Topic: claude-code
35,830 skills in this topic.
-
bio-reference-operations
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
-
bio-machine-learning-omics-classifiers
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
-
bio-hi-c-analysis-compartment-analysis
Detect A/B compartments from Hi-C data using cooltools and eigenvector decomposition. Identify active (A) and inactive (B) chromatin compartments from contact matrices. Use when identifying A/B compartments from Hi-C 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-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-format-conversion
Convert between sequence file formats (FASTA, FASTQ, GenBank, EMBL) using Biopython Bio.SeqIO. Use when changing file formats or preparing data for different tools.
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-hi-c-analysis-tad-detection
Call topologically associating domains (TADs) from Hi-C data using insulation score, HiCExplorer, and other methods. Identify domain boundaries and hierarchical domain structure. Use when calling TADs from Hi-C insulation scores.
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-genome-intervals-bed-file-basics
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-data-visualization-multipanel-figures
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
-
bio-methylation-dmr-detection
Differentially methylated region (DMR) detection using methylKit tiles, bsseq BSmooth, and DMRcate. Use when identifying contiguous genomic regions with methylation differences between experimental conditions or cell types.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
-
bio-read-qc-adapter-trimming
Remove sequencing adapters from FASTQ files using Cutadapt and Trimmomatic. Supports single-end and paired-end reads, Illumina TruSeq, Nextera, and custom adapter sequences. Use when FastQC shows adapter contamination or before alignment of short reads.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
-
bio-phylo-tree-io
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-crispr-screens-screen-qc
Quality control for pooled CRISPR screens. Covers library representation, read distribution, replicate correlation, and essential gene recovery. Use when assessing screen quality before hit calling or diagnosing poor screen performance.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
-
bio-data-visualization-specialized-omics-plots
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
-
bio-read-alignment-bowtie2-alignment
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
-
bio-epitranscriptomics-m6a-peak-calling
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
-
bio-isoform-switching
Analyzes isoform switching events and functional consequences using IsoformSwitchAnalyzeR. Predicts protein domain changes, NMD sensitivity, ORF alterations, and coding potential shifts between conditions. Use when investigating how splicing changes affect protein function.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
-
bio-experimental-design-sample-size
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
-
bio-reporting-rmarkdown-reports
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