Search Skills

Provides production-ready reinforcement learning algorithms (PPO, SAC, DQN) with scikit-learn-like API for standard RL experiments and prototyping.

Advanced computational pathology toolkit for WSI analysis, nucleus segmentation, and ML model training on pathology data.

Creates publication-ready scientific figures with multi-panel layouts, error bars, and journal-specific formatting using matplotlib, seaborn, and plotly.

Generates comprehensive market research reports with strategic frameworks, professional LaTeX formatting, and integrated data gathering for consulting-style analysis.

Infers gene regulatory networks from transcriptomics data using GRNBoost2 and GENIE3 for TF-target gene relationships.

Enables distributed computing for pandas and NumPy workflows, scaling beyond memory limits and across clusters for parallel processing and distributed machine learning.

End-to-end analysis of Neuropixels neural recordings with spike sorting, motion correction, and AI-assisted curation for electrophysiology research.

Efficiently searches bioRxiv preprints by keywords, authors, dates, and categories, retrieving metadata and PDFs for life sciences literature reviews.

Programmatically accesses NIH Metabolomics Workbench database for metabolite queries, MS/NMR data, and study metadata to support biomarker discovery research.

Fast CLI/Python tool for interactive queries across 20+ bioinformatics databases including gene info, BLAST, and AlphaFold structures.

Automates exploratory data analysis for scientific datasets, detecting file types and generating markdown reports with quality metrics and recommendations.

Provides specialized machine learning tools for time series analysis including forecasting, anomaly detection, and clustering with scikit-learn compatible APIs.

Guides academic researchers in selecting statistical tests, checking assumptions, conducting power analysis, and generating APA-formatted results for research reporting.

Crafts competitive research proposals for major agencies, ensuring compliance with formatting, review criteria, and required sections like broader impacts.

Conducts systematic literature reviews across biomedical and scientific domains, generating professionally formatted markdown/PDF documents with verified citations in multiple styles.

Enables efficient storage and parallel access of large scientific datasets using chunked arrays with cloud storage integration and scientific library compatibility.

High-performance reinforcement learning framework for fast parallel training, vectorized environments, and multi-agent systems with game environment integrations.

Provides SHAP-based model interpretability and explainability for machine learning, including feature importance and plot generation (waterfall, beeswarm, etc.).

Simplified Python interface for RDKit, enabling efficient drug discovery tasks including SMILES parsing and molecular standardization.

Converts academic papers into interactive websites, presentation videos, and conference posters for effective scholarly dissemination and engagement.

Comprehensive toolkit for developing, testing, and deploying machine learning models with clinical data and healthcare datasets.

Framework for developing and running quantum circuits on IBM Quantum hardware, featuring error mitigation and enterprise deployment tools.

Processes and analyzes massive tabular datasets (billions of rows) using out-of-core operations, lazy evaluation, and efficient visualization without exceeding memory limits.

Accesses and analyzes comprehensive drug data from DrugBank, including properties, interactions, targets, and pharmacology for research and discovery.