Discover Agent Skills for data science & ml. Browse 61 skills for Claude, ChatGPT & Codex.
Linearizes non-linear dynamical systems using Koopman operator theory to generate predictive models from observables.
Models and analyzes dynamical systems by assigning vectors to points in phase space to define system evolution.
Orchestrates complex AI skill ecosystems using category theory, topological synthesis, and deterministic GF(3) conservation.
Performs high-dimensional geometric multi-resolution analysis with deterministic local reconstructability across MATLAB, Julia, and Python.
Maps and analyzes bidirectional observation relationships between agents using sheaf-theoretic consistency and multi-agent awareness graphs.
Decomposes complex computational problems into three GF(3)-balanced components for optimized parallel execution and sheaf-theoretic gluing.
Implements massively parallel functional computation using interaction nets and GPU-accelerated graph reduction.
Generates and evolves topological code patterns through autopoietic interaction and color-based seeds.
Facilitates topological data integration and autopoietic skill evolution within the worldmat framework.
Performs complex algebraic graph rewriting over Attributed C-Sets (ACSets) using DPO, SPO, and SqPO methodologies.
Verifies mathematical conservation laws and manages autopoietic logic within topological computational frameworks.
Enables structured generation and algebraic composition of n-ary operations using colored operads.
Computes shortest paths on spherical surfaces and Riemannian manifolds for navigation, aviation routing, and spatial analysis.
Bridges neural network sparsity research with Unison’s content-addressed ability system to optimize sparse computation and scaling.
Facilitates self-evolving topological aggregations and pattern recognition within the Gay MCP framework.
Facilitates topological diffusion and autopoietic learning patterns within the Model Context Protocol framework.
Processes mass spectrometry data, standardizes metadata, and calculates spectral similarities for metabolomics workflows.
Implements adaptive learning and high-performance trajectory tracking for autonomous agents using the AgentDB vector backend.
Integrates the Reactome pathway database to perform biological enrichment analysis, gene mapping, and molecular interaction queries for systems biology research.
Integrates the COSMIC cancer mutation database into bioinformatics workflows for somatic mutation analysis and precision oncology research.
Analyzes planetary intelligence and crypto-geographic data using AI2 OlmoEarth foundation models optimized for Apple Silicon.
Accesses and analyzes NCBI Gene Expression Omnibus (GEO) data for transcriptomics and functional genomics research.
Facilitates creative scientific ideation by generating hypotheses, exploring interdisciplinary connections, and challenging research assumptions.
Creates journal-ready, publication-quality scientific figures with standardized styling, multi-panel layouts, and colorblind-safe palettes.
Automates the end-to-end scientific research pipeline from initial hypothesis generation to publication-ready LaTeX manuscripts.
Analyzes and manipulates data patterns using Gestalt perceptual principles and topological logic to identify emergent structures.
Implements and optimizes reinforcement learning agents using the Stable Baselines3 library for PyTorch.
Provides a comprehensive suite of Unix command-line utilities for high-performance data transformation, validation, and lifecycle tracking.
Standardizes and catalogs diverse Gymnasium and OpenAI Gym environments for reinforcement learning across physics, robotics, chemistry, and gaming domains.
Analyzes and categorizes video content using a GF(3) triadic framework to ensure deterministic processing and system-wide data conservation.
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