Create agents for financial analysis, investment research, and portfolio management. Covers financial data processing, risk analysis, and recommendation generation. Use when building investment...
World-class alternative data and sentiment analysis for trading - social media, news, on-chain data, positioning. Extract alpha from information others miss. Use when "sentiment, alternative data,...
Python library for working with geospatial vector data including shapefiles, GeoJSON, and GeoPackage files. Use when working with geographic data for spatial analysis, geometric operations,...
问卷调查报告数据分析技能,支持自动选择分析模型、生成数据分析报告、评估旧方案并给出改进意见,最终生成HTML报告并在浏览器中打开
Advanced data analysis, pattern detection, and insight generation from structured and unstructured datasets
Data analysis best practices with pandas, numpy, matplotlib, seaborn, and Jupyter notebooks.
Expert in statistical analysis, predictive modeling, machine learning, and data storytelling to drive business insights.
This skill helps troubleshoot issues with codebase analysis - failed analyses, incorrect results, performance problems, and Gemini API errors. Use when analysis isn't working as expected.
Data pipeline specialist for ETL design, data quality, CDC patterns, and batch/stream processingUse when "data pipeline, etl, cdc, data quality, batch processing, stream processing, data...
World-class data science skill for statistical modeling, experimentation, causal inference, and advanced analytics. Expertise in Python (NumPy, Pandas, Scikit-learn), R, SQL, statistical methods,...
World-class data science skill for statistical modeling, experimentation, causal inference, and advanced analytics. Expertise in Python (NumPy, Pandas, Scikit-learn), R, SQL, statistical methods,...
Use when implementing data governance frameworks, building data catalogs, establishing data lineage, defining data quality rules, or setting up data stewardship programs - covers metadata...
Build robust processes for data cleaning, missing value imputation, outlier handling, and data transformation for data preprocessing, data quality, and data pipeline automation
Analyzes software bugs including root cause identification, severity assessment, impact analysis, reproduction steps validation, and fix recommendations. Performs bug triage, categorization,...
Patterns for generating synthetic data for ML training, testing, and privacy. Covers LLM-based generation, tabular synthesis, and quality validation. Use when "synthetic data, generate training...
Complete DataForSEO API integration for SEO data and analysis. Use when the user asks for keyword research, search volume, SERP analysis, backlink audits, competitor analysis, rank tracking,...
Data structure for annotated matrices in single-cell analysis. Use when working with .h5ad files or integrating with the scverse ecosystem. This is the data format skill—for analysis workflows use...
This skill should be used when working with genomic interval data (BED files) for machine learning tasks. Use for training region embeddings (Region2Vec, BEDspace), single-cell ATAC-seq analysis...
Build scalable data pipelines, modern data warehouses, and
Build scalable data pipelines, modern data warehouses, and