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Topic: medical

897 skills in this topic.

bio-spatial-transcriptomics-spatial-multiomics Analyze high-resolution spatial platforms like Slide-seq, Stereo-seq, and Visium HD. Use when working with subcellular resolution or high-density spatial data.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
spatial-transcriptomics-tutorials-with-omicverse Guide users through omicverse's spatial transcriptomics tutorials covering preprocessing, deconvolution, and downstream modelling workflows across Visium, Visium HD, Stereo-seq, and Slide-seq datasets.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-small-rna-seq-target-prediction
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-imaging-mass-cytometry-data-preprocessing Load and preprocess imaging mass cytometry (IMC) and MIBI data. Covers MCD/TIFF handling, hot pixel removal, and image normalization. Use when starting IMC analysis from raw MCD files or preparing images for segmentation.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-small-rna-seq-differential-mirna
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
medical-imaging-review Write comprehensive literature reviews for medical imaging AI research. Use when writing survey papers, systematic reviews, or literature analyses on topics like segmentation, detection, classification in CT, MRI, X-ray, ultrasound, or pathology imaging. Triggers on requests for "review paper", "survey", "literature review", "综述", "systematic review", or mentions of writing academic reviews on deep learning for medical imaging.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
hmdb-database Access Human Metabolome Database (220K+ metabolites). Search by name/ID/structure, retrieve chemical properties, biomarker data, NMR/MS spectra, pathways, for metabolomics and identification.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-single-cell-metabolite-communication Analyze metabolite-mediated cell-cell communication using MeboCost for metabolic signaling inference between cell types. Predict metabolite secretion and sensing patterns from scRNA-seq data. Use when studying metabolic crosstalk between cell populations or metabolite-receptor interactions.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-local-blast
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
tooluniverse-pharmacovigilance Analyze drug safety signals from FDA adverse event reports, label warnings, and pharmacogenomic data. Calculates disproportionality measures (PRR, ROR), identifies serious adverse events, assesses pharmacogenomic risk variants. Use when asked about drug safety, adverse events, post-market surveillance, or risk-benefit assessment.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
protein-design-workflow End-to-end guidance for protein design pipelines. Use this skill when: (1) Starting a new protein design project, (2) Need step-by-step workflow guidance, (3) Understanding the full design pipeline, (4) Planning compute resources and timelines, (5) Integrating multiple design tools. For tool selection, use binder-design. For QC thresholds, use protein-qc.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-single-cell-clustering Dimensionality reduction and clustering for single-cell RNA-seq using Seurat (R) and Scanpy (Python). Use for running PCA, computing neighbors, clustering with Leiden/Louvain algorithms, generating UMAP/tSNE embeddings, and visualizing clusters. Use when performing dimensionality reduction and clustering on single-cell data.
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
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-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
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-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
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
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