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Topic: medical

897 skills in this topic.

bio-pdb-structure-navigation Navigate protein structure hierarchy using Biopython Bio.PDB SMCRA model. Use when accessing models, chains, residues, and atoms, iterating over structure levels, or extracting sequences from PDB files.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-pdb-structure-modification Modify protein structures using Biopython Bio.PDB. Use when transforming coordinates, removing atoms or residues, adding new entities, modifying B-factors and occupancies, or building structures programmatically.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-proteomics-protein-inference Protein grouping and inference from peptide identifications. Use when resolving protein ambiguity from shared peptides. Handles protein groups and protein-level FDR control using parsimony and probabilistic approaches.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-pdb-geometric-analysis Perform geometric calculations on protein structures using Biopython Bio.PDB. Use when measuring distances, angles, and dihedrals, superimposing structures, calculating RMSD, or computing solvent accessible surface area (SASA).
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
kragen-knowledge-graph
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-pathway-reactome Reactome pathway enrichment using ReactomePA package. Use when analyzing gene lists against Reactome's curated peer-reviewed pathway database. Performs over-representation analysis and GSEA with visualization and pathway hierarchy exploration.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-proteomics-ptm-analysis Post-translational modification analysis including phosphorylation, acetylation, and ubiquitination. Covers site localization, motif analysis, and quantitative PTM analysis. Use when analyzing phosphoproteomic data or other modification-enriched samples.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-pathway-go-enrichment Gene Ontology over-representation analysis using clusterProfiler enrichGO. Use when identifying biological functions enriched in a gene list from differential expression or other analyses. Supports all three ontologies (BP, MF, CC), multiple ID types, and customizable statistical thresholds.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-reaction-enumeration Enumerates chemical libraries through reaction SMARTS transformations using RDKit. Generates virtual compound libraries from building blocks using defined chemical reactions with product validation. Use when creating combinatorial libraries or enumerating products from synthetic routes.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
prs-net-deep-learning-agent
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
kegg-database Direct REST API access to KEGG (academic use only). Pathway analysis, gene-pathway mapping, metabolic pathways, drug interactions, ID conversion. For Python workflows with multiple databases, prefer bioservices. Use this for direct HTTP/REST work or KEGG-specific control.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-read-qc-quality-filtering Filter reads by quality scores, length, and N content using Trimmomatic and fastp. Apply sliding window trimming, remove low-quality bases from read ends, and discard reads below thresholds. Use when reads have poor quality tails or require minimum quality for downstream analysis.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-multi-omics-data-harmonization Preprocessing and harmonization of multi-omics data before integration. Covers normalization, batch correction, feature alignment, and missing value handling across data types. Use when preparing multi-omics datasets for integration analysis.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
tooluniverse-chemical-compound-retrieval Retrieves chemical compound information from PubChem and ChEMBL with disambiguation, cross-referencing, and quality assessment. Creates comprehensive compound profiles with identifiers, properties, bioactivity, and drug information. Use when users need chemical data, drug information, or mention PubChem CID, ChEMBL ID, SMILES, InChI, or compound names.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-machine-learning-prediction-explanation
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-metabolomics-xcms-preprocessing XCMS3 workflow for LC-MS/MS metabolomics preprocessing. Covers peak detection, retention time alignment, correspondence (grouping), and gap filling. Use when processing raw LC-MS data into a feature table for untargeted metabolomics.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
pubmed-search Search PubMed for scientific literature. Use when the user asks to find papers, search literature, look up research, find publications, or asks about recent studies. Triggers on "pubmed", "papers", "literature", "publications", "research on", "studies about".
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-metabolomics-statistical-analysis Statistical analysis for metabolomics data. Covers univariate testing, multivariate methods (PCA, PLS-DA), and biomarker discovery. Use when identifying differentially abundant metabolites or building classification models.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-ribo-seq-ribosome-stalling Detect ribosome pausing and stalling sites from Ribo-seq data at codon resolution. Use when studying translational regulation, identifying pause sites, or analyzing codon-specific translation dynamics.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
tooluniverse-immunotherapy-response-prediction Predict patient response to immune checkpoint inhibitors (ICIs) using multi-biomarker integration. Given a cancer type, somatic mutations, and optional biomarkers (TMB, PD-L1, MSI status), performs systematic analysis across 11 phases covering TMB classification, neoantigen burden estimation, MSI/MMR assessment, PD-L1 evaluation, immune microenvironment profiling, mutation-based resistance/sensitivity prediction, clinical evidence retrieval, and multi-biomarker score integration. Generates a quantitative ICI Response Score (0-100), response likelihood tier, specific ICI drug recommendations with evidence, resistance risk factors, and a monitoring plan. Use when oncologists ask about immunotherapy eligibility, checkpoint inhibitor selection, or biomarker-guided ICI treatment decisions.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
infographics Create professional infographics using Nano Banana Pro AI with smart iterative refinement. Uses Gemini 3 Pro for quality review. Integrates research-lookup and web search for accurate data. Supports 10 infographic types, 8 industry styles, and colorblind-safe palettes.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
tcr-repertoire-analysis-agent
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
tcr-pmhc-prediction-agent
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-longread-structural-variants Detect structural variants from long-read alignments using Sniffles, cuteSV, and SVIM. Use when detecting deletions, insertions, inversions, translocations, or complex rearrangements from ONT or PacBio data, especially those missed by short-read methods.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009