Data & Analytics
Data analysis, BI, visualization, datasets, statistics, and ML workflows
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Showing 12,241–12,264 of 12,850 skills
Converts documents into clean, chunked datasets suitable for embeddings and vector search. Produces chunked JSONL files with metadata, deduplication logic, and quality checks. Use when preparing "training data", "vector datasets", "document processing", or "embedding data".
Alpha and beta diversity analysis for microbiome data. Calculate within-sample richness, evenness, and between-sample dissimilarity with phyloseq and vegan. Use when comparing community composition across samples or testing for group differences in microbiome structure.
把多個股票估值指標統一轉成在過去百年歷史中的分位數,再合成一個總分,判斷目前是否處於歷史極端高估區間,並用歷史類比(如 1929、1965、1999)給出風險解讀。
以鈀金的先行轉向作為確認條件,檢驗白銀短期漲跌是否獲得工業景氣與風險情緒的同步支持,並標記缺乏鈀金參與度的失敗走勢。
透過美國卡斯貨運指數 (CASS Freight Index) 的週期轉折,偵測美國通膨壓力是否進入放緩或反轉階段。用於判斷「通膨是否正在降溫」,並驗證市場對降息、通膨回落的宏觀敘事是否有實體經濟數據支撐。
檢查聯準會持有證券的未攤銷折價(Unamortized Discounts)是否出現與特定歷史危機期間相似的走勢模板,並用多指標交叉驗證是否真的屬於「金融壓力升高」而非單純會計/利率效果。
Transform AI agents into experts on dbt and Snowflake performance optimization, providing guidance on choosing optimal materializations, leveraging Snowflake-specific features, and implementing query optimization patterns for production-grade performance.
Create dbt models following FF Analytics Kimball patterns and 2×2 stat model. This skill should be used when creating staging models, core facts/dimensions, or analytical marts. Guides through model creation with proper grain, tests, External Parquet configuration, and per-model YAML documentation using dbt 1.10+ syntax.
每日分析 Polymarket 预测市场,推送高盈利机会到 DailyNews 群。
Curate and clean training datasets for high-quality machine learning
Data processing expert - ETL, transformation, visualization
Snowflake, BigQuery, Redshift, dimensional modeling, and modern data warehouse architecture
Interactive data exploration and visualization skill. Use when users ask to visualize data, analyze datasets, create charts, or explore data files (CSV, Excel, Parquet, JSON). This skill guides through data exploration, proposes visualization strategies based on data characteristics, creates interactive Plotly charts in marimo notebooks, and generates analytical conclusions.
State-of-the-art data visualization for React/Next.js/TypeScript with Tailwind CSS. Creates compelling, tested, and accessible visualizations following Tufte principles and NYT Graphics standards. Activate on "data viz", "chart", "graph", "visualization", "dashboard", "plot", "Recharts", "Nivo", "D3". NOT for static images, print graphics, or basic HTML tables.
Automated data visualization for EDA, model performance, and business reporting. Activates for "visualize data", "create plots", "EDA", "exploratory analysis", "confusion matrix", "ROC curve", "feature distribution", "correlation heatmap", "plot results", "dashboard". Generates publication-quality visualizations integrated with SpecWeave increments.
Generate data visualizations, plots, and charts. Analyzes data structure to select optimal visualization types. supports bar charts, line graphs, and scatter plots for clarity.
Creating effective data visualizations using charts, graphs, and visual representations to communicate insights clearly and accurately following Tufte and Few principles.
Generate interactive validation reports with quality scoring, missing data analysis, and type checking. Combines Pandas validation, Plotly visualization, and YAML configuration for comprehensive data quality reporting.
Helps with data stuff
For data
This skill should be used when reading any tabular data file (Excel, CSV, Parquet, ODS). It automatically detects and fixes common data issues including multi-level headers, encoding problems, empty rows/columns, and data type mismatches. Returns a clean DataFrame ready for analysis with zero user intervention.
Transforms raw data into compelling visual narratives using Python or R, focusing on clarity, insight, and aesthetic presentation.
Implement validation, profiling, and anomaly detection.
Comprehensive guide to data quality validation, testing frameworks, anomaly detection, and data observability for production data pipelines