Total 50,360 skills, Data Processing has 2556 skills
Showing 12 of 2556 skills
Read data from two tabs in a Google Sheet to compare and identify differences.
Use when asked to convert between KML and GeoJSON formats, or convert geo data for mapping applications.
Run a fully self-contained Xiaohongshu workflow with cookie auth and bundled JS signing assets. Use for note search, note text/image extraction, image download, user/profile data, comments, message center data, homefeed data, creator posted-note data, no-watermark URL conversion, and Excel/media export without depending on the original Spider_XHS repository.
Get real-time market quotes and technical analysis data for A-shares, funds, and Hong Kong stocks
Should be used when doing clickhouse analysis and diagnostics review before any altinity-expert-clickhouse skill to test clickhouse connection and set general rules
Use when the user wants to create a dataset, generate synthetic data, or build a data generation pipeline.
Plans, implements, and reviews migrations from other CMSes and content systems into Sanity. Use when migrating or replatforming to Sanity from AEM, Adobe Experience Manager, Contentful, Strapi, Webflow, WordPress, Payload, Drupal, Markdown/MDX/frontmatter files, WXR/XML exports, CMS APIs, database dumps, static HTML, or when designing extraction, transformation, Portable Text conversion, asset migration, redirects, validation, and cutover workflows.
This skill should be used when the user asks to "create financial projections", "build a financial model", "forecast revenue", "calculate burn rate", "estimate runway", "model cash flow", or requests 3-5 year financial planning for a startup.
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, A/B testing, time series, and business intelligence. Includes experiment design, feature engineering, model evaluation, and stakeholder communication. Use when designing experiments, building predictive models, performing causal analysis, or driving data-driven decisions.
Token-Oriented Object Notation (TOON) format expert for 30-60% token savings on structured data. Auto-applies to arrays with 5+ items, tables, logs, API responses, database results. Supports tabular, inline, and expanded formats with comma/tab/pipe delimiters. Triggers on large JSON, data optimization, token reduction, structured data, arrays, tables, logs, metrics, TOON.
Expert in automating Excel workflows using Node.js (ExcelJS, SheetJS) and Python (pandas, openpyxl).
Comprehensive US stock analysis including fundamental analysis (financial metrics, business quality, valuation), technical analysis (indicators, chart patterns, support/resistance), stock comparisons, and investment report generation. Use when user requests analysis of US stock tickers (e.g., "analyze AAPL", "compare TSLA vs NVDA", "give me a report on Microsoft"), evaluation of financial metrics, technical chart analysis, or investment recommendations for American stocks.