Total 50,520 skills, Data Processing has 2560 skills
Showing 12 of 2560 skills
Generate a one-page Market Posture summary with net exposure ceiling, growth-vs-value bias, participation breadth, and new-entry-allowed vs cash-priority recommendation by integrating signals from breadth, regime, and flow analysis skills.
Get verified emails and phones for contacts found by people-search. Takes LinkedIn profiles from the Extruct people table and enriches them via contact enrichment providers like Prospeo or Fullenrich. Supports single-provider and waterfall modes. Outputs a contact CSV ready for email-generation. Triggers on: "get emails", "find emails", "enrich contacts", "email finder", "get phone numbers", "enrich people", "contact enrichment", "verify emails", "email enrichment".
Use this skill for XCrawl search tasks, including keyword search request design, location and language controls, result analysis, and follow-up crawl or scrape planning.
SQL query patterns, schema design, and optimization. Joins, CTEs, window functions, indexing, and anti-patterns. Use when writing SQL queries, designing schemas, optimizing database performance, or reviewing database code.
Deep-dive into analyst estimates and revision trends for any stock using Yahoo Finance data. Use when the user wants to understand analyst estimate direction, how EPS or revenue forecasts changed over time, compare estimate distributions, or analyze growth projections across periods. Triggers: "estimate analysis for AAPL", "analyst estimate trends for NVDA", "EPS revisions for TSLA", "how have estimates changed for MSFT", "estimate revisions", "EPS trend", "revenue estimates", "consensus changes", "analyst estimates", "estimate distribution", "growth estimates for", "estimate momentum", "revision trend", "forward estimates", "next quarter estimates", "annual estimates", "estimate spread", "bull vs bear estimates", "estimate range", or any request about tracking or comparing analyst estimates/revisions. Use this skill when the user asks about estimates beyond a simple lookup — if they want context, trends, or analysis, this is the right skill.
Fetch financial data from the Funda AI API (https://api.funda.ai). Covers quotes, historical prices, financials, SEC filings, earnings transcripts, analyst estimates, options flow/greeks/GEX, supply chain graph, social sentiment, prediction markets, congressional trades, economic indicators, ESG, and news. Triggers: stock quotes, fundamentals, balance sheet, income statement, cash flow, analyst targets, DCF, options chain/flow/unusual activity, GEX, IV rank, max pain, earnings/dividend/IPO calendar, SEC filings (10-K/10-Q/8-K), transcripts, supply chain (suppliers/customers/competitors), congressional trading, insider trades, institutional holdings (13F), Reddit/Twitter sentiment, Polymarket, treasury rates, GDP, CPI, FRED data, ESG scores, commodity/forex/crypto prices, stock screener, sector performance, ETF holdings, news, COT reports. Also triggers for "funda" or "funda.ai". If only a ticker is provided and Funda API can answer, use this skill.
Generate clear, accurate performance reports for investment portfolios with benchmarks, attribution, and risk dashboards. Use when the user asks about portfolio performance reports, return summaries, benchmark comparison, risk dashboards, goal progress tracking, or GIPS-compliant reporting. Also trigger when users mention 'quarterly report', 'how did my portfolio do', 'time-weighted vs money-weighted return', 'annualized returns', 'net-of-fee performance', 'rolling Sharpe', or ask how to present investment results to clients.
Estimate potential future losses using VaR, Expected Shortfall, Monte Carlo simulation, and stress testing. Use when the user asks about Value-at-Risk, CVaR, Expected Shortfall, scenario analysis, stress testing, or factor-based risk decomposition. Also trigger when users mention 'how much could I lose', 'worst-case scenario', 'tail risk', 'risk budget', 'component VaR', 'marginal VaR', '99% confidence loss', 'Monte Carlo simulation', or ask how to project portfolio risk forward.
Structured equity research database for 1,735 Taiwan-listed companies with wikilink knowledge graph, supply chain mapping, and financial data tools.
Attach a DuckDB database file for use with /duckdb-skills:query. Explores the schema (tables, columns, row counts) and writes a SQL state file so subsequent queries can restore this session automatically via duckdb -init.
Use when the user needs ML pipelines, statistical analysis, data preprocessing, feature engineering, model selection, experiment tracking, or data visualization. Triggers: dataset exploration, model training, feature engineering, hyperparameter tuning, experiment tracking setup, statistical hypothesis testing, visualization creation.
Explore, interpret, and draw conclusions from football data. Use when the user wants to analyse match events, compare teams or players, understand tactical patterns, build visualisations, or needs guidance on what questions to ask of their data. Adapts to the user's experience level.