Total 50,503 skills, Data Processing has 2560 skills
Showing 12 of 2560 skills
Assemble multi-panel scientific figures with panel labels (A, B, C) at publication quality (300 DPI) using R. Use when combining individual plots into journal-ready figures.
Model free cash flow to evaluate project or business value. Use for investment decisions, valuation, and understanding cash dynamics.
A Tushare data research skill for Chinese natural language. It converts requests like "How has this stock been performing lately?", "Help me check the financial report trend", "Which sector is the strongest recently?", "What are northbound funds buying?", "Export a market data report for me" into executable workflows for data acquisition, cleaning, comparison, filtering, export, and brief analysis. It applies to research scenarios such as A-shares, indices, ETFs/funds, finance, valuation, capital flows, announcements & news, sector concepts, and macroeconomic data.
High-level entry skill for Domo data access. Routes detailed query work to cap-apps-dataset-query.
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.
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.
Analyze historical downtrend durations and generate interactive HTML histograms showing typical correction lengths by sector and market cap.
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 a pre-earnings briefing for any stock using Yahoo Finance data. Use this skill whenever the user wants to prepare for an upcoming earnings report, understand what analysts expect, review a company's beat/miss track record, or get a quick overview before an earnings call. Triggers include: "earnings preview for AAPL", "what to expect from TSLA earnings", "MSFT reports next week", "earnings preview", "pre-earnings analysis", "what are analysts expecting for NVDA", "earnings estimates for", "will GOOGL beat earnings", "earnings beat/miss history", "upcoming earnings", "before earnings", "earnings setup", "consensus estimates", "earnings whisper", "EPS expectations", "what's the street expecting", "earnings season preview", any mention of preparing for or previewing an earnings report, or any request to understand expectations ahead of a company's earnings date. Always use this skill when the user mentions a ticker in context of upcoming earnings, even if they don't say "preview" explicitly.
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.