Data Science & ML Agent Skills
Discover Agent Skills for data science & ml. Browse 61skills for Claude, ChatGPT & Codex.
Benchling Integration
Automates R&D data management by integrating Claude with the Benchling platform for biological entity tracking, inventory control, and lab notebook documentation.
PyTorch Lightning
Streamlines deep learning development by organizing PyTorch code into scalable, modular structures for automated training and multi-GPU orchestration.
Scientific Schematics & Diagrams
Generates publication-quality scientific diagrams and architectural schematics using AI-driven iterative refinement and quality auditing.
COSMIC Cancer Genomics
Accesses and queries the Catalogue of Somatic Mutations in Cancer (COSMIC) to retrieve high-quality genomic data for precision oncology and cancer research.
PyOpenMS Mass Spectrometry Analysis
Analyzes mass spectrometry data using Python bindings for OpenMS to process complex proteomics and metabolomics workflows.
Scanpy Single-Cell Analysis
Performs comprehensive single-cell RNA-seq analysis including quality control, clustering, and trajectory inference using the Scanpy framework.
ClinPGx Pharmacogenomics Database
Accesses comprehensive pharmacogenomics data including gene-drug interactions, CPIC guidelines, and allele functions for precision medicine.
BRENDA Enzyme Database
Accesses the comprehensive BRENDA enzyme database to retrieve kinetic parameters, biochemical reactions, and metabolic pathway data.
ChEMBL Database & Drug Discovery
Queries the ChEMBL database to retrieve bioactive molecule data, drug targets, and bioactivity measurements for medicinal chemistry.
Qiskit Quantum Computing
Develops, optimizes, and executes quantum circuits and algorithms across various hardware backends using the Qiskit framework.
DNAnexus Integration
Streamlines genomics pipeline development and data management on the DNAnexus cloud platform using the dxpy Python SDK.
Scientific Peer Review Toolkit
Conducts systematic, high-rigor peer reviews of scientific manuscripts and grant proposals across all major research disciplines.
PDB Structural Biology & Drug Discovery
Accesses and analyzes RCSB Protein Data Bank (PDB) structures, metadata, and 3D coordinates for structural biology and drug discovery research.
Matchms
Processes and analyzes mass spectrometry data using advanced spectral similarity metrics and automated metadata harmonization.
Gtars Genomic Toolkit
Performs high-performance genomic interval analysis and sequence tokenization using Rust-powered tools and Python bindings.
GeoPandas Geospatial Analysis
Extends pandas to enable powerful spatial operations and vector data analysis for complex geographic workflows.
Molfeat - Molecular Featurization Hub
Simplifies molecular featurization for machine learning by providing a unified interface for over 100 descriptors, fingerprints, and pretrained embeddings.
Bioinformatics & Genomic Data (gget)
Simplifies bioinformatics workflows by providing unified access to over 20 genomic and proteomic databases for sequence analysis and protein modeling.
DeepChem Molecular Machine Learning
Empowers molecular machine learning and drug discovery through advanced chemical featurization, property prediction, and Graph Neural Networks.
FlowIO FCS File Handler
Parses and manages Flow Cytometry Standard (FCS) files, enabling seamless conversion to NumPy arrays and metadata extraction for bioinformatics workflows.
Datamol Cheminformatics
Simplifies molecular cheminformatics and drug discovery workflows with a Pythonic abstraction layer for RDKit.
deepTools NGS Analysis
Facilitates comprehensive Next-Generation Sequencing (NGS) data processing, quality control, and publication-quality visualization.
Pymoo Multi-Objective Optimization
Solves complex multi-objective optimization problems using evolutionary algorithms to find Pareto-optimal solutions.
NetworkX Graph Analysis
Builds, analyzes, and visualizes complex network structures and graph algorithms using Python's NetworkX library.
Pymatgen Materials Science
Analyzes crystal structures, generates phase diagrams, and integrates with the Materials Project for advanced computational materials science.
DiffDock Molecular Docking
Predicts 3D protein-ligand binding poses and confidence scores using state-of-the-art diffusion models for structure-based drug design.
PyDESeq2 Gene Expression Analysis
Performs differential gene expression analysis on bulk RNA-seq data using Python's DESeq2 implementation.
Matplotlib Scientific Visualization
Generates publication-quality scientific plots and data visualizations using Python's foundational plotting library.
Dask Parallel Computing
Accelerates and scales Python data processing by providing parallel and distributed computing capabilities for NumPy, pandas, and custom workflows.
Plotly Scientific Visualization
Generates interactive, publication-quality scientific and statistical visualizations using the Plotly Python library.
Scroll for more results...