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。
Automates high-throughput sequencing data analysis, from BAM file processing and quality control to publication-ready visualizations like heatmaps and profile plots.
Simplifies astronomical data processing and astrophysical calculations using the core Python Astropy library.
Streamlines computational molecular biology tasks including sequence analysis, NCBI database integration, and structural protein modeling.
Accesses the ZINC22 database to search, filter, and retrieve 230M+ purchasable chemical compounds for virtual screening and drug discovery.
Calculates and interprets key financial ratios from corporate data to provide deep investment and performance insights.
Calculates and interprets comprehensive financial ratios from balance sheets and income statements to provide actionable investment insights.
Calculates and interprets comprehensive financial ratios from statement data to facilitate deep investment analysis and performance benchmarking.
Infers gene regulatory networks (GRNs) from transcriptomics data using scalable algorithms like GRNBoost2 and GENIE3.
Calculates and interprets key financial ratios from corporate statements to streamline investment analysis and performance benchmarking.
Infers gene regulatory networks from transcriptomics data using scalable gradient boosting and random forest algorithms.
Implement high-performance semantic vector search and intelligent document retrieval using AgentDB optimized HNSW indexing and quantization.
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.
Implements high-performance persistent memory and context management for AI agents using AgentDB.
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.
Implement high-performance semantic search and vector storage for intelligent document retrieval and RAG systems.
Infers gene regulatory networks from transcriptomics data using scalable machine learning algorithms like GRNBoost2 and GENIE3.
Automates protein sequence optimization and experimental validation through cloud-based laboratory testing.
Integrates Benchling’s R&D platform with Claude to automate life sciences workflows, manage biological registries, and streamline lab data operations.
Queries and interprets NCBI ClinVar data to evaluate human genetic variant pathogenicity and clinical significance for genomic medicine.
Accesses and searches the bioRxiv preprint server to retrieve life sciences research metadata and download full-text PDFs.
Performs advanced biological computation, sequence analysis, and programmatic access to NCBI databases using Python.
Standardizes and automates molecular featurization to convert chemical structures into machine-learning-ready numerical representations.
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.
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.
Scroll for more results...