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Found 194 Skills
This skill should be used when the user wants to integrate Plaid API for bank account connections and transaction syncing. Use when implementing financial data access, bank linking, or transaction imports in TypeScript/Bun applications.
Detect CF-3 temporary or unsustainable operating cash flow boosters. Use when working capital swings, accelerated collections, or one-time cash items drive CFFO.
🔍 Find API | 寻找可靠数据源 TRIGGERS: Use when agent needs to fetch external data, user mentions "reliable data source", "数据源", "API", or when web scraping is inefficient/inaccurate. A comprehensive guide to reliable data APIs across all domains. Helps agents find the best APIs instead of inefficient web scraping. Currently covers: Stock/Financial data, Weather, News, Maps, and more domains coming soon. 触发条件：Agent 需要获取外部数据、用户提到"可靠数据源"、"数据源"、"API"，或网页爬取效率低/不准确时。 跨领域可靠数据 API 的综合指南。 帮助 Agent 找到最佳 API，避免低效的网页爬取。 目前覆盖：股票/金融数据、天气、新闻、地图，更多领域持续完善中。
Analyze stock correlations to find related companies and trading pairs. Use this skill whenever the user asks about correlated stocks, related companies, sector peers, trading pairs, or how two or more stocks move together. Triggers include: "what correlates with NVDA", "find stocks related to AMD", "correlation between AAPL and MSFT", "what moves with", "sector peers", "pair trading", "correlated stocks", "when NVDA drops what else drops", "find me a pair for", "stocks that move together", "beta to", "relative performance", "which stocks follow AMD", "supply chain partners", "correlation matrix", "co-movement", "related tickers", "sympathy plays", "if GOOGL moves what else moves", "semiconductor peers", "compare correlation", "hedging pair", "sector clustering", "realized correlation", "rolling correlation", or any request about finding stocks that move in tandem or inversely. Also triggers when the user mentions well-known pairs like AMD/NVDA, GOOGL/AVGO, LITE/COHR and wants to understand or find similar relationships. Always use this skill even if the user only provides one ticker — infer that they want to find correlated peers.
This Skill supports screening qualified stocks based on stock selection criteria (such as market indicators, financial indicators, etc.); it allows querying stocks, listed companies within specified industries/sectors, as well as component stocks of sector indices; it also supports related tasks such as stock, listed company, and sector/index recommendations, avoiding the use of outdated information by large models during stock selection.
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".
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.
Insightsoftware integration. Manage data, records, and automate workflows. Use when the user wants to interact with Insightsoftware data.
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'.
Finerio Connect integration. Manage data, records, and automate workflows. Use when the user wants to interact with Finerio Connect data.
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?"