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。
Queries and analyzes genomic data from the Ensembl REST API for gene lookups, sequence retrieval, and variant analysis.
Analyzes and interprets time-series forecasting metrics from Nixtla baseline models to optimize model selection and performance.
Performs advanced natural language processing tasks including sentiment analysis, keyword extraction, and topic modeling to derive insights from textual data.
Performs comprehensive next-generation sequencing (NGS) data processing, quality control, and visualization for genomic experiments.
Quantifies the causal impact of external events on contract prices using TimeGPT forecasting and Bayesian structural time-series analysis.
Analyzes Nixtla library usage to optimize forecasting costs through intelligent model routing and ROI assessments.
Catalogues and recommends installed Nixtla forecasting skills for efficient time-series analysis workflows.
Automates the end-to-end scientific research lifecycle from data analysis and hypothesis generation to publication-ready LaTeX manuscripts.
Executes and optimizes machine learning clustering algorithms to discover hidden patterns and segments within complex datasets.
Transforms diverse data sources into Nixtla-compatible formats by automating column inference and Python code generation.
Analyzes multi-asset price correlations to generate data-driven hedging strategies and portfolio risk reports.
Access and query the world's most comprehensive database of somatic mutations and genomic data for cancer research and precision oncology.
Automates the entire scientific research lifecycle from data analysis and hypothesis generation to producing publication-ready LaTeX manuscripts.
Predicts market orderbook depth and bid-ask spreads to optimize trade execution timing using Nixtla TimeGPT and historical market data.
Streamlines the fine-tuning of Nixtla TimeGPT models on custom datasets for high-precision, domain-specific forecasting.
Forecasts market liquidity and orderbook depth using TimeGPT to optimize trade execution timing.
Automates the transformation of forecasting experiments into production-ready inference pipelines using Airflow, Prefect, or cron orchestration.
Analyzes AI models and datasets to identify biases, evaluate fairness metrics, and provide ethical validation reports.
Optimizes LLM prompts to reduce token consumption, lower API costs, and improve response quality through automated prompt engineering.
Searches, retrieves metadata, and downloads preprints from the bioRxiv life sciences repository via Python-based tools.
Implements robust ETL/ELT architectures with advanced orchestration patterns and automated data quality checks.
Builds professional-grade discounted cash flow (DCF) valuation models in Excel with automated financial projections and sensitivity analysis.
Simulates and analyzes quantum mechanical systems using the Quantum Toolbox in Python (QuTiP).
Implements high-performance data processing pipelines using pandas, polars, and PySpark best practices.
Manages annotated data matrices and single-cell genomics datasets using the AnnData framework in Python.
Searches and retrieves life sciences preprints from bioRxiv using advanced filters and automated PDF downloading.
Detects outliers, level shifts, and trend breaks in time series data using TimeGPT's zero-shot capabilities.
Automates the development of genomics applications and manages data workflows on the DNAnexus cloud platform.
Builds and deploys serverless bioinformatics pipelines using the Latch SDK and cloud infrastructure.
Analyzes and interprets Nixtla time-series forecasting benchmarks to provide data-driven model recommendations and metric insights.
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