data science & ml向けのClaudeスキルを発見してください。61個のスキルを閲覧し、AIワークフローに最適な機能を見つけましょう。
Manages quantum-classical network transitions and state conservation using s-expressions across polyglot computing environments.
Implements high-performance persistent memory and pattern learning for stateful AI agents using AgentDB.
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.
Bootstraps and configures intelligent AI agents using the Google Agent Development Kit (ADK) with support for multiple LLM providers.
Automates the translation of MetaTrader 5 (MQL5) indicators into validated Python implementations for algorithmic trading.
Facilitates real-time, multi-modal continuous coaching and guidance through LiveKit using dynamic modality selection and symbolic expression processing.
Automates experiment tracking and backtest logging using the MLflow Python API and QuantStats metrics.
Generates sheaf-theoretic models and forces propositions within topos theory to enable advanced mathematical modeling and logic synthesis.
Integrate 9 reinforcement learning algorithms to build self-improving AI agents that learn from experience and optimize behavior autonomously.
Integrates Guerino Mazzola's Topos of Music framework to enable categorical music analysis and mathematical composition.
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.
Streamlines the creation of AI-powered features through expert prompt engineering, RAG patterns, and multi-model API integrations.
Manages the reparameterization of time in flows for complex dynamical systems and topological modeling.
Analyzes the stability and qualitative behavior of dynamical systems using scalar function trajectories.
Calculates molecular complexity using Assembly Theory to identify biosignatures and validate chemical pathways.
Generates visual bifurcation diagrams to track stability transitions and behavior changes in dynamical systems.
Models and analyzes one-parameter groups of diffeomorphisms generated by vector fields within dynamical systems.
Models and verifies state-dependent Markov games using Attributed C-sets and GF(3) conservation laws.
Analyzes the qualitative behavior and robustness of solutions near equilibria in complex dynamical systems.
Enhances AI reasoning by implementing a two-stage deliberate attention mechanism to filter noise and ensure factual grounding.
Computes and visualizes monoidal categories, quantum circuits, and natural language structures using string diagrams.
Analyzes the asymptotic behavior of trajectories in dynamical systems to determine long-term qualitative patterns.
Linearizes complex nonlinear dynamics using Koopman operator theory to enable predictive modeling through observable space.
Conducts rigorous, publication-quality quantitative research and statistical analysis using Stata through a systematic phased workflow.
Enables high-performance bidirectional navigation and transformation of complex nested data structures using compiled path expressions and constraint logic.
Models and analyzes invariant sets that repel nearby trajectories within complex dynamical systems and topological manifolds.
Validates World Extractable Value (WEV) and topological system states using GF(3) logic and cybernetic reafference loops.
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