发现data science & ml类别的 Claude 技能。浏览 61 个技能,找到适合您 AI 工作流程的完美功能。
Systematically refines and validates research tools through multi-phase iterative testing and rigorous data-driven evaluation.
Analyzes the qualitative behavior and robustness of solutions near equilibria in complex dynamical systems.
Manages quantum-classical network transitions and state conservation using s-expressions across polyglot computing environments.
Generates visual bifurcation diagrams to track stability transitions and behavior changes in dynamical systems.
Enables high-performance data manipulation and analysis in Nushell using Polars DataFrames and LazyFrames.
Automates the end-to-end scientific research lifecycle from initial data analysis and hypothesis generation to the production of publication-ready LaTeX manuscripts.
Deploys and trains advanced reinforcement learning algorithms for autonomous agents to optimize behavior through experience.
Facilitates triadic agent orchestration on Rama-based distributed topologies using ASI patterns and GF(3) conservation logic.
Approximates nonlinear dynamical systems using local linear models to analyze stability and phase space behavior.
Performs specialized time series machine learning tasks including classification, forecasting, and anomaly detection using scikit-learn compatible algorithms.
Bridges Claude to external Personal Knowledge Graph systems like Mem0, Graphiti, and Solid PODs for persistent AI memory.
Synthesizes multiple advanced theoretical frameworks from world-class researchers to solve complex problems through high-level meta-reasoning.
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.
Analyzes and defines measures preserved by flows in dynamical systems to understand long-term qualitative behavior.
Extracts LaTeX and structural ACSet data from mathematical documents using Mathpix and balanced ternary checkpoints.
Optimizes and reasons about quantum circuits using graphical string diagrams and spider-based rewrite rules.
Analyzes and models dynamical systems where equilibria exchange stability through transcritical bifurcations.
Verifies thread ancestry and reconstructs balanced world states to facilitate epistemic arbitrage and skill orchestration.
Verifies GF(3) symmetry conservation and Markov blanket integrity across renormalization group flows for cybernetic system stability.
Analyzes and models complex dynamical systems using ergodicity principles where time averages equate to space averages.
Generates and analyzes Chemical Reaction Network (CRN) hypergraph structures to predict dynamical behaviors like stability and oscillations.
Coordinates multi-agent systems and state transitions using GF(3) Galois Field conservation principles.
Performs vector similarity search and hierarchical clustering for agent skills using P-adic ultrametrics and MLX-powered embeddings.
Implements play/coplay arena theory for autopoietic closure and learning through GF(3) conservation.
Models and analyzes dynamical systems on graph structures to understand complex flow behaviors and stability.
Performs advanced Möbius inversion on partially ordered sets and lattices to solve complex combinatorial, topological, and graph-theoretic problems.
Integrates advanced topological graph theory and bicomodule structures into Claude for complex scientific computing and algebraic modeling.
Provides high-performance LLVM-level automatic differentiation for Julia code on CPU and GPU architectures.
Constructs high-fidelity psychological models from interaction patterns to predict intellectual trajectories and maintain authentic voice consistency.
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