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加权评分决策矩阵框架，用于技术选型、供应商选择、方案对比等多准则决策场景。引导用户系统化地明确评估维度、分配权重、逐项评分，并通过敏感性分析验证结论的稳健性。当用户提到决策矩阵、加权评分、技术选型、方案对比、供应商评估、build vs buy、多维度打分、权重分配、评分表、选型对比，或询问“选哪个方案好”、“帮我比较几个选项”时触发。

Analyzes OHLCV data to compute 15+ technical indicators (including MA, MACD, RSI, Bollinger Bands, KDJ) and generates a bullish/bearish signal summary with an overall assessment. Triggered when users request technical analysis, ask to calculate indicators like MACD or RSI, mention candlestick analysis, or discuss signals from moving average crossovers, Bollinger Band breakouts, or RSI overbought/oversold levels.

Generate professional primary market / venture capital industry research reports, including sector deep-dives, investment memos, and market analysis. Produces detailed PDF reports covering TMT, consumer, healthcare, and industrials. Triggered by requests to analyze an industry, create a market report, write a sector deep-dive, or generate any PE/VC-style research document in Chinese or English.

SaaS financial health advisor. Use when a user shares revenue or customer numbers, or mentions ARR, MRR, churn, LTV, CAC, NRR, or asks how their SaaS business is doing.

Builds weighted scoring decision matrices for technology selection, vendor evaluation, and multi-criteria option comparisons. Guides you through defining criteria, assigning weights, scoring options, and validating results with sensitivity analysis. Trigger when users ask about decision matrices, weighted scoring, comparing options, vendor selection, or build vs. buy choices.

巴菲特/格雷厄姆风格的价值投资评估技能，从护城河、管理层、财务、估值四大维度共20个细项对目标公司进行系统性评分（满分100分），并给出综合评级与投资建议。当用户需要进行价值投资分析、基本面打分、护城河或管理层评估、财务健康度检查、估值判断、安全边际计算，或使用诸如“分析一下XX的基本面”、“用巴菲特的方法评估一下这家公司值不值得投”等表述时触发。

将「投资交易策略描述」（含事件驱动、选股、组合）转成可运行的「回测代码」，输出回测结果、可视化图表和分析报告。当用户描述买卖条件、事件后收益、股票池筛选回测等量化场景时触发。

股票基本面分析工具：基于用户提供的三张财务报表（资产负债表、利润表、现金流量表），计算超过 20 项核心财务指标（涵盖盈利能力、偿债能力、流动性、营运效率、每股指标、现金流和成长能力）并进行详细的杜邦分析。当用户提及财报分析、基本面分析、财务指标计算、杜邦分解、ROE 分析，或使用类似“帮我分析一下这家公司的财报”、“计算一下财务比率”等表述时触发。

A/B测试分析工具：对A/B测试数据进行全面统计分析，包括计算转化率差异、进行显著性检验（Z检验/卡方检验）、构建置信区间、评估统计功效以及估算最小样本量，输出JSON结果和中文建议报告。当用户提供A/B测试的访客和转化数据，或询问如何分析、解读、设计A/B测试，以及使用诸如“A/B测试结果”、“显著性”、“转化率提升”、“统计功效”、“样本量估算”等关键词时触发。

SaaS业务财务分析助手：接收MRR、客户数、获客成本等原始数据，计算ARR、流失率、LTV、CAC、NRR等关键指标，对标行业基准，并生成结构化的健康报告与优先行动建议。当用户提供收入或客户数据，或询问涉及ARR、MRR、流失率、LTV、CAC、NRR等指标的业务健康状况时触发。

通过 Tushare Pro 获取中国金融市场数据，覆盖 A 股、港股、美股、基金、期货、债券等 220+ 个数据接口，可查询股票行情、财务报表、指数成分、GDP/CPI 等宏观经济指标。当用户请求金融数据查询、股票历史行情、财务指标分析、宏观数据获取，或提及 Tushare、数据接口、量化数据源等关键词时触发。

生成国泰海通/海通国际风格的证券研究报告。适用于个股研究、行业跟踪、投资简报等金融文档。触发词：国泰海通、海通国际、行业跟踪、股票研究、证券研究。支持国内与国际双模板。

用户挽留与流失防控助手，帮助设计取消流程、制定挽留方案、搭建催款邮件体系并优化支付失败恢复逻辑，以降低用户流失。当用户提及取消流程优化、挽留策略、降低流失率、催款、支付恢复、退出调查、用户召回或解决支付失败等需求时触发。

Buffett/Graham value investing scorecard — evaluates a company across 20 criteria in four dimensions (moat, management, financials, valuation) for a 0-100 score. Triggered when users request a value-investing analysis, fundamental scoring, moat assessment, or ask 'is this company worth investing in', 'analyze the fundamentals of XX', or 'evaluate this using Buffett's method'.

OHLCV 技术指标分析工具，可从股票OHLCV数据计算15+种常见技术指标（包括MA、MACD、RSI、布林带、KDJ、ATR等），并生成多空信号汇总与综合研判报告。当用户提出技术分析、指标计算、K线分析等请求，或使用具体词汇如“MACD金叉”、“RSI超买”、“均线交叉”、“量价分析”，或直接询问“帮我算一下技术指标”、“分析这段K线的多空信号”时触发。

Analyze companies and generate investment research for Chinese A-shares, HK stocks, and US stocks. Two output modes:(1) Tear Sheet — concise 3-5 page PDF. (2) Equity Report — in-depth ≥25 page PDF with financial model. Triggered by ANY company analysis request including:'analyze [company]', 'look into [stock]', 'what do you think of [company]', 'tell me about [stock]', 'research [company]', or explicit keywords:'tear sheet', 'one pager', 'deep dive', 'equity report', or any stock code (e.g., 600519.SH, 0700.HK, AAPL). When intent is ambiguous, ask the user whether they want a report or just a quick conversational answer.

Run regression analysis (OLS or logistic) on uploaded CSV/Excel data, generating coefficients, R², p-values, VIF, and plain-language interpretation. Triggered by requests for regression modeling, fitting data, testing significance, checking multicollinearity, or keywords like OLS, logit, coefficient, p-value, or R-squared.

对 CSV/Excel 数据执行线性回归（OLS）或逻辑回归（Logistic），一键输出完整统计结果（包含回归系数、R²、p值、VIF等）和中文通俗解读。当用户提及回归分析、拟合模型、查看系数显著性、R方、p值、共线性（VIF），或使用关键词如 回归、regression、OLS、logit、拟合、显著性 时触发。

Convert trading strategy descriptions (including event-driven studies, stock selection, and portfolio) into runnable backtest code, and output backtest results, visual dashboards, and analytical writeups. Trigger this skill when the user describes buy/sell conditions, post-event return questions, or stock-universe screening backtests.

Event-driven concept ETF research: start from a concept or event, identify related stocks, build a market-cap-weighted ETF index, analyze market-cap changes around the event window, and produce an interactive HTML dashboard. Use when the user asks about concept stocks, concept ETFs, event-driven analysis, or event studies. Triggers on: mentions of hot topics, policies, or events impacting China A-share concept sectors; requests to build thematic ETFs or concept indices; analysis of stock performance before and after specific events.