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AI & LLM

LLM integrations, prompt engineering, and AI orchestration

7,200 技能

Comprehensive healthcare AI toolkit for developing, testing, and deploying machine learning models with clinical...

Vendor-agnostic lab automation framework. Use when controlling multiple equipment types (Hamilton, Tecan, Opentrons,...

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...

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...

IBM quantum computing framework. Use when targeting IBM Quantum hardware, working with Qiskit Runtime for production...

Quantum physics simulation library for open quantum systems. Use when studying master equations, Lindblad dynamics,...

Write competitive research proposals for NSF, NIH, DOE, DARPA, and Taiwan NSTC. Agency-specific formatting, review...

Look up current research information using Perplexity Sonar Pro Search or Sonar Reasoning Pro models through...

Cloud-based quantum chemistry platform with Python API. Preferred for computational chemistry workflows including...

Standard single-cell RNA-seq analysis pipeline. Use for QC, normalization, dimensionality reduction...

Systematically evaluate scholarly work using the ScholarEval framework, providing structured assessment across...

Create publication-quality scientific diagrams using Nano Banana Pro AI with smart iterative refinement. Uses Gemini...

Meta-skill for publication-ready figures. Use when creating journal submission figures requiring multi-panel...

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...

Deep generative models for single-cell omics. Use when you need probabilistic batch correction (scVI), transfer...

Statistical visualization with pandas integration. Use for quick exploration of distributions, relationships, and...

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

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