Discover Agent Skills for data science & ml. Browse 61 skills for Claude, ChatGPT & Codex.
Queries and analyzes over 240 million scholarly works, authors, and institutions using the OpenAlex API.
Extracts narrative arcs, measures token novelty, and generates causality graphs from text and code repositories.
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.
Create publication-quality charts, graphs, and complex data visualizations using Python's foundational plotting library.
Scales Python data workflows for parallel and distributed computing across larger-than-memory datasets.
Analyzes single-cell omics data using probabilistic models for tasks like batch correction, dimensionality reduction, and differential expression.
Analyzes and implements stationary measures for the KPZ equation using Liouville quantum gravity and matrix product ansatz.
Implements compositional string diagrams and operadic structures for categorical computing and active inference.
Generates high-performance, structured prompts for LLMs using research-backed techniques like XML tagging, few-shot examples, and chain-of-thought reasoning.
Performs advanced survival analysis and time-to-event modeling using the scikit-survival Python library.
Accesses the UniProt REST API to perform comprehensive protein searches, sequence retrieval, and cross-database identifier mapping.
Automates scientific hypothesis generation and empirical testing using large language models and research literature integration.
Empowers developers with expert-level statistical modeling, experiment design, and production-grade machine learning workflows.
Applies machine learning to genomic interval data for training region embeddings, analyzing scATAC-seq, and building consensus peak universes.
Accelerates reinforcement learning workflows through high-performance parallel environment simulation and optimized PPO training.
Analyzes complex dynamical systems and strange attractors with sensitive dependence on initial conditions.
Performs comprehensive differential gene expression analysis on bulk RNA-seq data using the PyDESeq2 framework.
Performs high-dimensional geometric multi-resolution analysis with deterministic local reconstructability across MATLAB, Julia, and Python.
Extracts and structures algorithm pseudocode from academic research papers into actionable implementation plans.
Generates complex declarative vector graphics and scientific visualizations using the Haskell Diagrams embedded domain-specific language.
Interacts with the Replicate AI platform to run models, manage deployments, and perform fine-tuning directly from the command line.
Analyzes and predicts message stream patterns using triadic GF(3) classification and Hylang-based regime detection.
Processes and analyzes biological data using scikit-bio for sequence alignment, phylogenetics, and microbiome diversity studies.
Automates biological computation tasks including sequence analysis, structural bioinformatics, and programmatic NCBI database access.
Provides unified access to over 20 genomic databases for sequence analysis, protein structure prediction, and gene expression queries.
Generates visual bifurcation diagrams to analyze parameter-dependent transitions in dynamical systems.
Models and analyzes dynamical systems where stability exchanges between equilibria during bifurcation events.
Analyzes the stability and qualitative behavior of dynamical systems using scalar functions that decrease along trajectories.
Manipulates and analyzes genomic datasets including SAM, BAM, VCF, and FASTA files using a Pythonic interface to htslib.
Scroll for more results...