data science & ml向けのClaudeスキルを発見してください。61個のスキルを閲覧し、AIワークフローに最適な機能を見つけましょう。
Navigates and explores the Denmark Statistics (DST) subject hierarchy to discover specific fact tables and data categories.
Generates dynamic knowledge graphs, system architecture diagrams, and memory timelines to visualize complex AI states.
Provides architectural patterns and implementation guides for building reliable autonomous AI agent systems.
Implements a systematic methodology for diagnosing, refining, and validating trading strategies to improve win rates and returns.
Provides structured methodologies and frameworks for market research, competitor analysis, and professional data synthesis.
Architects and implements sophisticated, stateful multi-agent LLM applications using LangGraph and Python.
Optimizes LLM performance and context efficiency using Anthropic-inspired prompt engineering and signal-to-noise optimization principles.
Builds, evaluates, and deploys sophisticated AI agents and multi-agent workflows using Google’s open-source Agent Development Kit.
Automates complex biomedical research tasks including genomics analysis, drug discovery, and clinical data interpretation through autonomous AI agents.
Builds, tunes, and evaluates production-ready classification and regression models using industry-standard machine learning algorithms.
Optimizes token usage and reduces operational costs when delegating tasks to the Gemini CLI.
Predicts high-accuracy 3D protein-ligand binding poses using diffusion-based deep learning for structure-based drug design.
Processes, analyzes, and generates audio, video, image, and document content using Google Gemini's powerful multimodal API.
Accesses and retrieves nucleotide sequences, raw reads, and genome assemblies from the European Nucleotide Archive (ENA) via REST APIs and FTP.
Fetches, searches, and manages academic papers from arXiv through a local CLI-based database.
Streamlines machine learning workflows for genomic interval data using region embeddings, single-cell analysis, and consensus peak building.
Implements a decentralized context-sharing protocol for multi-agent systems using cryptographic sharding and Byzantine fault tolerance.
Analyzes CSV datasets using Python pandas to extract statistical insights, detect patterns, and identify data quality issues.
Master core machine learning pillars including data preprocessing, feature engineering, and robust model evaluation pipelines.
Builds, trains, and optimizes neural networks using PyTorch with production-grade patterns and best practices.
Analyzes textual data to extract sentiments, keywords, and core topics using advanced natural language processing techniques.
Automates complex spreadsheet creation, data analysis, and financial modeling with professional-grade formatting and formula integrity.
Manages annotated data matrices and metadata for single-cell genomics and large-scale biological datasets in Python.
Generates and transforms high-quality images using Google's Gemini models through customizable Python scripts.
Guides the selection of the optimal Claude model for custom agent tasks based on cost, speed, and reasoning requirements.
Evaluates AI alignment and protocol adherence through the Joseph Cognitive Baseline v2.1 test suite.
Integrates Google's Gemini models into the Claude Code workflow to handle massive context windows and multimodal file processing.
Leverages Google Gemini API to process and analyze audio, video, images, and documents directly within Claude.
Integrates Google Gemini's multimodal capabilities to process audio, video, images, and documents directly within your development workflow.
Conducts advanced machine learning research for Radio Access Networks using reinforcement learning, causal inference, and cognitive frameworks.
Scroll for more results...