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。
Unifies mathematical topos-theoretic resources, category theory tools, and cognitive modeling frameworks across the filesystem.
Analyzes and models the paths of solutions through phase space within dynamical systems.
Facilitates structured generation and composition of complex multi-input operations using colored operads and category theory principles.
Transfers and synthesizes knowledge across domains using propagator-based networks to exploit structural isomorphisms.
Implements point-free topology and triadic GF(3) logic to manage causal structures and deterministic parallel execution for MCP servers.
Detects and analyzes qualitative state transitions in dynamical systems using Hopf bifurcation detection and GF(3) phase portraits.
Facilitates Galois adjunctions between local agent operations and global cognitive category theory using Mazzola’s mathematical music structures.
Bridges representation space and execution time to optimize AI model performance through mathematical spectral analysis.
Manages quantum-classical network transitions and state conservation using s-expressions across polyglot computing environments.
Implements and analyzes agreement protocols within multi-agent dynamical systems using algebraic dynamics and topological principles.
Analyzes and identifies sets within dynamical systems that are preserved by the flow of differential equations and manifolds.
Analyzes invariant sets and long-term trajectory behaviors within dynamical systems to model stable states and system evolution.
Generates visual bifurcation diagrams to track stability transitions and behavior changes in dynamical systems.
Analyzes symmetric bifurcations and symmetry-breaking patterns in complex dynamical systems and differential equations.
Verifies that neural network training trajectories have reached theoretical Gibbs equilibrium using Fokker-Planck equations.
Provides unified access to topos-theoretic resources, mathematical music theory, and categorical database structures for advanced AI reasoning.
Transforms structured data and acsets using category-theoretic graph rewriting techniques like DPO, SPO, and SqPO.
Routes complex tasks to specialized subagent triads using GF(3) triadic logic to ensure balanced execution and validation.
Analyzes time-series data using scaling theory to identify turbulence regimes, persistence, and long-range dependencies.
Implements intrinsic motivation for AI agents by rewarding compression progress and the discovery of learnable patterns.
Analyzes the qualitative behavior and robustness of solutions near equilibria in complex dynamical systems.
Recovers local structural seeds from global color distributions using Möbius inversion and topological duality.
Enables high-performance bidirectional navigation and transformation of complex nested data structures using compiled path expressions and constraint logic.
Implements bidirectional constraint propagation and fixpoint derivation for complex autonomous information networks.
Transforms quantum qubit states into expressive musical textures through Bloch sphere sonification and MIDI control.
Implements bottom-up fixpoint iteration for recursive Datalog queries using saturation-based evaluation.
Facilitates real-time, multi-modal continuous coaching and guidance through LiveKit using dynamic modality selection and symbolic expression processing.
Generates sheaf-theoretic models and forces propositions within topos theory to enable advanced mathematical modeling and logic synthesis.
Performs advanced geodesic calculations and Riemannian manifold operations for geospatial navigation and spherical geometry.
Models and analyzes the categorical structure of dynamical systems to evaluate stability and qualitative behavior.
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