Discover Agent Skills for data science & ml. Browse 61 skills for Claude, ChatGPT & Codex.
Facilitates collaborative research ideation to generate novel hypotheses, identify research gaps, and develop innovative scientific methodologies.
Predicts high-accuracy 3D protein-ligand binding poses using state-of-the-art diffusion-based deep learning models.
Architects production-ready autonomous AI agents and multi-agent systems using Google's Agent Development Kit and Claude.
Engineers production-ready Agent Development Kit (ADK) applications with automated testing, multi-agent orchestration, and GCP deployment.
Systematically evaluates research papers and scholarly work using the ScholarEval framework for rigorous academic assessment.
Accesses and analyzes NCBI Gene Expression Omnibus (GEO) data for transcriptomics and genomics research.
Simplifies astronomical data analysis and astrophysical calculations using the comprehensive Astropy Python library.
Performs constraint-based metabolic modeling and systems biology simulations using the COBRApy framework.
Scales Python data processing and scientific computing across multiple cores or clusters for datasets that exceed available memory.
Processes and analyzes complex physiological signals including ECG, EEG, EDA, and more using the NeuroKit2 Python library.
Streamlines systematic literature searches and reference management using PubMed, PICO analysis, and citation metrics.
Builds professional investment banking-standard discounted cash flow (DCF) models in Excel with automated financial projections and sensitivity analysis.
Queries the Ensembl REST API to retrieve gene data, sequences, and variant analysis for over 250 species.
Provides programmatic access to global statistical datasets including demographic, economic, and environmental indicators via the Data Commons API.
Analyzes textual data using natural language processing to extract sentiment, keywords, and core topics.
Automates the complete scientific research lifecycle from initial data analysis to publication-ready LaTeX manuscripts.
Generates publication-quality scientific diagrams and neural network architectures using AI-driven iterative refinement.
Generates professional, publication-quality plots and charts using Python's foundational visualization library.
Implements probabilistic deep learning models for comprehensive single-cell omics data analysis and multimodal integration.
Performs constraint-based metabolic modeling, flux balance analysis, and gene knockout simulations for systems biology and metabolic engineering.
Provides programmatic access to over 40 bioinformatics web services and databases for integrated biological data analysis and workflow automation.
Accesses and processes gene expression and functional genomics data from the NCBI Gene Expression Omnibus repository.
Configures and manages Mozilla Llamafile to run high-performance GGUF models locally with an OpenAI-compatible API.
Simplifies Python-based LLM interactions by providing a unified interface for over 100 cloud and local providers using the OpenAI format.
Generates high-performance text embeddings via the Google Gemini API for semantic search, RAG, and data classification tasks.
Accesses and queries the PubChem database via PUG-REST API and PubChemPy for comprehensive chemical informatics and compound analysis.
Integrates Google's Gemini API suite into Claude Code for multimodal analysis, image generation, and real-time search grounding.
Generates publication-quality scientific visualizations and complex multi-panel plots using Python's foundational Matplotlib library.
Automates end-to-end scientific research workflows from data analysis and hypothesis generation to producing publication-ready LaTeX papers.
Generates high-quality speech audio locally on Apple Silicon using MLX acceleration and the Kokoro model.
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