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。
Quantifies and extracts economic value from coordination inefficiencies and world transitions using Markov blanket arbitrage and Multiverse Finance.
Orchestrates complex 3×3×3 parallel TiDAR executions for balanced, reproducible triadic computation across temporal and polarity axes.
Implements Guerino Mazzola's categorical music theory framework for advanced mathematical analysis and transformation of musical structures.
Implements Geoffrey Hinton's Forward-Forward algorithm for memory-efficient neural network training without backpropagation.
Powers iterative hypothesis testing and exploratory abductive inference through an interactive REPL environment.
Validates triadic color systems using predictive loops and active inference to ensure compositional coherence.
Establishes a foundational 5-layer topological framework for agent-based systems using sheaf theory and GF(3) arithmetic.
Identifies and analyzes fixed points in dynamical systems where vector fields vanish to determine system stability.
Implements Generative Flow Networks to sample diverse candidates proportionally to their reward functions.
Prevents invalid data navigation and circular references by applying non-orientable topological constraints to complex path structures.
Analyzes and implements coupled oscillators with sinusoidal coupling to model synchronization in complex dynamical systems.
Analyzes points diverging from equilibrium to identify qualitative behaviors, bifurcations, and long-term dynamics in complex systems.
Analyzes and implements fixed phase relationships in oscillators and complex dynamical systems.
Enables semantic code navigation and intelligent completions for Clojure using vector space embeddings.
Performs high-performance geospatial analysis, H3 hexagonal indexing, and PostGIS-compatible spatial SQL queries using DuckDB.
Integrates category theory principles into AI development to enable formal compositionality, bidirectional optics, and advanced machine learning architectures.
Implements Cohesive Linear Homotopy Type Theory patterns to formalize interaction entropy and generate complex structural diagrams.
Provides comprehensive resources, mathematical models, and implementation patterns for simulating artificial life, evolutionary dynamics, and emergent systems.
Composes complex systems from individual components using category-theoretic colimits and bidirectional wiring diagram navigation.
Facilitates comprehensive PDF manipulation, including text and table extraction, merging, splitting, and document generation using Python and CLI tools.
Optimizes high-performance visualization for massive datasets exceeding 100 million points using Datashader and HoloViews.
Enables compositional game theory and economic modeling using category theory optics for complex systems.
Classifies the stability of dynamical systems by calculating and interpreting Jacobian eigenvalues for equilibrium analysis.
Analyzes and models closed trajectories in phase space to understand the qualitative behavior of dynamical systems.
Analyzes and models invariant manifolds tangent to center eigenspaces within complex dynamical systems.
Integrates polynomial functors and category-theoretic operads to model complex interaction patterns and dynamical systems within AI workflows.
Replaces temporal succession with deterministic seed-chaining for observer-independent state derivation.
Unifies diverse metric spaces and triangle inequality constraints into a coherent topological framework for consistent system navigation.
Integrates spatio-temporal Earth intelligence and geographic embeddings with crypto-economic data for planetary-scale spatial reasoning.
Measures structural conservation and naturality in musical and categorical transformations.
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