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。
Configures optimal LLM parameters and reasoning strategies based on evidence-backed research for specialized technical tasks.
Persists knowledge and learned patterns across autonomous coding sessions using Graphiti-based memory management.
Performs high-performance, vectorized string manipulation and text cleaning using NumPy's specialized string modules.
Provides expert guidance and implementation patterns for training large-scale Mixture-of-Experts (MoE) models using enterprise-grade Reinforcement Learning.
Generates customized Jupyter notebook practice challenges for Python algorithms and pandas data manipulation.
Integrates Google’s Gemini AI capabilities into Claude Code for multimodal tasks, advanced code analysis, and automated tool execution.
Integrates Google Gemini's multimodal analysis, massive context processing, and image generation capabilities directly into Claude Code.
Automates the creation, editing, and analysis of professional Excel spreadsheets with advanced formula support and financial modeling standards.
Integrates Google Gemini's multimodal capabilities to process audio, video, images, and documents directly within the Claude Code environment.
Generates comprehensive loyalty program performance reports and data-driven growth projections via Metabase integration.
Manages, analyzes, and visualizes multi-modal spatial omics data using the SpatialData Python ecosystem and OME-NGFF standards.
Architects sophisticated LLM applications using LangChain patterns for agents, memory management, and complex tool integration.
Optimizes LLM context windows through compaction, masking, and caching strategies to maximize performance and minimize token costs.
Optimizes LLM context windows through strategic compaction, masking, and caching to improve model performance and reduce costs.
Facilitates the development and migration of Python-based AI agents using LangGraph v1 and LangChain v1 standards.
Enables high-quality text and image generation using a reverse-engineered Gemini Web API interface.
Designs and implements sophisticated LLM applications using the LangChain framework for agents, memory, and complex workflows.
Integrates Fal.ai platform APIs to manage generative AI models, track resource usage, and monitor real-time pricing.
Optimizes vector index performance to achieve the ideal balance between search latency, recall accuracy, and memory consumption.
Optimizes vector database performance by tuning HNSW parameters, quantization strategies, and memory usage for high-scale search.
Optimizes Large Language Model performance through advanced prompting techniques like few-shot learning and chain-of-thought reasoning.
Accesses the NIH Metabolomics Workbench REST API to retrieve comprehensive metabolomics study data, metabolite structures, and standardized RefMet nomenclature.
Automates the creation, editing, and analysis of professional Excel spreadsheets with dynamic formulas and industry-standard formatting.
Generates high-conviction trading signals and technical analysis reports using multi-indicator market scanning.
Provides comprehensive documentation and implementation patterns for building AI-powered applications using the Vercel AI SDK.
Architects and implements sophisticated LLM applications using LangChain for agents, memory management, and complex workflows.
Converts Excel (.xlsx) spreadsheets into clean Markdown tables for seamless data analysis and documentation.
Develops, optimizes, and executes quantum circuits on IBM Quantum hardware and simulators using the industry-standard Qiskit framework.
Integrates multiple academic databases including PubMed, Semantic Scholar, and OpenAlex for comprehensive literature reviews and full-text retrieval.
Builds advanced Retrieval-Augmented Generation (RAG) systems to ground LLM responses with external document knowledge and vector search.
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