Total 50,510 skills, Data Processing has 2560 skills
Showing 12 of 2560 skills
Earnings estimate revision analysis for listed companies via Longbridge — tracks analyst consensus revision direction (upgrade / downgrade), earnings surprise (SUE = standardised unexpected earnings), PEAD post-earnings drift signals (consecutive beats + upward revisions = positive momentum), and management guidance revision impact. Builds on raw data from longbridge-consensus. Triggers: "预期修正", "盈利修正", "分析师上调", "分析师下调", "超预期", "低于预期", "PEAD", "财报后漂移", "业绩意外", "管理层指引", "預期修正", "盈利修正", "分析師上調", "分析師下調", "超預期", "低於預期", "財報後漂移", "業績意外", "管理層指引", "earnings revision", "estimate revision", "analyst upgrade", "analyst downgrade", "beat miss surprise", "SUE", "PEAD post-earnings drift", "guidance revision", "estimate cut raise".
Systematic 100-point financial health scorecard for listed companies via Longbridge — five dimensions: profitability (ROE / net margin / gross margin), growth (revenue & net income YoY), financial health (debt ratio / current ratio / interest coverage), cash quality (operating CF / net income), operating efficiency (inventory & AR turnover days). Outputs a report card. Triggers: "财报体检", "财务体检", "财务评分", "财务健康", "盈利能力", "偿债能力", "运营效率", "现金质量", "财务综合评分", "上市公司体检", "財報體檢", "財務體檢", "財務評分", "財務健康", "盈利能力", "償債能力", "運營效率", "現金質量", "financial health check", "financial score", "profitability analysis", "solvency analysis", "operating efficiency", "cash quality", "company financial checkup".
Market microstructure analysis via Longbridge Securities — bid-ask spread, order-flow toxicity (large-order pressure), liquidity depth, price impact, and institutional order direction. Covers A-share call-auction analysis and HK block-trade mechanics. Triggers: "盘口分析", "微观结构", "订单流", "大单分析", "买卖价差", "逐笔分析", "买卖盘深度", "挂单墙", "主力动向", "集合竞价", "盤口分析", "微觀結構", "訂單流", "大單分析", "買賣價差", "逐筆分析", "買賣盤深度", "掛單牆", "主力動向", "market microstructure", "order flow", "bid-ask spread", "depth analysis", "large order", "order book imbalance", "price impact", "auction analysis", "institutional order flow".
C-optimized technical analysis with 150+ functions and 61 candlestick pattern recognition functions via TA-Lib
Translate SQL queries into plain language business logic. Use when documenting queries, explaining analysis to non-technical stakeholders, code reviewing for correctness, or building a query catalog.
Retrieve full historical end-of-day price data for market indices using Octagon MCP. Use when analyzing index performance over time, tracking market trends, calculating returns, and understanding market context for individual stock analysis.
Small-cap growth stock discovery — identifies overlooked small/mid-cap high-growth companies (A-share 专精特新, HK growth stocks, US small-cap growth) by screening for market cap < 5–10B, revenue growth > 30%, ROE > 15%, and low institutional ownership. Triggers: "小盘成长", "小市值", "成长股", "中小盘", "专精特新", "隐形冠军", "小盘股", "成长潜力", "小盤成長", "小市值", "成長股", "中小盤", "專精特新", "隱形冠軍", "small cap growth", "small cap stocks", "growth stocks", "mid-small cap", "hidden champions", "high growth companies", "small cap discovery", "emerging growth", "小市值成长股", "中小市值".
通过Eureka专利数据平台获取专利说明书（描述）数据。当用户提到专利说明书、专利全文、专利技术描述、专利实施方式详情、Eureka说明书数据、patent specification, patent full text, technical description, embodiment details, Eureka, patent detailed description, patent description data时触发此技能。即使用户未明确说"Eureka"，只要其需要查看一项或多项专利的完整说明书/描述内容，也应触发此技能。
MPSTATS Ozon 俄罗斯站按卖家 ID 下钻商品列表。返回该卖家下全部 SKU 的销量、销售额、价格、评分、库存、周转、损失销售额等完整指标，支持多维数值筛选、排序、货币换算。用于店铺结构分析、卖家爆款拆解、竞争对手店铺对标。当用户提到 Ozon 卖家商品、Ozon 店铺分析、Ozon 卖家下钻、Ozon 卖家 SKU、Ozon 店铺爆款、Ozon 竞争店铺、MPSTATS seller, Ozon seller drill-down, Ozon shop audit, Russian marketplace seller SKUs, Ozon store structure 时触发此技能。即使用户未明确说"MPSTATS"，只要意图是按 Ozon 卖家 ID 看该店铺下全部商品的销售表现，也应触发此技能。
Read-only: cross-references inventory levels with order velocity to flag items with positive stock but zero sales in N days.
Design and analyze A/B tests with proper statistical methodology including sample size calculation, randomization, frequentist and Bayesian approaches, and sequential testing. Use this skill when the user needs to set up an experiment, calculate required sample size, interpret test results, or decide between testing methodologies — even if they say 'should we A/B test this', 'how many users do we need', 'is the test result conclusive', or 'can we stop the test early'.
Apply DuPont Analysis to decompose Return on Equity (ROE) into profitability, efficiency, and leverage components. Use this skill when the user needs to diagnose why ROE is high or low, compare financial performance drivers across companies, or identify which operational lever to pull — even if they say 'why is our ROE declining' or 'how do we improve returns'.