Discover Agent Skills for data science & ml. Browse 61 skills for Claude, ChatGPT & Codex.
Processes and analyzes massive files through a recursive language model loop and persistent local Python environment.
Streams and normalizes real-time cryptocurrency market data from over 40 exchanges for algorithmic trading and analysis.
Provides comprehensive assistance for building, configuring, and optimizing automated crypto trading strategies using the Hummingbot framework.
Automates professional spreadsheet creation, financial modeling, and data analysis with rigorous formula verification and industry-standard formatting.
Automates the discovery, extraction, and visualization of open-access life science research from PubMed and Europe PMC.
Builds high-performance machine learning systems and AI inference pipelines using Rust's memory-efficient ecosystem.
Facilitates observable data exploration and dbt project analysis through a structured SQL query and interpretation workflow.
Writes idiomatic Apple MLX code for high-performance machine learning optimized for Apple Silicon hardware.
Integrates Google Gemini models into Claude Code for advanced reasoning, multimodal analysis, and high-speed text generation using the google-genai SDK.
Automatically downloads, parses, and summarizes ArXiv research papers to provide actionable insights for your project.
Builds advanced Retrieval-Augmented Generation (RAG) systems using vector databases, semantic search, and sophisticated retrieval patterns for grounded AI applications.
Validates and reasons through 2-D injection-production doublet models using advanced streamline methods and transport physics.
Drafts publication-ready ML and AI research papers for top-tier conferences using repository data and verified citations.
Audits mathematical modeling results for MCM/ICM Problem C to ensure logical consistency and model stability.
Architects advanced LLM prompts, RAG systems, and fine-tuning workflows to build production-grade AI applications.
Evaluates machine learning models in R using yardstick and tidymodels patterns for classification and regression tasks.
Automates the generation of analytical features from horse racing data stored in PostgreSQL databases.
Builds sophisticated conversational interfaces and LLM-powered applications with advanced natural language understanding and context management.
Extracts and converts PDF documents into LLM-friendly formats like Markdown to support RAG pipelines and document analysis.
Implements high-performance adaptive learning and memory distillation for autonomous agents using the AgentDB vector engine.
Converts research paper PDFs into structured, reproducible Markdown summaries for technical analysis and knowledge management.
Implements comprehensive evaluation strategies for Large Language Model applications using automated metrics, human feedback, and rigorous benchmarking.
Streamlines the end-to-end machine learning competition lifecycle including data handling, model training, and submissions.
Builds production-grade AI systems using modern patterns like RAG, programmatic prompting, and Model Context Protocol (MCP).
Automates professional spreadsheet creation, data analysis, and financial modeling with industry-standard formatting and formula verification.
Evaluates scientific manuscripts and grant proposals for methodological rigor, statistical accuracy, and reporting standards.
Preprocesses and normalizes audio files using FFmpeg to optimize them for high-accuracy speech-to-text transcription.
Extracts tables, identifies sections, and summarizes content from complex PDF documents and technical reports.
Optimizes Claude's ability to process massive files and complex codebases using a recursive Probe-Extract-Confirm reasoning pattern.
Exports analysis results and query data into professional formats including CSV, JSON, Excel, and Markdown tables.
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