发现data science & ml类别的 Claude 技能。浏览 61 个技能,找到适合您 AI 工作流程的完美功能。
Streamlines computational molecular biology tasks including sequence analysis, biological file parsing, and programmatic NCBI database access.
Deploys and runs Python applications on serverless cloud infrastructure with automatic scaling and GPU acceleration.
Queries and analyzes the ClinicalTrials.gov database to retrieve comprehensive trial data, patient matching information, and drug intervention research.
Automates the discovery, extraction, and visualization of open-access life science research from PubMed and Europe PMC.
Retrieves nucleotide sequences, raw sequencing reads, and metadata from the European Nucleotide Archive for genomics research.
Builds high-performance machine learning systems and AI inference pipelines using Rust's memory-efficient ecosystem.
Accelerates the development of financial models and UI components by building and running functional code immediately for instant visual feedback.
Powers high-accuracy OCR, named entity recognition, and search reranking for document processing and RAG optimization.
Extracts structured text from images and scanned documents using multiple high-performance OCR engines.
Classifies and categorizes text using zero-shot learning or custom-trained SetFit models for high-accuracy document labeling.
Automates the end-to-end process of deploying, containerizing, and serving machine learning models via production-ready APIs.
Facilitates observable data exploration and dbt project analysis through a structured SQL query and interpretation workflow.
Automates the end-to-end scientific research pipeline from hypothesis generation and data analysis to publication-ready LaTeX manuscripts.
Generates and modifies LlamaFarm RAG configurations using natural language descriptions to streamline document processing setups.
Manages high-performance data buffers for real-time feature engineering and time-series analysis using Polars.
Manages the graceful termination of LlamaFarm backend services and background RAG workers.
Identifies statistical outliers and patterns in batch or streaming datasets using specialized machine learning backends.
Detects anomalies in real-time data streams using automated model updates and configurable windowing strategies.
Master advanced prompt engineering techniques to maximize LLM performance, reliability, and controllability in production.
Implements production-ready machine learning pipelines for IoT monitoring, fraud detection, and document intelligence using LlamaFarm patterns.
Orchestrates the initialization and health monitoring of LlamaFarm backend services, RAG workers, and ML runtimes.
Scaffolds production-ready RAG and document processing projects from curated LlamaFarm templates.
Validates LlamaFarm YAML configurations against schemas and custom business rules to ensure project integrity.
Implements high-performance adaptive learning and memory distillation for self-improving AI agents using AgentDB.
Writes idiomatic Apple MLX code for high-performance machine learning optimized for Apple Silicon hardware.
Trains and deploys complex neural network architectures within distributed E2B sandbox environments for scalable machine learning workflows.
Implements and trains advanced reinforcement learning algorithms to create autonomous agents that evolve through experience.
Generates professional Excel pivot tables and visualizations from raw data using natural language commands.
Maps and transforms prediction market datasets into standardized Nixtla-compatible formats for automated time-series forecasting.
Automatically downloads, parses, and summarizes ArXiv research papers to provide actionable insights for your project.
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