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Topic: clawhub

924 skills in this topic.

tooluniverse-statistical-modeling Perform statistical modeling and regression analysis on biomedical datasets. Supports linear regression, logistic regression (binary/ordinal/multinomial), mixed-effects models, Cox proportional hazards survival analysis, Kaplan-Meier estimation, and comprehensive model diagnostics. Extracts odds ratios, hazard ratios, confidence intervals, p-values, and effect sizes. Designed to solve BixBench statistical reasoning questions involving clinical/experimental data. Use when asked to fit regression models, compute odds ratios, perform survival analysis, run statistical tests, or interpret model coefficients from provided data.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-machine-learning-atlas-mapping
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
umap-learn UMAP dimensionality reduction. Fast nonlinear manifold learning for 2D/3D visualization, clustering preprocessing (HDBSCAN), supervised/parametric UMAP, for high-dimensional data.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
scikit-learn Machine learning in Python with scikit-learn. Use when working with supervised learning (classification, regression), unsupervised learning (clustering, dimensionality reduction), model evaluation, hyperparameter tuning, preprocessing, or building ML pipelines. Provides comprehensive reference documentation for algorithms, preprocessing techniques, pipelines, and best practices.
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
bio-comparative-genomics-hgt-detection
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-multi-omics-mixomics-analysis Supervised and unsupervised multi-omics integration with mixOmics. Includes sPLS for pairwise integration and DIABLO for multi-block discriminant analysis. Use when performing supervised multi-omics integration or identifying features that discriminate between groups.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-chipseq-differential-binding Differential binding analysis using DiffBind. Compare ChIP-seq peaks between conditions with statistical rigor. Requires replicate samples. Outputs differentially bound regions with fold changes and p-values. Use when comparing ChIP-seq binding between conditions.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
spatial-communication
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-codon-usage
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-crispr-screens-base-editing-analysis Analyzes base editing and prime editing outcomes including editing efficiency, bystander edits, and indel frequencies. Use when quantifying CRISPR base editor results, comparing ABE vs CBE efficiency, or assessing prime editing fidelity.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-crispr-screens-batch-correction Batch effect correction for CRISPR screens. Covers normalization across batches, technical replicate handling, and batch-aware analysis. Use when combining screens from multiple batches or correcting systematic technical variation.
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-metagenomics-metaphlan Marker gene-based taxonomic profiling using MetaPhlAn 4. Provides accurate species-level relative abundances using clade-specific markers. Use when accurate taxonomic profiling is needed and computational resources are limited, or for comparison with HMP/other MetaPhlAn studies.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
single-trajectory-analysis Guide to reproducing OmicVerse trajectory workflows spanning PAGA, Palantir, VIA, velocity coupling, and fate scoring notebooks.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
tooluniverse-sequence-retrieval Retrieves biological sequences (DNA, RNA, protein) from NCBI and ENA with gene disambiguation, accession type handling, and comprehensive sequence profiles. Creates detailed reports with sequence metadata, cross-database references, and download options. Use when users need nucleotide sequences, protein sequences, genome data, or mention GenBank, RefSeq, EMBL accessions.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-clip-seq-clip-preprocessing
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
spatial-neighbors
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-copy-number-cnv-annotation Annotate CNVs with genes, pathways, and clinical significance. Use when interpreting CNV calls or identifying affected genes from copy number analysis.
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
bio-causal-genomics-colocalization-analysis Test whether two traits share a causal variant at a genomic locus using Bayesian colocalization with coloc. Computes posterior probabilities for shared vs distinct causal variants between GWAS and eQTL signals. Use when determining if a GWAS signal and an eQTL share the same causal variant.
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-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
scientific-problem-selection This skill should be used when scientists need help with research problem selection, project ideation, troubleshooting stuck projects, or strategic scientific decisions. Use this skill when users ask to pitch a new research idea, work through a project problem, evaluate project risks, plan research strategy, navigate decision trees, or get help choosing what scientific problem to work on. Typical requests include "I have an idea for a project", "I'm stuck on my research", "help me evaluate this project", "what should I work on", or "I need strategic advice about my research".
FreedomIntelligence/OpenClaw-Medical-Skills 2,009