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AI & LLM

LLM integrations, prompt engineering, and AI orchestration

7,400 スキル

This skill should be used when working with pre-trained transformer models for natural language processing, computer...

Graph-based drug discovery toolkit. Molecular property prediction (ADMET), protein modeling, knowledge graph...

Graph Neural Networks (PyG). Node/graph classification, link prediction, GCN, GAT, GraphSAGE, heterogeneous graphs,...

Use this skill when working with scientific research tools and workflows across bioinformatics, cheminformatics,...

Use this skill when working with symbolic mathematics in Python. This skill should be used for symbolic computation...

Statistical modeling toolkit. OLS, GLM, logistic, ARIMA, time series, hypothesis tests, diagnostics, AIC/BIC, for...

Use this skill for reinforcement learning tasks including training RL agents (PPO, SAC, DQN, TD3, DDPG, A2C, etc.),...

Process-based discrete-event simulation framework in Python. Use this skill when building simulations of systems...

Model interpretability and explainability using SHAP (SHapley Additive exPlanations). Use this skill when explaining...

Statistical visualization. Scatter, box, violin, heatmaps, pair plots, regression, correlation matrices, KDE,...

This skill should be used when working with single-cell omics data analysis using scvi-tools, including scRNA-seq,...

Comprehensive toolkit for survival analysis and time-to-event modeling in Python using scikit-survival. Use this...

Machine learning in Python with scikit-learn. Use when working with supervised learning (classification,...

Biological data toolkit. Sequence analysis, alignments, phylogenetic trees, diversity metrics (alpha/beta, UniFrac),...

Single-cell RNA-seq analysis. Load .h5ad/10X data, QC, normalization, PCA/UMAP/t-SNE, Leiden clustering, marker...

PDF generation toolkit. Create invoices, reports, certificates, forms, charts, tables, barcodes, QR codes,...

Cheminformatics toolkit for fine-grained molecular control. SMILES/SDF parsing, descriptors (MW, LogP, TPSA),...

Deep learning framework (PyTorch Lightning). Organize PyTorch code into LightningModules, configure Trainers for...

Therapeutics Data Commons. AI-ready drug discovery datasets (ADME, toxicity, DTI), benchmarks, scaffold splits,...

Genomic file toolkit. Read/write SAM/BAM/CRAM alignments, VCF/BCF variants, FASTA/FASTQ sequences, extract regions,...

Python interface to OpenMS for mass spectrometry data analysis. Use for LC-MS/MS proteomics and metabolomics...

Multi-objective optimization framework. NSGA-II, NSGA-III, MOEA/D, Pareto fronts, constraint handling, benchmarks...

Bayesian modeling with PyMC. Build hierarchical models, MCMC (NUTS), variational inference, LOO/WAIC comparison,...

Materials science toolkit. Crystal structures (CIF, POSCAR), phase diagrams, band structure, DOS, Materials Project...