Discover Agent Skills for data science & ml. Browse 61 skills for Claude, ChatGPT & Codex.
Implements decentralized prediction markets for evaluating the 'interestingness' of deterministic observations using compression progress metrics.
Steers LLM behavior on Apple Silicon via representation engineering and control vector extraction.
Executes GNU Scheme code to enable symbolic logic, functional programming, and advanced topological data analysis within Claude.
Orchestrates bidirectional MLX-JAX workflows using spectral gap analysis and topological life pattern resurrection.
Empowers molecular machine learning workflows, including property prediction, drug discovery, and graph neural networks for chemistry and biology.
Connects Claude to the Data Commons Knowledge Graph to retrieve and analyze global statistical, economic, and environmental data.
Manages and optimizes computational skills using physics-motivated information theory and categorical data structures.
Automates programmable chemical synthesis using the XDL language and modular robotic hardware instructions.
Leverages a multi-model ensemble to provide diverse, parallel insights from GPT, Gemini, and Claude for complex problem-solving.
Applies category theory and unique factorization principles to ensure structural integrity in complex systems.
Analyzes and implements stationary measures for the KPZ equation using Liouville quantum gravity and matrix product ansatz.
Optimizes Large Language Model performance through advanced prompt design patterns, agentic architectures, and comprehensive evaluation frameworks.
Implements a 3×3×3 matrix execution framework using the TiDAR pattern with GF(3) conservation invariants.
Analyzes single-cell omics data using probabilistic models for tasks like batch correction, dimensionality reduction, and differential expression.
Create publication-quality charts, graphs, and complex data visualizations using Python's foundational plotting library.
Automates scientific hypothesis generation and empirical testing using large language models and research literature integration.
Performs constraint-based reconstruction and analysis (COBRA) of metabolic models for systems biology and metabolic engineering.
Analyzes dynamical systems to identify measures preserved by flow and evaluate qualitative stability behavior.
Performs advanced molecular modeling, chemical property calculation, and substructure analysis using the RDKit toolkit.
Quantifies and extracts financial value from system inefficiencies by modeling transitions between selfish equilibria and optimal states.
Simulates complex physical systems using acausal equation-based modeling and Wolfram Language integration.
Deploys the GNU Scheme ecosystem to build secure, distributed cognitive agents using Active Inference and WebAssembly.
Generates complex declarative vector graphics and scientific visualizations using the Haskell Diagrams embedded domain-specific language.
Performs high-dimensional geometric multi-resolution analysis with deterministic local reconstructability across MATLAB, Julia, and Python.
Analyzes and predicts message stream patterns using triadic GF(3) classification and Hylang-based regime detection.
Analyzes and maps the qualitative transformations between dynamical systems using topological semi-conjugacy methods.
Generates professional, publication-ready clinical decision support documents and biomarker-stratified cohort analyses for pharmaceutical and clinical research.
Analyzes complex dynamical systems and strange attractors with sensitive dependence on initial conditions.
Builds and manages complex signal processing flowgraphs and custom Python blocks for Software Defined Radio (SDR) applications.
Implements self-indexing automata and metabolic computation models at the intersection of quantum and classical logic.
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