Discover Agent Skills for data science & ml. Browse 61 skills for Claude, ChatGPT & Codex.
Ensures local-to-global signal consistency in Brain-Computer Interface data using cellular sheaves and Cech cohomology.
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.
Enhances subthreshold signal detection using noise-optimization techniques and Kramers escape rate calculations.
Constructs and verifies Ramanujan graphs to ensure optimal spectral expansion and network mixing times.
Integrates fal.ai audio models for high-accuracy speech-to-text, premium text-to-speech, and advanced voice cloning.
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.
Orchestrates a multi-language environment for advanced social data analysis, media processing, and deterministic generative aesthetics using Julia, Clojure, and Python.
Enforces GF(3) ternary color conservation across data navigation paths to ensure deterministic traversal and structural integrity.
Builds sophisticated AI-powered applications using advanced prompt engineering, RAG patterns, and multi-provider LLM integrations.
Classifies and filters dependency graph paths using Möbius inversion to optimize proof structures and resolve circular logic.
Orchestrates polyglot development environments for social data analysis and multimedia processing using Clojure, Julia, and DuckDB.
Models concurrent and distributed systems using categorical Petri nets to simulate resource flow and event transitions.
Converts mathematical documents and images into structured LaTeX and ACSet data models using resilient balanced ternary checkpoints.
Extends splittable random number generation with GF(3) balanced ternary streams for parallel triadic systems.
Performs high-performance steady-state distribution power system analysis, including power flow, state estimation, and short-circuit calculations.
Provides a comprehensive C API reference for BLAS and LAPACK numerical linear algebra routines.
Orchestrates polyglot environments for social data analysis and multimedia processing using Clojure, Julia, and DuckDB.
Accelerates parallel computing development using the OpenCL SDK for cross-platform GPU and CPU execution.
Implements higher topos theory and ∞-sheaf logic to provide a rigorous mathematical framework for complex systems and BCI data modeling.
Generates and analyzes chemical reaction network (CRN) topologies to predict dynamical behaviors through graph theory and linear algebra.
Analyzes and optimizes electric power networks using the pandapower Python library.
Generates deterministic GF(3) colored identifiers for hierarchical spatial indexing and location-based clustering.
Extracts frame-invariant patterns and self-inverse derivation structures from interaction dynamics using GF(3) conservation.
Generates high-quality AI images using leading models like FLUX, SDXL, and Ideogram through the fal.ai API.
Implements Guerino Mazzola’s mathematical music theory using categorical structures, Scheme integration, and the Topos of Music framework.
Implements Fisher-Rao metrics and natural gradient optimization on statistical manifolds for advanced probabilistic modeling.
Implements Schmidhuber's curiosity-driven framework to provide AI agents with intrinsic motivation based on compression progress.
Optimizes fal.ai AI model deployments for maximum speed, minimal latency, and reduced infrastructure costs.
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