Discover Agent Skills for data science & ml. Browse 61 skills for Claude, ChatGPT & Codex.
Orchestrates bidirectional MLX-JAX workflows using spectral gap analysis and topological life pattern resurrection.
Manages and optimizes computational skills using physics-motivated information theory and categorical data structures.
Calculates probability-weighted outcomes to facilitate rational decision-making under uncertainty for investments, product development, and strategic initiatives.
Simulates and models open-source contributor network dynamics using category-theoretic reinforcement learning and ACSet-native MDPs.
Implements and explores presheaf toposes as contravariant set-valued functors for categorical logic and structural data modeling.
Applies category theory and unique factorization principles to ensure structural integrity in complex systems.
Implements decentralized prediction markets for evaluating the 'interestingness' of deterministic observations using compression progress metrics.
Analyzes and implements stationary measures for the KPZ equation using Liouville quantum gravity and matrix product ansatz.
Provides programmatic access to over 40 bioinformatics web services for biological data retrieval, identifier mapping, and pathway analysis.
Implements a 3×3×3 matrix execution framework using the TiDAR pattern with GF(3) conservation invariants.
Implements and manages Quillen model category structures for formal homotopy theory and mathematical modeling.
Provides a comprehensive open-source framework for building, training, and deploying humanoid robots using reinforcement learning and sim-to-real transfer.
Steers LLM behavior on Apple Silicon via representation engineering and control vector extraction.
Optimizes the tradeoff between representation compression and computational response time using spectral graph theory and convergence analysis.
Analyzes dynamical systems to identify measures preserved by flow and evaluate qualitative stability behavior.
Performs constraint-based reconstruction and analysis (COBRA) of metabolic models for systems biology and metabolic engineering.
Create publication-quality charts, graphs, and complex data visualizations using Python's foundational plotting library.
Simulates complex physical systems using acausal equation-based modeling and Wolfram Language integration.
Analyzes single-cell omics data using probabilistic models for tasks like batch correction, dimensionality reduction, and differential expression.
Performs comprehensive differential gene expression analysis on bulk RNA-seq data using the PyDESeq2 framework.
Automates biological computation tasks including sequence analysis, structural bioinformatics, and programmatic NCBI database access.
Quantifies and extracts financial value from system inefficiencies by modeling transitions between selfish equilibria and optimal states.
Analyzes complex dynamical systems and strange attractors with sensitive dependence on initial conditions.
Automates scientific hypothesis generation and empirical testing using large language models and research literature integration.
Implements category-theoretic natural transformations to map between computational functors while preserving structural integrity.
Generates professional, publication-ready clinical decision support documents and biomarker-stratified cohort analyses for pharmaceutical and clinical research.
Analyzes and maps the qualitative transformations between dynamical systems using topological semi-conjugacy methods.
Performs high-dimensional geometric multi-resolution analysis with deterministic local reconstructability across MATLAB, Julia, and Python.
Implements high-performance LLVM-level automatic differentiation for Julia code on both CPU and GPU architectures.
Generates complex declarative vector graphics and scientific visualizations using the Haskell Diagrams embedded domain-specific language.
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