data science & ml Claude 스킬을 발견하세요. 61개의 스킬을 탐색하고 AI 워크플로우에 완벽한 기능을 찾아보세요.
Analyzes and implements saddle-node bifurcations for modeling qualitative changes in dynamical systems and equilibrium pairs.
Axiomatizes the directed interval 0 → 1 to model irreversible processes and time-directed homotopy in synthetic infinity-categories.
Provides high-performance bidirectional data navigation and transformation for Julia collections, S-expressions, and ACSets.
Orchestrates complex world-state transformations using categorical rewriting, graph grafting, and formal semantic verification.
Balances algorithmic complexity with exploratory game theory to optimize proof discovery and extract World Extractable Value (WEV).
Orchestrates complex AI behaviors using a tripartite framework of hierarchical stratification, compositional fabrication, and mathematical conservation.
Detects phase transitions and classifies dynamical system states using fixed-point distance measurements and self-loop closure verification.
Provides a powerful Clojure environment for symbolic mathematics, automatic differentiation, and computational classical mechanics.
Bridges classical music theory with quantum computing to compose and perform algorithmic music using quantum circuits and ZX-calculus.
Models and analyzes time-varying data using sheaves on time categories for compositional temporal reasoning.
Interleaves context-aware Mermaid diagrams into interactions using GF(3) triadic selection logic.
Optimizes LLM performance on Apple M-series chips using the MLX framework for high-efficiency local inference and fine-tuning.
Generates high-performance, deterministic SplitMix64 pseudo-random sequences for MLX and JAX workflows on Apple Silicon.
Implements deterministic seed-chaining and color derivations to replace temporal sequencing with verifiable mathematical logic.
Implements the directed Yoneda lemma as a principle for directed path induction within synthetic infinity-categories.
Optimizes high-performance visualization for massive datasets exceeding 100 million points using Datashader and HoloViews.
Provides comprehensive resources, mathematical models, and implementation patterns for simulating artificial life, evolutionary dynamics, and emergent systems.
Analyzes the qualitative behavior and robustness of solutions near equilibria in complex dynamical systems.
Generates visual bifurcation diagrams to track stability transitions and behavior changes in dynamical systems.
Manages quantum-classical network transitions and state conservation using s-expressions across polyglot computing environments.
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.
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.
Analyzes and defines measures preserved by flows in dynamical systems to understand long-term qualitative behavior.
Optimizes and reasons about quantum circuits using graphical string diagrams and spider-based rewrite rules.
Extracts LaTeX and structural ACSet data from mathematical documents using Mathpix and balanced ternary checkpoints.
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.
Analyzes and models complex dynamical systems using ergodicity principles where time averages equate to space averages.
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