Discover Agent Skills for data science & ml. Browse 61 skills for Claude, ChatGPT & Codex.
Performs specialized biological validation for ChIP-seq data by calculating cross-correlation metrics and fraction of reads in peaks.
Builds and validates the three-level Gioia data structure for systematic qualitative research analysis and academic publication.
Axiomatizes the directed interval 0 → 1 to model irreversible processes and time-directed homotopy in synthetic infinity-categories.
Resolves conflicting research patterns and theoretical tensions using contemplative, non-dual reasoning frameworks.
Performs transcription factor footprinting and differential binding detection on ATAC-seq data using the TOBIAS framework.
Evaluates research rigor and scientific claims by assessing methodology, statistical validity, and potential biases using standardized frameworks.
Automates the retrieval of SageMaker backtest results from Amazon S3 for local analysis and performance comparison.
Streamlines the configuration and validation of Hotvect algorithm training runs for Vowpal Wabbit.
Optimizes trade execution using advanced algorithms like TWAP, VWAP, and Iceberg orders to minimize market impact and slippage.
Automates the retrieval of training and test data dependencies from S3 for local machine learning model development and backtesting.
Implements intrinsic motivation for AI agents by rewarding compression progress and the discovery of learnable patterns.
Manages quantum-classical network transitions and state conservation using s-expressions across polyglot computing environments.
Performs ultra-fast portfolio backtesting and trading strategy analysis using the Polars library.
Synthesizes multiple advanced theoretical frameworks from world-class researchers to solve complex problems through high-level meta-reasoning.
Implements interventional and counterfactual reasoning patterns for deliberate System 2 deep learning and causal world modeling.
Captures and stores failed Hotvect command invocations as executable shell scripts for seamless debugging and reproduction.
Builds, optimizes, and deploys production-grade neural networks using PyTorch, TensorFlow, and modern transformer architectures.
Automates production-grade ETL pipelines and data orchestration using industry-standard tools like Airflow, dbt, and Prefect.
Evaluates research rigor, methodology, and statistical validity to perform critical analysis of scientific claims.
Manipulates, analyzes, and visualizes phylogenetic trees and genomic data with the Environment for Tree Exploration (ETE) framework.
Composes complex 3D environments and terrains for robotic simulation and reinforcement learning training.
Provides a unified framework for humanoid robot development, reinforcement learning training, and sim-to-real deployment.
Integrates polynomial functors and category-theoretic operads to model complex interaction patterns and dynamical systems within AI workflows.
Provides standardized C++20 implementations for high-performance numerical computing, matrix operations, and parallel I/O.
Processes and analyzes complex physiological signals including ECG, EEG, and EDA for psychophysiology research and medical data science.
Performs Gene Ontology and KEGG pathway enrichment analysis from genomic regions or gene lists with automated R-based visualizations.
Orchestrates a polyglot environment for social network analysis and multimedia processing using Clojure, Julia, and DuckDB.
Enables Claude to perform complex scientific research by providing access to over 600 bioinformatics, genomics, and cheminformatics tools.
Analyzes protein-mediated chromatin interactions to identify and visualize regulatory communities from ChIA-PET datasets.
Streamlines the development of data processing pipelines, ABAP integrations, and machine learning scenarios within SAP Data Intelligence Cloud.
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