data science & ml Claude 스킬을 발견하세요. 61개의 스킬을 탐색하고 AI 워크플로우에 완벽한 기능을 찾아보세요.
Indexes and manages local documents like PDFs and Word files to enhance Claude's knowledge through Retrieval-Augmented Generation (RAG).
Automates PDF manipulation, data extraction, and document generation for scientific and programmatic workflows.
Automates protein testing and validation by connecting Claude to cloud-based wet-lab services and computational sequence optimization tools.
Builds and validates advanced Bayesian statistical models using PyMC and modern probabilistic programming techniques.
Generates complex, divergent artifacts and viral patterns designed to trigger irreversible shifts in perception and awareness.
Facilitates comprehensive computational molecular biology tasks including sequence manipulation, phylogenetic analysis, and programmatic database access.
Provides AI-ready datasets and benchmarks for therapeutic machine learning and drug discovery tasks.
Automates secure, structured Git commits by enforcing guardrails against staging sensitive data, large datasets, and machine learning artifacts.
Bridges the gap between Python and Julia ecosystems by providing precise mappings for 137 scientific, bioinformatics, and machine learning libraries.
Converts Machine Learning Product Requirements Documents into structured JSON backlogs for iterative development and experimentation.
Quantifies Shanghai silver inventory depletion using 3D metrics to identify supply tightening signals for macro analysis.
Analyzes asset price deviations from long-term exponential trends to identify historical extremes and macro market regimes.
Analyzes Japanese Government Bond (JGB) transaction data to identify record-breaking selling flows from insurance companies.
Analyzes the relative valuation of silver mining stocks against spot silver prices using historical quantiles and scenario modeling.
Analyzes bond market volatility as a leading indicator for equity fear and credit spreads using cross-correlation and shock-event testing.
Integrates comprehensive financial data for stock analysis, fundamental research, and institutional tracking.
Integrates comprehensive financial data for stock quotes, fundamental analysis, SEC filings, and institutional tracking.
Analyzes the lithium supply chain and price regimes to provide data-driven insights for commodity investments and ETF exposure.
Extracts and normalizes multi-exchange market data, technical indicators, and social sentiment for comprehensive crypto analysis.
Manages Google Gemini File Search stores and implements production-ready RAG systems for documents and codebases.
Ensures the integrity of FTD analysis output by validating JSONL structures, TALD scale requirements, and clinical domain completeness.
Provides robust statistical analysis strategies and data exploration techniques for rigorous scientific research and discovery.
Performs comprehensive survival analysis and time-to-event modeling using modern R frameworks and tidy principles.
Implements robust data splitting and resampling methods for machine learning validation using the R rsample package.
Streamlines feature engineering in R using standardized preprocessing patterns for the recipes package.
Streamlines the integration of new AI models into the PixelPerfect image upscaler platform through a standardized multi-file configuration workflow.
Automates the creation, modification, and analysis of professional spreadsheets with a focus on dynamic formulas and industry-standard financial modeling.
Identifies and removes duplicate or visually similar images in FiftyOne datasets using deep learning embeddings.
Monitors and summarizes the Nixtla forecasting ecosystem to provide actionable updates on TimeGPT, StatsForecast, and MLForecast.
Evaluates machine learning models by generating comprehensive performance metrics including accuracy, precision, and F1-score to guide model optimization.
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