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Topic: awesome

1,258 skills in this topic.

bio-single-cell-markers-annotation Find marker genes and annotate cell types in single-cell RNA-seq using Seurat (R) and Scanpy (Python). Use for differential expression between clusters, identifying cluster-specific markers, scoring gene sets, and assigning cell type labels. Use when finding marker genes and annotating clusters.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-read-qc-contamination-screening Detect sample contamination and cross-species reads using FastQ Screen. Screen reads against multiple reference genomes to identify bacterial, viral, adapter, or sample swap contamination. Use when suspecting cross-contamination or working with samples prone to microbial contamination.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-metabolomics-targeted-analysis Targeted metabolomics analysis using MRM/SRM with standard curves. Covers absolute quantification, method validation, and quality assessment. Use when quantifying specific metabolites using calibration curves and internal standards.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
tooluniverse-gwas-snp-interpretation Interpret genetic variants (SNPs) from GWAS studies by aggregating evidence from multiple databases (GWAS Catalog, Open Targets Genetics, ClinVar). Retrieves variant annotations, GWAS trait associations, fine-mapping evidence, locus-to-gene predictions, and clinical significance. Use when asked to interpret a SNP by rsID, find disease associations for a variant, assess clinical significance, or answer questions like "What diseases is rs429358 associated with?" or "Interpret rs7903146".
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-machine-learning-survival-analysis
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-workflow-management-snakemake-workflows
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
universal-single-cell-annotator
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-read-alignment-hisat2-alignment
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-rna-quantification-count-matrix-qc
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
tooluniverse-gwas-study-explorer Compare GWAS studies, perform meta-analyses, and assess replication across cohorts. Integrates NHGRI-EBI GWAS Catalog and Open Targets Genetics to compare study designs, effect sizes, ancestry diversity, and heterogeneity statistics. Use when comparing GWAS studies for a trait, performing meta-analysis of genetic loci, assessing replication across cohorts, or exploring the genetic architecture of complex diseases.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
single-cell-downstream-analysis Checklist-style reference for OmicVerse downstream tutorials covering AUCell scoring, metacell DEG, and related exports.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-pdb-structure-io Parse and write protein structure files using Biopython Bio.PDB. Use when reading PDB, mmCIF, and MMTF files, downloading structures from RCSB PDB, or writing structures to various formats.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-workflows-riboseq-pipeline
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
ctdna-dynamics-mrd-agent
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
tooluniverse-literature-deep-research Conduct comprehensive literature research with target disambiguation, evidence grading, and structured theme extraction. Creates a detailed report with mandatory completeness checklist, biological model synthesis, and testable hypotheses. For biological targets, resolves official IDs (Ensembl/UniProt), synonyms, naming collisions, and gathers expression/pathway context before literature search. Default deliverable is a report file; for single factoid questions, uses a fast verification mode and may include an inline answer. Use when users need thorough literature reviews, target profiles, or to verify specific claims from the literature.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
clinical-diagnostic-reasoning Identify and counteract cognitive biases in medical decision-making through systematic error analysis and contextual algorithm application. For diagnostic reasoning, treatment decisions, and clinical judgment improvement. NOT for basic medical knowledge, technical procedures, or non-clinical healthcare domains.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-read-sequences Read biological sequence files (FASTA, FASTQ, GenBank, EMBL, ABI, SFF) using Biopython Bio.SeqIO. Use when parsing sequence files, iterating multi-sequence files, random access to large files, or high-performance parsing.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
tooluniverse-immune-repertoire-analysis Comprehensive immune repertoire analysis for T-cell and B-cell receptor sequencing data. Analyze TCR/BCR repertoires to assess clonality, diversity, V(D)J gene usage, CDR3 characteristics, convergence, and predict epitope specificity. Integrate with single-cell data for clonotype-phenotype associations. Use for adaptive immune response profiling, cancer immunotherapy research, vaccine response assessment, autoimmune disease studies, or repertoire diversity analysis in immunology research.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-imaging-mass-cytometry-quality-metrics Quality metrics for IMC data including signal-to-noise, channel correlation, tissue integrity, and acquisition QC. Use when assessing data quality before analysis or troubleshooting problematic acquisitions.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
vaex Use this skill for processing and analyzing large tabular datasets (billions of rows) that exceed available RAM. Vaex excels at out-of-core DataFrame operations, lazy evaluation, fast aggregations, efficient visualization of big data, and machine learning on large datasets. Apply when users need to work with large CSV/HDF5/Arrow/Parquet files, perform fast statistics on massive datasets, create visualizations of big data, or build ML pipelines that do not fit in memory.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
depmap Query the Cancer Dependency Map (DepMap) for cancer cell line gene dependency scores (CRISPR Chronos), drug sensitivity data, and gene effect profiles. Use for identifying cancer-specific vulnerabilities, synthetic lethal interactions, and validating oncology drug targets.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-rna-quantification-alignment-free-quant
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
crispr-offtarget-predictor
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bioinformatics-singlecell
FreedomIntelligence/OpenClaw-Medical-Skills 2,009