Discover Agent Skills for data science & ml. Browse 61 skills for Claude, ChatGPT & Codex.
Train, deploy, and manage distributed neural networks within E2B sandboxes using the Flow Nexus ecosystem.
Implements high-performance adaptive learning and memory distillation for AI agents using the ultra-fast AgentDB vector engine.
Orchestrates multi-agent AI systems for parallel task execution and intelligent workflow coordination using dynamic topologies.
Retrieves nucleotide sequences, raw sequencing reads, and metadata from the European Nucleotide Archive for genomics research.
Accesses AI-ready drug discovery datasets and benchmarks for therapeutic machine learning and pharmacological prediction.
Automates protein testing and validation through a cloud-based laboratory platform for accelerated biotechnological research and sequence optimization.
Automates the end-to-end scientific research pipeline from hypothesis generation and data analysis to publication-ready LaTeX manuscripts.
Implements high-performance, Rust-powered tokenization for training and deploying custom NLP models with speed and precision.
Provides programmatic access to global statistical data for demographic, economic, and environmental research.
Designs, simulates, and executes quantum circuits using Google's Cirq framework for NISQ-era hardware and noise-aware algorithms.
Streamlines the creation, fitting, and validation of Bayesian models using PyMC's modern probabilistic programming interface.
Provides expert guidance for building, configuring, and optimizing Retrieval-Augmented Generation (RAG) pipelines.
Queries the Federal Reserve Economic Data (FRED) API to retrieve over 800,000 economic time series for financial research and macroeconomic analysis.
Implements high-performance adaptive learning and memory distillation for self-improving AI agents using AgentDB.
Builds and optimizes Retrieval-Augmented Generation (RAG) systems using advanced vector search, semantic chunking, and retrieval patterns.
Generates optimized LlamaFarm configuration files from natural language descriptions for RAG and document processing workflows.
Creates, edits, and analyzes Excel spreadsheets with professional formatting, automated formula recalculation, and integrated data visualization.
Accelerates data manipulation and ETL pipelines with the high-performance Polars DataFrame library.
Generates vector embeddings for project-local skills and agents to enable intelligent semantic search and smart routing within Claude Code.
Explains machine learning model predictions and feature importance using SHAP values and comprehensive visualizations.
Trains and deploys complex neural network architectures within distributed E2B sandbox environments for scalable machine learning workflows.
Builds, evaluates, and deploys production-ready machine learning models using the industry-standard scikit-learn library.
Implements and trains advanced reinforcement learning algorithms to create autonomous agents that evolve through experience.
Develops and trains Graph Neural Networks (GNNs) for node classification, link prediction, and geometric deep learning tasks.
Enhances Claude Code with Gemini's multimodal analysis, million-token context, and real-time web search capabilities.
Automates the creation, editing, and analysis of professional Excel spreadsheets with advanced formula support and industry-standard financial modeling.
Generates interactive, publication-quality Python charts and dashboards for data exploration and presentation.
Performs automated exploratory data analysis and generates comprehensive reports for over 200 scientific file formats.
Implements standardized Agent-to-Agent (A2A) protocol executors with production-ready patterns for task management and agent coordination.
Analyzes CSV files automatically to generate comprehensive statistical summaries and context-aware visualizations using Python and pandas.
Scroll for more results...