data science & ml Claude 스킬을 발견하세요. 61개의 스킬을 탐색하고 AI 워크플로우에 완벽한 기능을 찾아보세요.
Facilitates observable data exploration and dbt project analysis through a structured SQL query and interpretation workflow.
Performs automated risk assessment on logistics data by identifying formatting errors, hazardous materials, and dimensional flags.
Performs constraint-based reconstruction and analysis (COBRA) of metabolic models for systems biology and metabolic engineering.
Builds high-performance machine learning systems and AI inference pipelines using Rust's memory-efficient ecosystem.
Automates the discovery, extraction, and visualization of open-access life science research from PubMed and Europe PMC.
Integrates Google Gemini's multimodal reasoning and automated CLI tools into Claude Code for advanced AI collaboration and research.
Provides specialized support for MATLAB and GNU Octave numerical computing, matrix operations, and scientific visualization.
Evaluates the rigor of scientific research by assessing methodology, statistical validity, and evidence quality using industry-standard frameworks.
Automates professional spreadsheet creation, financial modeling, and data analysis with rigorous formula verification and industry-standard formatting.
Provides comprehensive assistance for building, configuring, and optimizing automated crypto trading strategies using the Hummingbot framework.
Accesses and queries the Human Metabolome Database for detailed metabolite information, clinical biomarkers, and biochemical pathways.
Streams and normalizes real-time cryptocurrency market data from over 40 exchanges for algorithmic trading and analysis.
Implements advanced Gemini 3 Pro capabilities including function calling, structured JSON outputs, and cost-efficient context caching for production AI applications.
Processes and analyzes massive files through a recursive language model loop and persistent local Python environment.
Implement a multi-layered persistent memory architecture for AI agents to enable cross-session learning and long-term context retention.
Ensures deterministic results in Python research code by centralizing configurations, controlling randomness, and recording run metadata.
Integrates real-time financial market data including stock quotes, forex rates, crypto prices, and company fundamentals via the FinnHub API.
Automates electronic lab notebook workflows including data uploads, notebook backups, and programmatic entry management via the LabArchives REST API.
Aggregates and summarizes the latest artificial intelligence industry news and technological breakthroughs into concise, high-impact briefings.
Implement deep generative models for single-cell omics analysis, enabling batch correction, multimodal integration, and probabilistic differential expression.
Performs comprehensive single-cell RNA-seq analysis workflows including quality control, clustering, and visualization.
Evaluates scholarly research papers and academic work using the systematic ScholarEval framework to provide structured feedback and quality scores.
Generates real-world evidence from observational data using advanced R-based causal inference and target trial emulation techniques.
Simplifies gene data retrieval and annotation by querying the NCBI Gene database via E-utilities and Datasets APIs.
Accelerates reinforcement learning workflows with high-performance environment vectorization and optimized PPO training.
Integrates persistent episodic and short-term memory into Amazon Bedrock agents to maintain user context and learn from interactions across sessions.
Manages persistent cross-session memory for autonomous coding tasks using Graphiti integration.
Design, simulate, and analyze complex adaptive clinical trials using industry-standard R packages and Bayesian methods.
Accesses real-time prediction market data, betting odds, and trading analytics from the Kalshi platform.
Optimizes complex multi-objective and constrained problems using state-of-the-art evolutionary algorithms and decision-making tools.
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