Discover Agent Skills for data science & ml. Browse 61skills for Claude, ChatGPT & Codex.
Executes and visualizes machine learning clustering algorithms to discover patterns and groupings within complex datasets.
Generates standardized JavaScript scaffolds and implementation patterns for Tradovate trading indicators.
Provides expert guidance and implementation patterns for explainable AI using SHAP values across various machine learning models.
Integrates Google's Gemini API suite into Claude Code for multimodal analysis, image generation, and real-time search grounding.
Accesses and queries the PubChem database via PUG-REST API and PubChemPy for comprehensive chemical informatics and compound analysis.
Generates high-performance text embeddings via the Google Gemini API for semantic search, RAG, and data classification tasks.
Simplifies Python-based LLM interactions by providing a unified interface for over 100 cloud and local providers using the OpenAI format.
Configures and manages Mozilla Llamafile to run high-performance GGUF models locally with an OpenAI-compatible API.
Accesses and processes gene expression and functional genomics data from the NCBI Gene Expression Omnibus repository.
Provides programmatic access to over 40 bioinformatics web services and databases for integrated biological data analysis and workflow automation.
Implements probabilistic deep learning models for comprehensive single-cell omics data analysis and multimodal integration.
Generates professional, publication-quality plots and charts using Python's foundational visualization library.
Generates publication-quality scientific diagrams and neural network architectures using AI-driven iterative refinement.
Automates the complete scientific research lifecycle from initial data analysis to publication-ready LaTeX manuscripts.
Analyzes textual data using natural language processing to extract sentiment, keywords, and core topics.
Provides programmatic access to global statistical datasets including demographic, economic, and environmental indicators via the Data Commons API.
Queries the Ensembl REST API to retrieve gene data, sequences, and variant analysis for over 250 species.
Builds professional investment banking-standard discounted cash flow (DCF) models in Excel with automated financial projections and sensitivity analysis.
Processes and analyzes complex physiological signals including ECG, EEG, EDA, and more using the NeuroKit2 Python library.
Scales Python data processing and scientific computing across multiple cores or clusters for datasets that exceed available memory.
Performs constraint-based metabolic modeling and systems biology simulations using the COBRApy framework.
Simplifies astronomical data analysis and astrophysical calculations using the comprehensive Astropy Python library.
Systematically evaluates research papers and scholarly work using the ScholarEval framework for rigorous academic assessment.
Engineers production-ready Agent Development Kit (ADK) applications with automated testing, multi-agent orchestration, and GCP deployment.
Architects production-ready autonomous AI agents and multi-agent systems using Google's Agent Development Kit and Claude.
Parses and manages Flow Cytometry Standard (FCS) files to extract event data, metadata, and convert datasets for scientific analysis.
Performs fast, nonlinear dimensionality reduction to visualize high-dimensional data and optimize machine learning clustering workflows.
Optimizes deep learning models by refining architectures and training parameters to enhance accuracy and reduce resource consumption.
Builds professional-grade Leveraged Buyout (LBO) models in Excel for private equity analysis and transaction screening.
Optimizes LLM performance through advanced prompt design, agentic system architecture, and rigorous evaluation frameworks.
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