Discover Agent Skills for data science & ml. Browse 61 skills for Claude, ChatGPT & Codex.
Generates professional, multi-page PDF reports with formatted tables, text, and embedded data visualizations using the reportlab library.
Generates professional, publication-quality plots and data visualizations using Python's foundational plotting library.
Automates Excel spreadsheet manipulation, data analysis, and professional reporting using Python-based data science libraries.
Implement high-performance semantic search and vector storage for intelligent document retrieval and RAG systems.
Access and analyze NCBI Gene Expression Omnibus (GEO) data for transcriptomics and functional genomics research.
Queries the openFDA API to retrieve and analyze data on drugs, medical devices, food safety, and adverse events.
Analyzes single-cell omics data using deep generative models for batch correction, integration, and differential expression.
Accesses over 600 scientific tools and databases for bioinformatics, drug discovery, and computational biology research.
Accesses over 40 bioinformatics web services and databases through a unified Python interface for biological data retrieval and analysis.
Searches the arXiv preprint repository for scholarly articles in computer science, physics, mathematics, and quantitative biology.
Infers gene regulatory networks from transcriptomics data using scalable GRNBoost2 and GENIE3 algorithms.
Simplifies complex molecular informatics workflows by providing a Pythonic interface for RDKit with sensible defaults and built-in parallelization.
Simplifies molecular cheminformatics and drug discovery workflows with a Pythonic abstraction layer over RDKit.
Simplifies molecular cheminformatics and drug discovery workflows using a Pythonic interface for RDKit.
Builds discrete-event simulation models in Python to analyze complex systems involving queues, resources, and time-based processes.
Implement high-performance semantic vector search and intelligent document retrieval using AgentDB optimized HNSW indexing and quantization.
Develops, tests, and deploys machine learning models for clinical healthcare data using standardized pipelines and specialized medical architectures.
Integrates managed vector databases into AI applications for production-grade RAG, semantic search, and recommendation systems.
Analyzes high-throughput sequencing data to perform quality control, normalization, and publication-quality visualization for NGS experiments.
Simulates and analyzes genome-scale metabolic models using constraint-based reconstruction and analysis (COBRA) techniques.
Builds process-based discrete-event simulations in Python for modeling complex systems like logistics, manufacturing, and networks.
Executes complex autonomous research tasks across genomics, drug discovery, and clinical analysis using integrated biomedical databases.
Accesses the European Nucleotide Archive (ENA) to retrieve genomic sequences, raw reads, and metadata for bioinformatics pipelines.
Builds, simulates, and executes quantum circuits using Google’s open-source framework for NISQ-era quantum computers.
Analyzes Excel spreadsheets, generates pivot tables, and creates data visualizations using Python libraries like pandas and openpyxl.
Integrates high-performance semantic vector search and HNSW indexing for intelligent document retrieval and RAG systems.
Implements ultra-high-performance semantic vector search and document retrieval for Claude-powered RAG systems and intelligent knowledge bases.
Processes and generates audio, video, images, and complex documents using Google Gemini's advanced multimodal API capabilities.
Integrates Benchling’s R&D platform with Claude to automate life sciences workflows, manage biological registries, and streamline lab data operations.
Automates protein sequence optimization and experimental validation through cloud-based laboratory testing.
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