Discover Agent Skills for data science & ml. Browse 61 skills for Claude, ChatGPT & Codex.
Queries the openFDA API to retrieve comprehensive data on drugs, medical devices, food safety, and adverse events.
Streamlines cryptocurrency asset selection by bypassing irrelevant equity filters and handling data gaps in financial datasets.
Simplifies scientific research by providing standardized access to over 600 tools for bioinformatics, drug discovery, and computational biology.
Automates the generation, refinement, and testing of scientific hypotheses by integrating observational data with existing literature.
Accesses over 40 major bioinformatics web services and databases through a unified Python interface for seamless biological data retrieval and analysis.
Facilitates computational molecular biology tasks using the Biopython library for sequence analysis, structural bioinformatics, and NCBI database integration.
Analyzes complex mass spectrometry data for proteomics and metabolomics using Python bindings for the OpenMS library.
Facilitates mass spectrometry data analysis, proteomics, and metabolomics workflows using Python-based OpenMS bindings.
Provides a high-performance Rust toolkit for genomic interval analysis, coverage track generation, and machine learning tokenization.
Simplifies computational molecular biology tasks including sequence manipulation, NCBI database access, and structural analysis.
Performs high-performance genomic interval analysis and data preprocessing for machine learning using Rust-powered tools.
Performs advanced geospatial vector data analysis, coordinate transformations, and spatial mapping within Python environments.
Orchestrates complex multi-agent systems on AWS using the Bedrock AgentCore Agent-to-Agent (A2A) protocol.
Aggregates K18 quality control artifacts into comprehensive summary reports while maintaining project manifests.
Analyzes and compares US CPI and PCE inflation metrics to identify underlying price acceleration risks and weighting discrepancies.
Connects Claude to over 600 specialized scientific tools and databases for bioinformatics, drug discovery, and genomic analysis.
Evaluates scholarly work using the ScholarEval framework to provide structured assessments, quantitative scoring, and actionable feedback across research dimensions.
Analyzes mass spectrometry data for proteomics and metabolomics using the PyOpenMS library.
Queries and analyzes openFDA regulatory data for drugs, medical devices, food safety, and substance identification.
Implements high-performance adaptive learning and experience replay patterns for self-improving AI agents using a high-speed vector database backend.
Implements high-performance persistent memory and reasoning patterns for AI agents using vector storage and reinforcement learning.
Implements adaptive learning systems to enable AI agents to recognize patterns, optimize strategies, and continuously improve through experience.
Deploys and trains sophisticated neural networks across distributed sandbox environments using various architectures and federated learning techniques.
Implements adaptive learning systems to enable AI agents to recognize patterns, optimize strategies, and improve continuously through experience.
Trains and deploys reinforcement learning models for autonomous agents using nine specialized algorithms including Decision Transformers and Q-Learning.
Accelerates genomic interval analysis and machine learning preprocessing with high-performance Rust-powered algorithms and Python bindings.
Implements and trains reinforcement learning algorithms to create autonomous agents that improve through experience.
Implements high-performance adaptive learning patterns and trajectory tracking for self-learning agents using a 150x faster vector database.
Implements tidy modeling principles for reproducible and standardized indirect treatment comparison (ITC) analyses in R.
Implements adaptive learning and pattern recognition systems to enable AI agents to optimize strategies and improve through experience.
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