data science & ml向けのClaudeスキルを発見してください。61個のスキルを閲覧し、AIワークフローに最適な機能を見つけましょう。
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.
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.
Searches the arXiv repository to retrieve and summarize the latest scholarly articles in STEM fields.
Facilitates advanced astronomical research and data processing through Python-based coordinate transforms, FITS manipulation, and cosmological modeling.
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.
Infers large-scale gene regulatory networks from transcriptomics data using scalable machine learning algorithms like GRNBoost2 and GENIE3.
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.
Integrates high-performance semantic vector search and HNSW indexing for intelligent document retrieval and RAG systems.
Automates protein sequence optimization and experimental validation through cloud-based laboratory testing.
Implements high-performance persistent memory and context management for AI agents using AgentDB.
Implements ultra-high-performance semantic vector search and document retrieval for Claude-powered RAG systems and intelligent knowledge bases.
Implement high-performance semantic search and vector storage for intelligent document retrieval and RAG systems.
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.
Infers gene regulatory networks (GRNs) from transcriptomics data using scalable algorithms like GRNBoost2 and GENIE3.
Develops, deploys, and manages genomics pipelines and biomedical data on the DNAnexus cloud platform.
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.
Infers gene regulatory networks from transcriptomics data using scalable machine learning algorithms like GRNBoost2 and GENIE3.
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.
Queries the ClinicalTrials.gov API v2 to search, retrieve, and analyze clinical trial data for research and patient matching.
Queries and analyzes over 240 million scholarly works, authors, and institutions via the OpenAlex API.
Performs comprehensive single-cell RNA-seq analysis including quality control, clustering, and cell type annotation using the Scanpy framework.
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