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Found 94 Skills
Guide for Using RQData Data API. Used when you need to query RQData data interfaces and obtain financial data. Supports data queries for markets such as A-shares, Hong Kong stocks, futures, options, indices, funds, and convertible bonds, including HTTP API and Python API documentation.
Decompose Return on Equity into component ratios to identify performance drivers. Use for financial analysis, performance benchmarking, and identifying improvement opportunities.
This Skill is built based on Eastmoney's authoritative database and the latest underlying market data, supporting natural language queries for market data (real-time quotes, main capital flows, valuations, etc. of stocks, industries, sectors, indices, funds, bonds), financial data (basic information of listed companies, financial indicators, executive information, main business, etc.), and relationship and operation data (associated relationships, enterprise operation data). It prevents models from answering financial data questions based on outdated knowledge and provides authoritative and timely financial data.
This skill is based on the search capability of Eastmoney Miaoxiang, with intelligent source screening tailored for financial scenarios. It is used to obtain time-sensitive information or event-specific information, including news, announcements, research reports, policies, trading rules, specific events, various impact analyses, and non-common-sense information that requires external data retrieval. It prevents AI from referencing non-authoritative and outdated information when searching for financial scenario information.
Generate a post-earnings analysis for any stock using Yahoo Finance data. Use when the user wants to review what happened after earnings, understand beat/miss results, see stock reaction, or get an earnings recap. Triggers: "AAPL earnings recap", "how did TSLA earnings go", "MSFT earnings results", "did NVDA beat earnings", "post-earnings analysis", "earnings surprise", "what happened with GOOGL earnings", "earnings reaction", "stock moved after earnings", "EPS beat or miss", "revenue beat or miss", "quarterly results for", "how were earnings", "AMZN reported last night", "earnings call recap", or any request about a company's recent earnings outcome. Use this skill when the user references a past earnings event, even if they just say "AAPL reported" or "how did they do".
Build and execute commands to obtain Japanese stock market data with J-Quants CLI (jquants). It supports acquisition of stock prices, OHLCV candlesticks, minute bars, tick data, margin trading balances, short selling ratios, futures, options, financial statements, dividends, TOPIX and index data. It also supports checking API availability and obtainable data periods (Free/Light/Standard/Premium) for each plan. Triggers: jquants, J-Quants, stock price, stock price data, ticker, OHLCV, minute bar, JPX, TSE, TOPIX, Nikkei 225, futures, options, derivatives, short selling, margin trading, dividend, financial statements, financial results, PER, PBR, ROE, index, bulk download, Japanese stock, market data, subscription, plan, data range, API availability, update time, data update, update timing, outdated data, latest data, data freshness, update schedule
Summarize and analyze earnings calls (法說會) including financial highlights, management commentary, guidance, and analyst Q&A key takeaways. Use this skill when the user needs to digest an earnings call transcript, extract key financial data and forward guidance, compare actual results vs consensus estimates, or prepare for an investor meeting — even if they say 'summarize this earnings call', 'what did management say about next quarter', 'did they beat estimates', or 'key takeaways from the 法說會'.
Skill Index and Orchestration Center — Automatically routes to the correct skill combination and orchestrates execution order based on user intent. Triggered when users ask questions involving stock quotes, cryptocurrencies, technical indicators, financial news, research report generation, or any scenario that requires skill invocation. Also triggered when users ask "Where does the data come from?", "What can you do?", or "What features do you have?"
Dext integration. Manage Organizations, Users, Goals, Filters. Use when the user wants to interact with Dext data.
Access Wind financial data. Covers A-shares / Hong Kong stocks market data (latest price / K-line / minute-level) and financial fundamentals (financial reports / share capital / events / technical indicators / risks), ETF / public funds market data and full-dimensional data (profile / finance / holdings / performance / holders / management companies), listed company announcements and financial news, macroeconomic and industry indicators. Requires WIND_API_KEY (obtained from the Developer Center at aimarket.wind.com.cn/#/user/overview). **Excludes**: US stocks / European stocks / Japanese stocks, exchange rates / futures quotes, cryptocurrencies, non-financial data.
Analyze business segment performance and reporting from SEC filings using Octagon MCP. Use when researching segment revenue, operating income, margins, geographic breakdown, and segment restructuring from 10-K and 10-Q filings.
Extract and analyze data from invoices, receipts, bank statements, and financial documents. Categorize expenses, track recurring charges, and generate expense reports. Use when user provides financial PDFs or images.