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Topic: nanoclaw

968 skills in this topic.

medical-research-toolkit Query 14+ biomedical databases for drug repurposing, target discovery, clinical trials, and literature research. Access ChEMBL, PubMed, ClinicalTrials.gov, OpenTargets, OpenFDA, OMIM, Reactome, KEGG, UniProt, and more through a unified MCP endpoint. Use when researching disease targets, finding approved/investigational drugs, searching clinical evidence, discovering genetic associations, or analyzing compound bioactivity data.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
metabolomics-workbench-database Access NIH Metabolomics Workbench via REST API (4,200+ studies). Query metabolites, RefMet nomenclature, MS/NMR data, m/z searches, study metadata, for metabolomics and biomarker discovery.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
mpn-research-assistant
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
multi-ancestry-prs-agent
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
networkx Comprehensive toolkit for creating, analyzing, and visualizing complex networks and graphs in Python. Use when working with network/graph data structures, analyzing relationships between entities, computing graph algorithms (shortest paths, centrality, clustering), detecting communities, generating synthetic networks, or visualizing network topologies. Applicable to social networks, biological networks, transportation systems, citation networks, and any domain involving pairwise relationships.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
ngs-analysis
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
nonlinear-solvers Select and configure nonlinear solvers for f(x)=0 or min F(x). Use for Newton methods, quasi-Newton (BFGS, L-BFGS), Broyden, Anderson acceleration, diagnosing convergence issues, choosing line search vs trust region, and analyzing Jacobian quality.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
occupational-health-analyzer 分析职业健康数据、识别工作相关健康风险、评估职业健康状况、提供个性化职业健康建议。支持与睡眠、运动、心理健康等其他健康数据的关联分析。
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
organoid-drug-response-agent
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
pharmgx-reporter Pharmacogenomic report from DTC genetic data (23andMe/AncestryDNA) — 12 genes, 31 SNPs, 51 drugs
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
post-processing Extract, analyze, and visualize simulation output data. Use for field extraction, time series analysis, line profiles, statistical summaries, derived quantity computation, result comparison to references, and automated report generation from simulation results.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
proteinmpnn Design protein sequences using ProteinMPNN inverse folding. Use this skill when: (1) Designing sequences for RFdiffusion backbones, (2) Redesigning existing protein sequences, (3) Fixing specific residues while designing others, (4) Optimizing sequences for expression or stability, (5) Multi-state or negative design. For backbone generation, use rfdiffusion or bindcraft. For ligand-aware design, use ligandmpnn. For solubility optimization, use solublempnn.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
pubmed-database Direct REST API access to PubMed. Advanced Boolean/MeSH queries, E-utilities API, batch processing, citation management. For Python workflows, prefer biopython (Bio.Entrez). Use this for direct HTTP/REST work or custom API implementations.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
pyhealth Comprehensive healthcare AI toolkit for developing, testing, and deploying machine learning models with clinical data. This skill should be used when working with electronic health records (EHR), clinical prediction tasks (mortality, readmission, drug recommendation), medical coding systems (ICD, NDC, ATC), physiological signals (EEG, ECG), healthcare datasets (MIMIC-III/IV, eICU, OMOP), or implementing deep learning models for healthcare applications (RETAIN, SafeDrug, Transformer, GNN).
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
pyzotero Interact with Zotero reference management libraries using the pyzotero Python client. Retrieve, create, update, and delete items, collections, tags, and attachments via the Zotero Web API v3. Use this skill when working with Zotero libraries programmatically, managing bibliographic references, exporting citations, searching library contents, uploading PDF attachments, or building research automation workflows that integrate with Zotero.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
research-literature
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
research-lookup Look up current research information using Perplexity's Sonar Pro Search or Sonar Reasoning Pro models through OpenRouter. Automatically selects the best model based on query complexity. Search academic papers, recent studies, technical documentation, and general research information with citations.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
scientific-schematics Create publication-quality scientific diagrams using Nano Banana 2 AI with smart iterative refinement. Uses Gemini 3.1 Pro Preview for quality review. Only regenerates if quality is below threshold for your document type. Specialized in neural network architectures, system diagrams, flowcharts, biological pathways, and complex scientific visualizations.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
scientific-visualization Create publication figures with matplotlib/seaborn/plotly. Multi-panel layouts, error bars, significance markers, colorblind-safe, export PDF/EPS/TIFF, for journal-ready scientific plots.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
seaborn Statistical visualization with pandas integration. Use for quick exploration of distributions, relationships, and categorical comparisons with attractive defaults. Best for box plots, violin plots, pair plots, heatmaps. Built on matplotlib. For interactive plots use plotly; for publication styling use scientific-visualization.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
single-cell-rna-qc Performs quality control on single-cell RNA-seq data (.h5ad or .h5 files) using scverse best practices with MAD-based filtering and comprehensive visualizations. Use when users request QC analysis, filtering low-quality cells, assessing data quality, or following scverse/scanpy best practices for single-cell analysis.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
single-cell-multi-omics-integration Quick-reference sheet for OmicVerse tutorials spanning MOFA, GLUE pairing, SIMBA integration, TOSICA transfer, and StaVIA cartography.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
sleep-analyzer 分析睡眠数据、识别睡眠模式、评估睡眠质量，并提供个性化睡眠改善建议。支持与其他健康数据的关联分析。
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
spatial-epigenomics-agent
FreedomIntelligence/OpenClaw-Medical-Skills 2,009