
Claude Skills by paperclipai
github.com/paperclipaiDICOM medical image file reading, processing, and analysis
Healthcare data analytics and clinical prediction modeling
Laboratory robotics automation and liquid handling control
Materials science analysis, crystal structure manipulation, and phase diagrams
Bayesian statistical modeling and probabilistic programming
Multi-objective optimization algorithms and evolutionary computation
Mass spectrometry data processing and proteomics analysis
SAM/BAM/CRAM genomic alignment file processing and analysis
Therapeutics Data Commons access for drug discovery benchmarks
Deep learning model training and experiment management
Zotero reference manager integration for bibliography management
Quantum computing circuit design and execution using IBM Qiskit
Quantum system dynamics simulation with QuTiP
Cheminformatics molecular operations, fingerprints, and property calculations
Query Reactome biological pathway and reaction database
Research grant writing assistance and funding opportunity analysis
Targeted research lookup across multiple academic databases
Molecular simulation and computational chemistry workflows
Single-cell RNA-seq analysis pipeline with clustering and visualization
Evaluate research quality, impact, and scholarly contributions
Structured scientific brainstorming and ideation framework
Critical analysis of scientific claims, methods, and evidence
Generate scientific diagrams, schematics, and technical illustrations
Generate scientific presentation slides with proper formatting
Advanced scientific data visualization and figure composition
Scientific manuscript drafting, editing, and style optimization
Biological data analysis including diversity metrics and alignments
Machine learning model training, evaluation, and feature engineering
Survival analysis and time-to-event modeling
RNA velocity analysis for single-cell transcriptomics dynamics
Probabilistic models for single-cell omics data analysis
Statistical data visualization with publication-ready aesthetics
Model interpretability using SHAP values and feature importance analysis
Discrete-event simulation for process modeling and optimization
Reinforcement learning algorithm implementations and training
Comprehensive statistical testing, regression, and inference
Statistical models, hypothesis tests, and econometric analysis
Query STRING protein-protein interaction network database
Symbolic mathematics, equation solving, and algebraic computation
Efficient VCF genomic variant data storage and querying with TileDB
Time series forecasting using Google TimesFM foundation model
Graph neural networks for molecular and scientific graph data
Drug discovery deep learning with molecular representation learning
Transformer model inference for scientific NLP and sequence tasks
Evidence-based treatment plan generation and clinical protocol design
Dimensionality reduction and data visualization using UMAP
Query UniProt protein sequence and functional annotation database
U.S. fiscal data retrieval and government financial analysis
Query USPTO patent database for intellectual property research
Out-of-core DataFrame processing for billion-row scientific datasets