Discover Agent Skills for data science & ml. Browse 61skills for Claude, ChatGPT & Codex.
Generates interactive, publication-quality scientific and statistical charts using the Plotly Python library.
Simplifies molecular biology tasks using the Biopython library for sequence analysis, structural bioinformatics, and database integration.
Simplifies the creation, manipulation, and analysis of complex network structures and graph algorithms in Python.
Simplifies mass spectrometry data analysis by providing Pythonic access to the OpenMS library for proteomics and metabolomics workflows.
Streamlines the implementation and management of Pinecone vector databases for production-grade AI and RAG applications.
Accesses and retrieves genomic data from the European Nucleotide Archive (ENA) via REST APIs and FTP for bioinformatics pipelines.
Performs advanced biological computation, sequence analysis, and programmatic access to NCBI databases using Python.
Manages local and self-hosted vector embeddings for RAG-based AI applications and semantic search.
Simulates complex fluid dynamics using high-performance Python pseudospectral methods for Navier-Stokes and geophysical flow equations.
Develops and deploys specialized machine learning models for healthcare using clinical datasets, medical coding systems, and deep learning architectures.
Provides unified access to 20+ genomic databases and analysis methods for rapid bioinformatics research and sequence analysis.
Simulates high-performance fluid dynamics using pseudospectral methods and Python-based HPC workflows.
Develops, simulates, and optimizes quantum circuits for execution on diverse quantum hardware and high-performance simulators.
Predicts high-accuracy 3D protein-ligand binding poses using diffusion-based deep learning for structure-based drug discovery.
Performs constraint-based metabolic modeling and simulation for systems biology and metabolic engineering applications.
Infers gene regulatory networks from transcriptomics data using scalable machine learning algorithms like GRNBoost2 and GENIE3.
Automates the generation, refinement, and testing of scientific hypotheses using data-driven insights and literature integration.
Designs, simulates, and executes quantum circuits on simulators and real quantum hardware using Google's Cirq framework.
Processes and analyzes complex physiological signals including ECG, EEG, and EDA using a comprehensive Python toolkit.
Generates interactive, publication-quality data visualizations and dashboards using the Plotly Python library.
Streamlines computational molecular biology tasks including sequence analysis, NCBI database integration, and structural protein modeling.
Predicts high-accuracy 3D binding poses of small molecule ligands to protein targets using state-of-the-art diffusion models.
Executes complex autonomous biomedical research tasks including genomics, drug discovery, and clinical data analysis.
Accesses and queries the NCBI Gene database to retrieve comprehensive genetic information, sequences, and functional annotations via E-utilities and Datasets APIs.
Automates complex biomedical research tasks including genomics, drug discovery, and clinical data analysis using an autonomous AI agent framework.
Processes and generates audio, video, images, and complex documents using Google Gemini's advanced multimodal API capabilities.
Accesses and analyzes gene expression and functional genomics data from the NCBI Gene Expression Omnibus repository.
Processes digital pathology whole slide images by automating tissue detection, tile extraction, and preprocessing for machine learning pipelines.
Accelerates genomic interval analysis and machine learning preprocessing using a high-performance Rust-based toolkit with Python bindings.
Queries and analyzes SEC filings and financial statements for deep financial research and company data extraction.
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