Comprehensive toolkit for creating, analyzing, and visualizing complex networks and graphs in Python. Use when...
AI & LLM
LLM integrations, prompt engineering, and AI orchestration
7,400 skills
Comprehensive biosignal processing toolkit for analyzing physiological data including ECG, EEG, EDA, RSP, PPG, EMG,...
This skill should be used when converting academic papers into promotional and presentation formats including...
Computational pathology toolkit for analyzing whole-slide images (WSI) and multiparametric imaging data. Use this...
Fast DataFrame library (Apache Arrow). Select, filter, group_by, joins, lazy evaluation, CSV/Parquet I/O, expression...
This skill should be used when working with reinforcement learning tasks including high-performance RL training,...
Comprehensive healthcare AI toolkit for developing, testing, and deploying machine learning models with clinical...
Laboratory automation toolkit for controlling liquid handlers, plate readers, pumps, heater shakers, incubators,...
Materials science toolkit. Crystal structures (CIF, POSCAR), phase diagrams, band structure, DOS, Materials Project...
Bayesian modeling with PyMC. Build hierarchical models, MCMC (NUTS), variational inference, LOO/WAIC comparison,...
Multi-objective optimization framework. NSGA-II, NSGA-III, MOEA/D, Pareto fronts, constraint handling, benchmarks...
Python interface to OpenMS for mass spectrometry data analysis. Use for LC-MS/MS proteomics and metabolomics...
Genomic file toolkit. Read/write SAM/BAM/CRAM alignments, VCF/BCF variants, FASTA/FASTQ sequences, extract regions,...
Therapeutics Data Commons. AI-ready drug discovery datasets (ADME, toxicity, DTI), benchmarks, scaffold splits,...
Deep learning framework (PyTorch Lightning). Organize PyTorch code into LightningModules, configure Trainers for...
Cheminformatics toolkit for fine-grained molecular control. SMILES/SDF parsing, descriptors (MW, LogP, TPSA),...
PDF generation toolkit. Create invoices, reports, certificates, forms, charts, tables, barcodes, QR codes,...
Single-cell RNA-seq analysis. Load .h5ad/10X data, QC, normalization, PCA/UMAP/t-SNE, Leiden clustering, marker...
Biological data toolkit. Sequence analysis, alignments, phylogenetic trees, diversity metrics (alpha/beta, UniFrac),...
Machine learning in Python with scikit-learn. Use when working with supervised learning (classification,...
Comprehensive toolkit for survival analysis and time-to-event modeling in Python using scikit-survival. Use this...
This skill should be used when working with single-cell omics data analysis using scvi-tools, including scRNA-seq,...
Statistical visualization. Scatter, box, violin, heatmaps, pair plots, regression, correlation matrices, KDE,...
Model interpretability and explainability using SHAP (SHapley Additive exPlanations). Use this skill when explaining...