Explora nuestra colección completa de Habilidades de Claude que extienden las capacidades de los agentes de IA.
Orchestrates polyglot development environments for social data analysis and multimedia processing using Clojure, Julia, and DuckDB.
Provides AI-powered documentation and context-aware Q&A for public GitHub repositories.
Enforces GF(3) ternary color conservation across data navigation paths to ensure deterministic traversal and structural integrity.
Indexes a curated collection of applied category theory, MCP servers, and high-performance functional programming resources.
Implements Flix-based Datalog reasoning with lattice semantics and GF(3) coloring for declarative routing and skill composition.
Builds sophisticated AI-powered applications using advanced prompt engineering, RAG patterns, and multi-provider LLM integrations.
Ensures resilient skill synchronization and state equivalence across multiple AI agents using ternary conservation laws.
Models and composes complex strategic games using categorical Para/Optic structures and game theory semantics.
Converts mathematical documents and images into structured LaTeX and ACSet data models using resilient balanced ternary checkpoints.
Implements self-improving AI systems using formal verification and evolutionary search to safely enhance agent performance.
Builds, trains, and validates high-fidelity psychological models from interaction patterns to simulate cognitive behavior and intellectual trajectories.
Monitors real-time social media streams via MCP and persists engagement data using DuckDB for advanced analytical insights.
Integrates Rubato Composer to enable mathematical music composition and analysis using the Topos of Music framework.
Classifies and filters dependency graph paths using Möbius inversion to optimize proof structures and resolve circular logic.
Orchestrates Model Context Protocol (MCP) servers using a mathematical 3-partite framework to ensure balanced tool integration and data validation.
Facilitates higher-dimensional type theory and formal verification using observational bridge types and structured proof assistants.
Generates deterministic GF(3) colored identifiers for hierarchical spatial indexing and location-based clustering.
Provides rigorous correctness guarantees for AI systems through automated theorem proving, interval arithmetic, and categorical proofs.
Verifies global consistency across modular codebases using topological sheaf cohomology and Čech descent conditions.
Implements Geoffrey Hinton's Forward-Forward algorithm to enable local, layer-wise neural network training without backpropagation.
Constructs and verifies Ramanujan graphs to ensure optimal spectral expansion and network mixing times.
Optimizes YouTube long-form content for maximum watch time, SEO rankings, and viral potential through data-driven growth strategies.
Ensures local-to-global signal consistency in Brain-Computer Interface data using cellular sheaves and Cech cohomology.
Constructs category-theoretic knowledge representations to define rigorous database schemas and conceptual models.
Coordinates programmable chemical synthesis by executing Turing-complete XDL programs on modular robotic hardware.
Builds, trains, and validates high-fidelity psychological models from interaction patterns to predict cognitive trajectories and generate authentic responses.
Transforms logical proofs into interactive game-theoretic strategies for witness extraction and formal verification.
Enables professional Common Lisp development workflows by integrating SLIME-style interactive evaluation and environment management.
Verifies the global consistency of modular code structures and data schemas using mathematical Čech cohomology principles.
Automates universal schema migrations and data transformations using advanced category theory principles.
Scroll for more results...