Discover Agent Skills for data science & ml. Browse 61skills for Claude, ChatGPT & Codex.
Builds and validates high-fidelity psychological models to predict behaviors and generate authentic cognitive responses matching a subject's unique patterns.
Interleaves context-aware Mermaid diagrams into interactions using GF(3) triadic selection logic.
Identifies enriched transcription factor binding motifs in genomic regions or gene lists using the HOMER bioinformatics suite.
Bridges classical music theory with quantum computing to compose and perform algorithmic music using quantum circuits and ZX-calculus.
Provides a powerful Clojure environment for symbolic mathematics, automatic differentiation, and computational classical mechanics.
Detects phase transitions and classifies dynamical system states using fixed-point distance measurements and self-loop closure verification.
Implements high-performance JAX-based agentic simulations to model emergent behaviors, tool use, and open-ended cultural evolution.
Navigates complex mathematical and ontological possibility spaces using Badiou-inspired event logic and Kripke semantics.
Orchestrates complex AI behaviors using a tripartite framework of hierarchical stratification, compositional fabrication, and mathematical conservation.
Balances algorithmic complexity with exploratory game theory to optimize proof discovery and extract World Extractable Value (WEV).
Orchestrates complex world-state transformations using categorical rewriting, graph grafting, and formal semantic verification.
Bridges Scholze-Clausen condensed mathematics and analytic stacks to sheaf neural networks via 6-functor formalisms.
Generates deterministic behavioral patterns using seed chaining and GF(3) conservation laws as a high-speed alternative to temporal training.
Streamlines the creation, management, and serving of scalable feature stores within the Databricks MLOps ecosystem.
Provides high-performance bidirectional data navigation and transformation for Julia collections, S-expressions, and ACSets.
Optimizes machine learning workflows on Databricks by implementing structured MLflow experiment tracking and model governance patterns.
Generates normalized BigWig signal tracks from BAM files for ATAC-seq and ChIP-seq visualization.
Axiomatizes the directed interval 0 → 1 to model irreversible processes and time-directed homotopy in synthetic infinity-categories.
Navigates complex state spaces and possible worlds using Badiou-inspired ontology and triangle inequality constraints.
Implements high-performance adaptive learning and experience replay for AI agents using AgentDB's ultra-fast vector storage.
Analyzes and implements saddle-node bifurcations for modeling qualitative changes in dynamical systems and equilibrium pairs.
Facilitates exploratory abductive reasoning and hypothesis testing through interactive REPL environments.
Implements a rigorous 6-phase framework for conducting and analyzing qualitative research with mandatory bias prevention and reproducible methodology.
Implements automated model monitoring, drift detection, and performance tracking for production machine learning systems on Databricks.
Generates professional data-driven presentations and whitepapers using Marp and Pandoc with full citation support and reproducibility.
Guides rigorous, intellectually honest interpretation of data query results to ensure objective and actionable conclusions.
Build and manage declarative, self-healing data pipelines with built-in quality enforcement and automated lineage tracking.
Generates professional terminal-based and image-based data visualizations to enhance analytical insights and documentation.
Models and explores concept networks using relational ACSet structures and Langevin thermal dynamics for deep semantic analysis.
Evaluates methodological quality and potential bias in research studies using standardized frameworks like RoB 2 and ROBINS-I.
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