Discover Agent Skills for data science & ml. Browse 61skills for Claude, ChatGPT & Codex.
Verifies GF(3) symmetry conservation and Markov blanket integrity across renormalization group flows for cybernetic system stability.
Streamlines the creation of AI-powered applications through advanced prompt engineering, RAG orchestration, and multi-model API integration.
Reduces 3-SAT problems to colored subgraph isomorphism using non-backtracking geodesics and Möbius filtering.
Verifies thread ancestry and reconstructs balanced world states to facilitate epistemic arbitrage and skill orchestration.
Analyzes and models dynamical systems where equilibria exchange stability through transcritical bifurcations.
Optimizes and reasons about quantum circuits using graphical string diagrams and spider-based rewrite rules.
Provides a bidirectional bridge between S-expressions and Algebraic Julia data structures with high-performance navigation and transformation.
Extracts LaTeX and structural ACSet data from mathematical documents using Mathpix and balanced ternary checkpoints.
Analyzes and defines measures preserved by flows in dynamical systems to understand long-term qualitative behavior.
Synthesizes multiple advanced theoretical frameworks from world-class researchers to solve complex problems through high-level meta-reasoning.
Bridges Claude to external Personal Knowledge Graph systems like Mem0, Graphiti, and Solid PODs for persistent AI memory.
Approximates nonlinear dynamical systems using local linear models to analyze stability and phase space behavior.
Facilitates triadic agent orchestration on Rama-based distributed topologies using ASI patterns and GF(3) conservation logic.
Manages quantum-classical network transitions and state conservation using s-expressions across polyglot computing environments.
Generates visual bifurcation diagrams to track stability transitions and behavior changes in dynamical systems.
Analyzes the qualitative behavior and robustness of solutions near equilibria in complex dynamical systems.
Enables high-performance bidirectional navigation and transformation of complex nested data structures using compiled path expressions and constraint logic.
Provides comprehensive resources, mathematical models, and implementation patterns for simulating artificial life, evolutionary dynamics, and emergent systems.
Optimizes high-performance visualization for massive datasets exceeding 100 million points using Datashader and HoloViews.
Implements the directed Yoneda lemma as a principle for directed path induction within synthetic infinity-categories.
Implements deterministic seed-chaining and color derivations to replace temporal sequencing with verifiable mathematical logic.
Generates high-performance, deterministic SplitMix64 pseudo-random sequences for MLX and JAX workflows on Apple Silicon.
Optimizes LLM performance on Apple M-series chips using the MLX framework for high-efficiency local inference and fine-tuning.
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.
Bridges classical music theory with quantum computing to compose and perform algorithmic music using quantum circuits and ZX-calculus.
Provides a powerful Clojure environment for symbolic mathematics, automatic differentiation, and computational classical mechanics.
Detects phase transitions and classifies dynamical system states using fixed-point distance measurements and self-loop closure verification.
Implements high-performance JAX-based agentic simulations to model emergent behaviors, tool use, and open-ended cultural evolution.
Orchestrates complex AI behaviors using a tripartite framework of hierarchical stratification, compositional fabrication, and mathematical conservation.
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