data science & ml Claude 스킬을 발견하세요. 61개의 스킬을 탐색하고 AI 워크플로우에 완벽한 기능을 찾아보세요.
Simplifies molecular biology tasks using the Biopython library for sequence analysis, structural bioinformatics, and database integration.
Migrates legacy PyTorch AT_DISPATCH macros to the modern Dispatch_v2 format in ATen C++ codebases.
Provides specialized tools for biological computation, sequence analysis, and programmatic access to NCBI databases using Biopython.
Simplifies astronomical data processing and astrophysical calculations using the core Python Astropy library.
Automates the migration of legacy PyTorch AT_DISPATCH macros to the modern AT_DISPATCH_V2 API.
Streamlines computational molecular biology tasks including sequence analysis, NCBI database integration, and structural protein modeling.
Access over 40 bioinformatics web services and databases including UniProt, KEGG, and ChEMBL through a unified Python interface.
Develops, deploys, and manages genomics pipelines and biomedical data on the DNAnexus cloud platform.
Integrates Benchling’s R&D platform with Claude to automate life sciences workflows, manage biological registries, and streamline lab data operations.
Streamlines astronomical data analysis and astrophysical calculations using the core Astropy Python library.
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.
Facilitates advanced astronomical research and data processing through Python-based coordinate transforms, FITS manipulation, and cosmological modeling.
Automates life sciences R&D workflows by integrating Benchling's registry, inventory, and electronic lab notebook via API and Python SDK.
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.
Calculates and interprets key financial ratios from corporate data to provide deep investment and performance insights.
Orchestrates over 48 specialized AI agents for autonomous cryptocurrency trading, market analysis, and backtesting across multiple exchanges.
Infers gene regulatory networks (GRNs) from transcriptomics data using scalable algorithms like GRNBoost2 and GENIE3.
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.
Provides programmatic access and comprehensive analysis of the DrugBank database for pharmaceutical research and bioinformatics workflows.
Provides specialized algorithms and workflows for advanced time series tasks including forecasting, classification, and anomaly detection.
Infers gene regulatory networks from transcriptomics data using scalable gradient boosting and random forest algorithms.
Queries the ClinicalTrials.gov API to search for medical studies, retrieve trial details, and export structured clinical research data.
Accesses and analyzes comprehensive pharmaceutical data from DrugBank, including drug properties, interactions, targets, and chemical structures.
Generates publication-quality scientific visualizations and data plots locally using Python's Matplotlib and Seaborn libraries.
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