data science & ml Claude 스킬을 발견하세요. 61개의 스킬을 탐색하고 AI 워크플로우에 완벽한 기능을 찾아보세요.
Engineers and optimizes high-quality LLM prompts across multiple models using established best practices and systematic refinement techniques.
Optimizes LLM prompts to minimize token usage, reduce operational costs, and enhance model response quality through automated refinement.
Creates, modifies, and analyzes Excel spreadsheets with production-grade formulas, professional formatting, and financial modeling standards.
Refines and compresses LLM prompts to minimize token usage, lower operational costs, and maximize response quality.
Performs automated exploratory data analysis and generates comprehensive markdown reports for over 200 scientific file formats.
Performs hydrological modeling and streamflow forecasting using Julia-based classical and machine learning models.
Guides users through a scientifically rigorous five-phase hypothesis testing process to eliminate bias and p-hacking in data analysis.
Optimizes AI agent performance through Anthropic-based context engineering and prompt structure standards.
Validates the ethical implications and fairness of AI/ML models and datasets to ensure responsible development and bias mitigation.
Provides specialized functions for hydrological modeling and climate data processing within the Julia environment.
Accesses, downloads, and analyzes French public open data from data.gouv.fr using a specialized Python library and integrated documentation.
Equips Claude with specialized knowledge for statistical analysis, regression modeling, and reproducible data science script organization.
Generates rigorous experimental frameworks to validate research hypotheses with statistical significance and comprehensive baseline comparisons.
Automates the creation, configuration, and deployment of machine learning demos on Hugging Face Spaces using Gradio, Streamlit, and ZeroGPU.
Provides programmatic access and analysis of comprehensive pharmaceutical data from the DrugBank database for drug discovery and pharmacology research.
Applies rigorous statistical methods and hypothesis testing to derive data-driven insights and validate experimental results.
Performs complex data extraction and sophisticated business analysis using advanced SQL techniques and performance-optimized queries.
Automates professional-grade spreadsheet creation, editing, and analysis with a focus on formula integrity and financial modeling standards.
Queries and analyzes millions of standardized single-cell genomics data points from the CZ CELLxGENE Census for population-scale biological research.
Optimizes LLM performance through advanced prompt engineering patterns, RAG system design, and agentic architecture implementation.
Simplifies complex data analysis in Excel using advanced formulas, Pivot Tables, and Power Query automation.
Applies idiomatic JAX patterns and best practices to optimize scientific computing and machine learning workflows in Python.
Generates publication-quality scientific visualizations using TMLR styling and LaTeX rendering for research and academic reports.
Scans data science and tech news sources to discover trending topics and generate actionable content pitches.
Optimizes LLM performance and reliability through advanced prompt engineering techniques and structured reasoning patterns.
Solves complex combinatorial optimization problems including vehicle routing, scheduling, and resource allocation using Google's open-source suite.
Creates and manages professional spreadsheets with dynamic formulas, financial formatting standards, and advanced data analysis capabilities.
Streams and normalizes real-time cryptocurrency market data from over 40 exchanges for algorithmic trading and analysis.
Optimizes CUDA kernels and GPU code to maximize hardware utilization and execution speed.
Implements advanced Tidyverse programming patterns to handle data masking and column references in R functions.
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