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Agent skills
claude-code

Topic: claude-code

35,830 skills in this topic.

bio-population-genetics-association-testing
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
geopandas Python library for working with geospatial vector data including shapefiles, GeoJSON, and GeoPackage files. Use when working with geographic data for spatial analysis, geometric operations, coordinate transformations, spatial joins, overlay operations, choropleth mapping, or any task involving reading/writing/analyzing vector geographic data. Supports PostGIS databases, interactive maps, and integration with matplotlib/folium/cartopy. Use for tasks like buffer analysis, spatial joins between datasets, dissolving boundaries, clipping data, calculating areas/distances, reprojecting coordinate systems, creating maps, or converting between spatial file formats.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-chipseq-motif-analysis De novo motif discovery and known motif enrichment analysis using HOMER and MEME-ChIP. Identify transcription factor binding motifs in ChIP-seq, ATAC-seq, or other genomic peak data. Use when finding enriched DNA motifs in peak sequences.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
cellfree-rna-agent
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-multi-omics-similarity-network Similarity Network Fusion (SNF) for patient stratification using multi-omics data. Integrates multiple data types into a unified patient similarity network. Use when performing patient stratification or integrating multi-omics data into unified similarity networks.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
hypothesis-generation Generate testable hypotheses. Formulate from observations, design experiments, explore competing explanations, develop predictions, propose mechanisms, for scientific inquiry across domains.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-virtual-screening Performs structure-based virtual screening using AutoDock Vina 1.2 for molecular docking. Prepares receptor PDBQT files, generates ligand conformers, defines binding site boxes, and ranks compounds by predicted binding affinity. Use when screening chemical libraries against a protein structure to find potential binders.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
spatial-preprocessing
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
transformers This skill should be used when working with pre-trained transformer models for natural language processing, computer vision, audio, or multimodal tasks. Use for text generation, classification, question answering, translation, summarization, image classification, object detection, speech recognition, and fine-tuning models on custom datasets.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
spatial-proteomics
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-research-tools-biomarker-signature-studio
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
numerical-integration Select and configure time integration methods for ODE/PDE simulations. Use when choosing explicit/implicit schemes, setting error tolerances, adapting time steps, diagnosing integration accuracy, planning IMEX splitting, or handling stiff/non-stiff coupled systems.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
pharmacogenomics-agent
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
adaptyv Cloud laboratory platform for automated protein testing and validation. Use when designing proteins and needing experimental validation including binding assays, expression testing, thermostability measurements, enzyme activity assays, or protein sequence optimization. Also use for submitting experiments via API, tracking experiment status, downloading results, optimizing protein sequences for better expression using computational tools (NetSolP, SoluProt, SolubleMPNN, ESM), or managing protein design workflows with wet-lab validation.
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
tooluniverse-gwas-finemapping Identify and prioritize causal variants at GWAS loci using statistical fine-mapping and locus-to-gene predictions. Computes posterior probabilities for causal variants, links variants to genes via L2G predictions, annotates functional consequences, and suggests validation strategies. Use when asked to fine-map GWAS loci, prioritize causal variants, identify credible sets, or link GWAS signals to causal genes.
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-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-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-comparative-genomics-synteny-analysis
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-data-visualization-multipanel-figures
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
bio-atac-seq-differential-accessibility Find differentially accessible chromatin regions between conditions using DiffBind or DESeq2. Use when comparing chromatin accessibility between treatment groups, cell types, or developmental stages in ATAC-seq experiments.
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