data science & ml Claude 스킬을 발견하세요. 61개의 스킬을 탐색하고 AI 워크플로우에 완벽한 기능을 찾아보세요.
Analyzes and traces the flow of ideas, topics, and behaviors across complex social and interperspectival networks.
Analyzes social network dynamics to trace idea adoption, influence flow, and interperspectival relationships.
Provides high-performance LLVM-level automatic differentiation for Julia code on CPU and GPU architectures.
Facilitates complex system modeling through a triadic balance of categorical structure, cybernetic agency, and phenomenological observation.
Implements a triadic framework balancing category theory, cybernetic agency, and phenomenological observation for complex system modeling.
Performs advanced geodesic calculations and Riemannian manifold operations for geospatial navigation and spherical geometry.
Performs high-performance geospatial analysis, H3 hexagonal indexing, and PostGIS-compatible spatial SQL queries using DuckDB.
Bridges Scholze-Clausen condensed mathematics and analytic stacks to sheaf neural networks via 6-functor formalisms.
Enforces GF(3) color conservation and deterministic traversal across complex data navigator compositions.
Builds and validates high-fidelity psychological models to predict behaviors and generate authentic cognitive responses matching a subject's unique patterns.
Extracts behavioral patterns and interaction sequences to train cognitive surrogate systems and predictive models.
Extracts behavioral patterns and trains cognitive learning agents from interaction sequences.
Performs advanced molecular analysis, descriptor calculation, and chemical informatics using the RDKit library.
Systematically refines and validates research tools through multi-phase iterative testing and rigorous data-driven evaluation.
Facilitates exploratory abductive reasoning and hypothesis testing through interactive REPL environments.
Identifies and calls chromatin loops from Hi-C data files in .mcool, .cool, or .hic formats for genomic visualization and analysis.
Powers iterative hypothesis testing and exploratory abductive inference through an interactive REPL environment.
Implements a compositional AI framework based on category theory and GF(3) triadic balance for deterministic, self-modifying agent architectures.
Deploys and trains advanced reinforcement learning algorithms for autonomous agents to optimize behavior through experience.
Performs specialized time series machine learning tasks including classification, forecasting, and anomaly detection using scikit-learn compatible algorithms.
Provides comprehensive tools for astronomical data analysis, including coordinate transformations, unit conversions, and FITS file manipulation.
Builds and trains machine learning models on genomic interval data to generate embeddings for regions, single cells, and metadata.
Automates the creation of robust data cleaning and preprocessing pipelines for Python-based data science workflows.
Standardizes variable summation and entity aggregation within the PolicyEngine microsimulation framework.
Automates video metadata extraction, thumbnail generation, web-optimized transcoding, and audio extraction with integrated DuckDB tracking.
Creates advanced, interactive, and declarative data visualizations using HoloViews and the HoloViz ecosystem for complex data exploration.
Generate professional, publication-quality Python visualizations ranging from basic line plots to complex 3D figures and multi-panel subplots.
Optimizes multi-turn AI conversations by reducing token usage through advanced summarization and context management techniques.
Builds sophisticated LLM applications using the LangChain framework with advanced agent, memory, and tool integration patterns.
Implements comprehensive evaluation frameworks for LLM applications using automated metrics, human feedback, and benchmarking strategies.
Scroll for more results...