data science & ml Claude 스킬을 발견하세요. 61개의 스킬을 탐색하고 AI 워크플로우에 완벽한 기능을 찾아보세요.
Queries and analyzes clinical trial data from the official ClinicalTrials.gov API v2 for research and patient matching.
Simplifies astronomical data processing and astrophysical calculations using the core Python Astropy library.
Accesses and searches the bioRxiv preprint server to retrieve life sciences research metadata and download full-text PDFs.
Accesses the ZINC22 database to search, filter, and retrieve 230M+ purchasable chemical compounds for virtual screening and drug discovery.
Infers gene regulatory networks (GRNs) from transcriptomics data using scalable algorithms like GRNBoost2 and GENIE3.
Infers gene regulatory networks from transcriptomics data using scalable gradient boosting and random forest algorithms.
Calculates and interprets comprehensive financial ratios from balance sheets and income statements to provide actionable investment insights.
Calculates and interprets key financial ratios from corporate statements to streamline investment analysis and performance benchmarking.
Calculates and interprets comprehensive financial ratios from statement data to facilitate deep investment analysis and performance benchmarking.
Infers large-scale gene regulatory networks from transcriptomics data using scalable machine learning algorithms like GRNBoost2 and GENIE3.
Processes and generates audio, video, images, and complex documents using Google Gemini's advanced multimodal API capabilities.
Implement high-performance semantic search and vector storage for intelligent document retrieval and RAG systems.
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 data to provide deep investment and performance insights.
Infers 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.
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.
Automates searching, metadata extraction, and PDF downloads from the bioRxiv preprint server for life sciences research.
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.
Orchestrates over 48 specialized AI agents for autonomous cryptocurrency trading, market analysis, and backtesting across multiple exchanges.
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