Discover Agent Skills for data science & ml. Browse 61skills for Claude, ChatGPT & Codex.
Builds robust Retrieval-Augmented Generation (RAG) systems to ground LLM applications in external knowledge bases and vector databases.
Builds and automates end-to-end MLOps pipelines from data preparation and model training to validation and production deployment.
Generates publication-quality scientific diagrams and neural network architectures with AI-powered quality review.
Performs advanced molecular analysis and manipulation using the RDKit toolkit for drug discovery and computational chemistry.
Builds and trains Graph Neural Networks (GNNs) for deep learning on irregular structures and relational data.
Queries the Ensembl REST API to retrieve gene annotations, sequences, variants, and comparative genomic data for over 250 species.
Build and validate sophisticated Bayesian models using PyMC's modern probabilistic programming API.
Builds and deploys bioinformatics workflows using the Latch SDK and serverless cloud infrastructure.
Analyzes single-cell omics data using deep generative models and probabilistic inference within the scvi-tools framework.
Optimizes LLM performance through advanced prompt patterns including few-shot learning, chain-of-thought reasoning, and modular template systems.
Executes complex biomedical research tasks including genomics analysis, drug discovery, and clinical interpretation via autonomous AI agents.
Performs constraint-based metabolic modeling and systems biology simulations using the COBRApy framework.
Evaluates scholarly research and academic papers using the ScholarEval framework to provide structured quality assessments and quantitative scoring.
Interfaces with the Reactome REST API to perform biological pathway analysis, gene enrichment, and molecular interaction mapping for systems biology research.
Accesses and queries global statistical data from Data Commons to provide programmatic insights into demographics, economics, and environmental indicators.
Queries and analyzes over 240 million scholarly works, authors, and institutions using the OpenAlex API for comprehensive bibliometric research.
Accesses and analyzes comprehensive pharmaceutical data from DrugBank for drug discovery, pharmacology research, and safety analysis.
Productionizes machine learning models and builds scalable AI systems with deep expertise in MLOps, RAG architectures, and high-performance inference.
Optimizes AI model performance and system architecture through advanced prompt engineering, RAG frameworks, and agentic design patterns.
Manipulates Excel files with dynamic formulas, professional financial formatting, and automated validation for error-free data analysis.
Integrates LangChain4j into Spring Boot applications using auto-configuration and declarative AI Services.
Performs exact symbolic mathematical computations including algebra, calculus, and physics modeling directly in Python.
Accesses and queries the Catalogue of Somatic Mutations in Cancer (COSMIC) for precision oncology and genomic research.
Generates professional, publication-ready clinical decision support documents, biomarker-stratified cohort analyses, and evidence-based treatment guidelines.
Implements Model Context Protocol (MCP) servers using LangChain4j to bridge AI models with enterprise tools and data resources.
Implement and optimize production-grade prompt patterns including few-shot learning and chain-of-thought reasoning for enhanced LLM performance.
Automates laboratory data management and R&D workflows by integrating Benchling's registry, inventory, and ELN systems via Python SDK and REST API.
Integrates Claude with the DNAnexus cloud genomics platform to develop bioinformatics pipelines, manage data, and orchestrate workflows.
Accesses and queries the NIH Metabolomics Workbench repository for metabolite structures, experimental study data, and standardized nomenclature.
Performs specialized time series machine learning tasks including classification, forecasting, and anomaly detection using scikit-learn compatible APIs.
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