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。
Models and verifies state-dependent Markov games using Attributed C-sets and GF(3) conservation laws.
Models and analyzes one-parameter groups of diffeomorphisms generated by vector fields within dynamical systems.
Analyzes the stability and qualitative behavior of dynamical systems using scalar function trajectories.
Manages the reparameterization of time in flows for complex dynamical systems and topological modeling.
Models and analyzes the categorical structure of dynamical systems to evaluate stability and qualitative behavior.
Facilitates real-time, multi-modal continuous coaching and guidance through LiveKit using dynamic modality selection and symbolic expression processing.
Implements bottom-up fixpoint iteration for recursive Datalog queries using saturation-based evaluation.
Transforms quantum qubit states into expressive musical textures through Bloch sphere sonification and MIDI control.
Implements bidirectional constraint propagation and fixpoint derivation for complex autonomous information networks.
Recovers local structural seeds from global color distributions using Möbius inversion and topological duality.
Analyzes time-series data using scaling theory to identify turbulence regimes, persistence, and long-range dependencies.
Routes complex tasks to specialized subagent triads using GF(3) triadic logic to ensure balanced execution and validation.
Transforms structured data and acsets using category-theoretic graph rewriting techniques like DPO, SPO, and SqPO.
Verifies that neural network training trajectories have reached theoretical Gibbs equilibrium using Fokker-Planck equations.
Analyzes symmetric bifurcations and symmetry-breaking patterns in complex dynamical systems and differential equations.
Analyzes invariant sets and long-term trajectory behaviors within dynamical systems to model stable states and system evolution.
Analyzes and identifies sets within dynamical systems that are preserved by the flow of differential equations and manifolds.
Implements and analyzes agreement protocols within multi-agent dynamical systems using algebraic dynamics and topological principles.
Automates the creation and management of robust data pipelines using Hamilton DAGs and the FlowerPower framework.
Bridges representation space and execution time to optimize AI model performance through mathematical spectral analysis.
Facilitates Galois adjunctions between local agent operations and global cognitive category theory using Mazzola’s mathematical music structures.
Detects and analyzes qualitative state transitions in dynamical systems using Hopf bifurcation detection and GF(3) phase portraits.
Implements point-free topology and triadic GF(3) logic to manage causal structures and deterministic parallel execution for MCP servers.
Facilitates structured generation and composition of complex multi-input operations using colored operads and category theory principles.
Analyzes and models the paths of solutions through phase space within dynamical systems.
Integrates deterministic color generation with bisimulation game semantics for verifiable GF(3) conservation logic.
Models and analyzes interacting dynamical systems using topological and algebraic frameworks for complex system simulation.
Analyzes and deconstructs linguistic puns into multiple semantic and phonetic parses using algebraic and topological structures.
Automates professional spreadsheet creation, data analysis, and financial modeling with a focus on formula-driven logic.
Implements high-performance adaptive learning and memory distillation for AI agents using the AgentDB vector engine.
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