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。
Builds and optimizes quantum circuits using automatic differentiation and seamless integration with PyTorch, JAX, and TensorFlow.
Performs rigorous statistical modeling, econometric analysis, and hypothesis testing using Python's statsmodels library.
Automates complex biomedical research tasks including genomics, drug discovery, and clinical analysis using autonomous AI reasoning and code execution.
Integrates Azure AI Search, Speech, Foundry, and OpenAI capabilities directly into Claude's development workflow.
Simplifies computational molecular biology tasks including sequence analysis, structural bioinformatics, and programmatic NCBI database access.
Automates life sciences research workflows by integrating with the Benchling R&D platform for sample tracking, sequence management, and electronic lab notebooks.
Accelerates the development of Gemini-powered applications by providing idiomatic Python code patterns for the official Google GenAI SDK.
Solves complex single and multi-objective optimization problems using evolutionary algorithms and Pareto-optimal analysis.
Executes complex autonomous biomedical research tasks across genomics, drug discovery, and clinical analysis using LLM-driven code execution and integrated biological databases.
Automates end-to-end scientific research workflows from data hypothesis generation to publication-ready LaTeX papers.
Performs autonomous, multi-step research tasks using the Gemini Deep Research Agent to synthesize information from the web and local documents.
Accesses and processes the COSMIC database for somatic mutations, Cancer Gene Census, and precision oncology research.
Automates the end-to-end scientific research lifecycle from data analysis and hypothesis generation to publishing LaTeX-formatted papers.
Executes complex autonomous research tasks across genomics, drug discovery, and clinical analysis using integrated biomedical databases.
Streamlines the design and construction of autonomous AI agents using a capability-driven framework and iterative architectural patterns.
Generates and edits high-quality images using Google's Gemini-3-pro-image-preview model via the google-genai Python library.
Builds robust AI-powered applications through advanced prompt engineering, RAG implementation, and resilient API integration patterns.
Builds robust AI-powered features using standardized patterns for prompt engineering, RAG workflows, and multi-provider LLM integrations.
Deploys and optimizes TensorFlow models for production, mobile, and edge environments using SavedModel and TFLite formats.
Streamlines the initialization and configuration of autonomous AI agents using the Claude Agent SDK.
Builds, trains, and optimizes sophisticated deep learning models using TensorFlow and the Keras API.
Architect high-performance data input pipelines using the TensorFlow tf.data API to maximize GPU and TPU training efficiency.
Audits research outlines by analyzing evidence coverage and mapping redundancy to ensure a structured, verifiable foundation.
Streamlines research paper collections by deduplicating entries and ranking them to create high-quality core datasets for academic analysis.
Architect and implement production-grade Retrieval-Augmented Generation systems using LangChain and Qdrant vector stores.
Implements high-performance, accessible, and perceptually accurate data visualizations using industry-standard libraries and algorithms.
Calculates and specifies optimal hardware requirements for local Large Language Model (LLM) deployments and AI workloads.
Orchestrates complex knowledge graph memory with entity extraction, deduplication, and intelligent cross-referencing for Claude Code.
Implements advanced AI backend logic using Vercel AI SDK versions 5 and 6, facilitating model orchestration, agentic workflows, and seamless version migrations.
Integrates Google Gemini's managed RAG system to build searchable document knowledge bases with automatic chunking, embeddings, and citations.
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