnv-visualization Visualize copy number profiles, segments, and compare across samples. Create publication-quality plots of CNV data from CNVkit, GATK, or other callers. Use when creating genome-wide CNV plots, sample heatmaps, or chromosome-level visualizations.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-chipseq-visualization Visualize ChIP-seq data using deepTools, Gviz, and ChIPseeker. Create heatmaps, profile plots, and genome browser tracks. Visualize signal around peaks, TSS, or custom regions. Use when visualizing ChIP-seq signal and peaks.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-expression-matrix-sparse-handling
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-epidemiological-genomics-phylodynamics Construct time-scaled phylogenies and infer evolutionary dynamics using TreeTime and BEAST2 for outbreak analysis. Estimate divergence times, molecular clock rates, and ancestral states. Use when dating outbreak origins, estimating transmission rates, or building time-calibrated trees.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-long-read-sequencing-isoseq-analysis Analyze PacBio Iso-Seq data for full-length isoform discovery and quantification. Use when characterizing transcript diversity or identifying novel splice variants.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-metabolomics-msdial-preprocessing MS-DIAL-based metabolomics preprocessing as alternative to XCMS. Covers peak detection, alignment, annotation, and export for downstream analysis. Use when processing MS-DIAL output files for R/Python analysis or when preferring GUI-based preprocessing.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-data-visualization-interactive-visualization
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-entrez-link
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-imaging-mass-cytometry-cell-segmentation Cell segmentation from multiplexed tissue images. Covers deep learning (Cellpose, Mesmer) and classical approaches for nuclear and whole-cell segmentation. Use when extracting single-cell data from IMC or MIBI images after preprocessing.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-paired-end-fastq Handle paired-end FASTQ files (R1/R2) using Biopython. Use when working with Illumina paired reads, synchronizing pairs, interleaving/deinterleaving, or filtering paired data.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-methylation-based-detection Analyzes cfDNA methylation patterns for cancer detection using cfMeDIP-seq or bisulfite sequencing with MethylDackel. Identifies cancer-specific methylation signatures and performs tissue-of-origin deconvolution. Use when using methylation biomarkers for early cancer detection or minimal residual disease.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-crispr-screens-library-design CRISPR library design for genetic screens. Covers sgRNA selection, library composition, control design, and oligo ordering. Use when designing custom sgRNA libraries for knockout, activation, or interference screens.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-genome-intervals-proximity-operations
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-longread-medaka Polish assemblies and call variants from Oxford Nanopore data using medaka. Uses neural networks trained on specific basecaller versions. Use when improving ONT-only assemblies or calling variants from Nanopore data without short-read polishing.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-longread-qc Quality control for long-read sequencing data using NanoPlot, NanoStat, and chopper. Generate QC reports, filter reads by length and quality, and visualize read characteristics. Use when assessing ONT or PacBio run quality or filtering reads before assembly or alignment.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-de-edger-basics Perform differential expression analysis using edgeR in R/Bioconductor. Use for analyzing RNA-seq count data with the quasi-likelihood F-test framework, creating DGEList objects, normalization, dispersion estimation, and statistical testing. Use when performing DE analysis with edgeR.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-de-results Extract, filter, annotate, and export differential expression results from DESeq2 or edgeR. Use for identifying significant genes, applying multiple testing corrections, adding gene annotations, and preparing results for downstream analysis. Use when filtering and exporting DE analysis results.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-imaging-mass-cytometry-spatial-analysis Spatial analysis of cell neighborhoods and interactions in IMC data. Covers neighbor graphs, spatial statistics, and interaction testing. Use when analyzing spatial relationships between cell types, testing for neighborhood enrichment, or identifying cell-cell interaction patterns in imaging mass cytometry data.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
benchling-integration Benchling R&D platform integration. Access registry (DNA, proteins), inventory, ELN entries, workflows via API, build Benchling Apps, query Data Warehouse, for lab data management automation.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-clinical-databases-clinvar-lookup Query ClinVar for variant pathogenicity classifications, review status, and disease associations via REST API or local VCF. Use when determining clinical significance of variants for diagnostic or research purposes.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-alignment-msa-statistics Calculate alignment statistics including sequence identity, conservation scores, substitution matrices, and similarity metrics. Use when comparing alignment quality, measuring sequence divergence, and analyzing evolutionary patterns.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-hi-c-analysis-matrix-operations Balance, normalize, and transform Hi-C contact matrices using cooler and cooltools. Apply iterative correction (ICE), compute expected values, and generate observed/expected matrices. Use when normalizing or transforming Hi-C matrices.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009