Discover Agent Skills for data science & ml. Browse 61 skills for Claude, ChatGPT & Codex.
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.
Searches the arXiv preprint repository for scholarly articles across various scientific and technical domains.
Searches the arXiv repository to retrieve and summarize the latest scholarly articles in STEM fields.
Analyzes Excel spreadsheets, generates pivot tables, and creates data visualizations using Python libraries like pandas and openpyxl.
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 gradient boosting and random forest algorithms.
Automates complex biomedical research tasks including genomics, drug discovery, and clinical analysis through autonomous reasoning and code execution.
Processes and generates audio, video, images, and complex documents using Google Gemini's advanced multimodal API capabilities.
Implement high-performance semantic vector search and intelligent document retrieval using AgentDB optimized HNSW indexing and quantization.
Calculates and interprets key financial ratios from corporate statements to streamline investment analysis and performance benchmarking.
Integrates Benchling’s R&D platform with Claude to automate life sciences workflows, manage biological registries, and streamline lab data operations.
Calculates and interprets key financial ratios from company statements to facilitate investment analysis and performance benchmarking.
Implements high-performance persistent memory and context management for AI agents using AgentDB.
Automates protein sequence optimization and experimental validation through cloud-based laboratory testing.
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.
Queries and interprets NCBI ClinVar data to evaluate human genetic variant pathogenicity and clinical significance for genomic medicine.
Standardizes and automates molecular featurization to convert chemical structures into machine-learning-ready numerical representations.
Calculates and interprets key financial ratios from corporate data to provide deep investment and performance insights.
Develops, deploys, and manages genomics pipelines and biomedical data on the DNAnexus cloud platform.
Infers gene regulatory networks (GRNs) from transcriptomics data using scalable algorithms like GRNBoost2 and GENIE3.
Generates sophisticated financial models including DCF analysis, Monte Carlo simulations, and sensitivity testing for investment decision-making.
Manages AI model configurations, pricing, and capabilities within backend registries for LLM-powered applications.
Queries the ClinicalTrials.gov API v2 to search for trials, analyze research trends, and extract detailed study data.
Orchestrates a fleet of over 48 specialized AI agents to automate cryptocurrency trading, market analysis, and backtesting across multiple exchanges.
Queries the ClinicalTrials.gov API v2 to search, filter, and extract global clinical study data for medical research and patient matching.
Orchestrates over 48 specialized AI agents for autonomous cryptocurrency trading, market analysis, and backtesting across multiple exchanges.
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