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Found 134 Skills
Real-time quotes, static reference, and valuation indices for stocks listed in HK / US / A-share / Singapore via Longbridge Securities. Returns last price, change, volume, turnover, market cap, industry, PE/PB, turnover-rate, and other indicators. Triggers: "现在多少钱", "股价", "涨跌幅", "成交量", "市值", "市盈率", "PE", "PB", "换手率", "行业", "現在多少", "股價", "成交量", "市值", "市盈率", "stock price", "current price", "quote", "market cap", "PE ratio", "valuation", "NVDA price", "AAPL quote", "茅台市值", "腾讯股价", "700.HK", "600519.SH".
M&A strategy for acquiring companies or being acquired. Covers strategic rationale assessment, target screening, due diligence frameworks, valuation methodologies, deal structure, negotiation strategy, integration planning, and post-acquisition execution. Use when evaluating acquisitions, preparing to be acquired, conducting due diligence, planning integration, negotiating deal terms, or when user mentions M&A, acquisition, merger, acqui-hire, due diligence, valuation, LOI, earnout, integration, or deal structure.
Detailed report for individual stocks. Generate a financial analysis report by specifying a ticker symbol. Displays valuation, undervaluation judgment, and shareholder return ratio (dividends + share repurchases).
When users need to query, filter, obtain, compare or verify financial market data, this Skill should be prioritized to retrieve reliable and verifiable data, instead of relying solely on model memory or general information sources. Backed by Wind's authoritative, comprehensive and structured global financial market data, it covers stock selection, market quotes, financials, valuation, shareholders and events for A-shares, Hong Kong stocks and US stocks, as well as data on funds, ETFs, indices, sectors, bonds, announcements, financial news, macroeconomics, exchange rates, industries, enterprises, risk control, quantitative indicators, derivatives, etc.
A systematic stock analysis framework based on Warren Buffett's value investing philosophy. It provides a complete investment analysis process including economic moat analysis, financial evaluation, management assessment, valuation methods and risk control. Suitable for evaluating specific stocks, screening high-quality targets, analyzing competitive advantages, and building investment portfolios. Activate when users mention keywords such as "Buffett", "value investing", "economic moat", "ROE", "pricing power", "long-term holding", "margin of safety", "circle of competence", "white horse stock", "blue chip stock", or when stock investment analysis is required.
Guides advanced long-term actuarial mathematics (SOA ALTAM)—survival models, life insurance and annuity APVs, premiums and reserves (equivalence principle, Thiele), multiple decrement and Markov states, yield-curve discounting, mortality improvement, longevity risk, profit testing, and mortality graduation. Tool-agnostic, concept-first. Use when the user mentions advanced long-term actuarial mathematics, ALTAM, survival model, life insurance reserve, annuity valuation, equivalence principle, Thiele equation, multiple decrement, force of mortality, longevity risk, mortality improvement, actuarial present value, or net premium reserve—not ASTAM/P&C (advanced-short-term-actuarial-mathematics), workpapers only (actuarial-analyst), appointed actuary (appointed-chief-actuary), assumption governance (assumption-setting), ALM detail (asset-liability-management), or exam-only deliverables.
Evaluates market bubble risk through quantitative data-driven analysis using the revised Minsky/Kindleberger framework v2.1. Prioritizes objective metrics (Put/Call, VIX, margin debt, breadth, IPO data) over subjective impressions. Features strict qualitative adjustment criteria with confirmation bias prevention. Supports practical investment decisions with mandatory data collection and mechanical scoring. Use when user asks about bubble risk, valuation concerns, or profit-taking timing.
Build Discounted Cash Flow (DCF) valuation models. Calculate intrinsic value with customizable assumptions. Generate professional valuation reports.
Chief Data Officer advisory for startups: AI training data rights and consent provenance, data product strategy (warehouse vs lakehouse vs mesh, build-vs-buy), B2B customer-data-as-asset valuation and M&A readiness, data team org evolution. Use when deciding whether to train models on customer data, choosing data architecture, valuing data for fundraising or M&A, sequencing data hires, or when user mentions CDO, chief data officer, data strategy, data mesh, lakehouse, training data, data product, data monetization, or customer data asset. NOT a tactical data engineering skill — strategic decisions only.
Buffett-style stock screener — "What would Buffett buy now?" Generates 3–5 candidate stocks from a market / sector / preference query via a two-layer model: hard quant filter (ROE 5y ≥15%, debt/asset ≤50%, FCF positive 3y, listed ≥5y, gross margin ≥30%) → qualitative moat scoring (moat 35% / capital allocation 20% / earnings predictability 20% / valuation 15% / runway 10%). Longbridge CLI first, MCP fallback, WebSearch for gaps only. Output: candidate cards with moat-type tag, quantitative highlights, verdict (🟢 likely buy / 🟡 wait for price / 🔴 not at this price), deep-dive CTA to `longbridge-buffett-moat-analyzer`. Mandatory holding-period education + data-source appendix. Disqualifies airlines, pre-revenue biotech, ST, listing<5y. Triggers: "巴菲特会买什么", "巴菲特选股", "巴菲特风格的股票", "护城河选股", "宽护城河股票", "价值投资选股", "10年不动的股票", "定价权强的公司", "巴菲特會買什麼", "巴菲特選股", "護城河選股", "寬護城河股票", "Buffett screener", "what would Buffett buy", "wide-moat screener", "quality compounder screen", "Berkshire-style screen", "pricing-power screen".
Comprehensive evaluation of potential stock investments combining valuation analysis, fundamental research, technical assessment, and clear buy/hold/sell recommendations. Use when the user asks about buying a stock, evaluating investment opportunities, analyzing watchlist candidates, or requests stock recommendations. Provides specific entry prices, position sizing, and conviction ratings.
Analyze a cyclical business - locate where it sits in its cycle (with evidence), normalize its earnings vs peak/trough, run the P/E inversion that trips up naive valuation, read the structural top/bottom tells, and end in a disposition framed as thinking (never buy/sell). A decision-support thinking tool, not financial advice. A standalone skill, independent of /munger and /investment-checklist. Use when the user invokes /cyclicals, says "analyze this cyclical", "where is X in its cycle", "normalize earnings for X", "is it time to buy cyclicals", or pastes a cyclical business (commodity, metals, semis, autos, housing, shipping, airlines, chemicals, paper) to think through.