Discover Agent Skills for data science & ml. Browse 61 skills for Claude, ChatGPT & Codex.
Automates professional spreadsheet creation, data analysis, and financial modeling with a focus on formula-driven logic.
Analyzes and models Hopf bifurcations to identify transitions from equilibrium to limit cycles in complex dynamical systems.
Analyzes and implements convergence patterns in coupled dynamical systems for complex mathematical modeling.
Navigates complex conceptual possibility spaces using type-theoretic bridge transitions and ordered locale structures.
Implements high-performance adaptive learning and memory distillation for AI agents using the AgentDB vector engine.
Implements the DRIVER methodology for research-driven, collaborative finance and quantitative tool development.
Automates the creation of high-quality training datasets from Claude conversation history and local skill files to fine-tune LLMs using MLX on Apple Silicon.
Integrate 9 reinforcement learning algorithms to build self-improving AI agents that learn from experience and optimize behavior autonomously.
Orchestrates multi-agent AI swarms for parallel task execution and dynamic coordination using the agentic-flow framework.
Analyzes dynamical systems using partial derivative matrices to linearize complex flows and evaluate local stability.
Extracts and verifies information deltas between Claude.ai conversation exports using categorical morphisms and bisimulation.
Analyzes conversation threads and concept networks using advanced relational thinking and ACSet modeling.
Implements the Symmetry Theory of Valence (STV) to analyze, map, and optimize phenomenal states through topological mathematical models.
Creates and optimizes elizaOS knowledge bases using RAG, smart chunking strategies, and semantic search integration.
Analyzes and implements robust dynamical systems by ensuring stable equilibria through eigenvalue placement.
Manages ergodic local updates using Blume-Capel dynamics and GF(3) conservation for topological graph rewriting.
Orchestrates a topological system of specialized skills using category theory, ternary logic, and autonomous synthesis protocols.
Transforms multi-browser history into a unified categorical structure for behavioral analysis and cross-language data consistency.
Implements self-indexing automata and metabolic computational patterns at the edge of chaos using GF(3) logic.
Analyzes the robustness of qualitative dynamics in complex systems to ensure stability under perturbations.
Computes non-Archimedean distance metrics for hierarchical clustering, p-adic analysis, and version control ancestry.
Analyzes code structure using topological data analysis to identify stable features and structural vulnerabilities across complexity levels.
Implements coordinate changes that preserve system dynamics within complex dynamical systems and manifolds.
Generates deterministic, triadic opinions on propositions using a SplitMix64-based hashing algorithm for algorithmic hyperrealpolitik.
Orchestrates triadic parallel agent dispatch using ordered locale theory and deterministic seeding for balanced AI workflows.
Analyzes dynamical systems using the LaSalle Invariance Principle to determine asymptotic stability and long-term qualitative behavior.
Performs deterministic, color-coded Monte Carlo uncertainty propagation and gamut-aware probability distribution analysis.
Analyzes dynamical systems to identify and model manifolds of points converging toward equilibrium states.
Sonifies Galois Field color streams and code execution flows using mathematical music theory and categorical structures.
Facilitates topological transport of data structures using harmonic centrality and GF(3) Galois actions for conserved graph-based operations.
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