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Found 19 Skills
ETF analysis framework via Longbridge — product screening (AUM/expense ratio/index), tracking error, liquidity (bid-ask spread/volume), premium/discount (NAV vs market price), and A-share ETF allocation insights. Triggers: "ETF分析", "ETF选择", "ETF跟踪误差", "ETF溢价", "ETF流动性", "ETF费率", "ETF规模", "宽基ETF", "行业ETF", "指数基金", "ETF分析", "ETF選擇", "ETF追蹤誤差", "ETF溢價", "ETF流動性", "ETF費率", "ETF規模", "指數基金", "ETF analysis", "ETF selection", "tracking error", "ETF premium discount", "ETF liquidity", "expense ratio", "broad market ETF", "sector ETF", "index fund".
Generate a financial due diligence checklist and analysis framework for any investment, acquisition, or partnership. Use when asked for a due diligence checklist, M&A financial review, investment analysis framework, or vendor financial assessment. Produces a document request list, key analytical questions, red flags checklist, and a summarised financial health assessment.
Run an investment idea through Charlie Munger's latticework of mental models and surface which models "pop" — which fire for the idea, which fire against it, and what an inversion pass reveals. A decision-support thinking tool, not financial advice. Use when the user invokes /munger, says "run this idea through mental models", "munger check this", "what mental models apply to this investment", or pastes an investment thesis / ticker / business and asks which models fire.
Aggregate and rank signals from multiple edge-finding skills (edge-candidate-agent, theme-detector, sector-analyst, institutional-flow-tracker) into a prioritized conviction dashboard with weighted scoring, deduplication, and contradiction detection.
Evaluate the source, strength, sustainability and weakening risks of a company's competitive advantages, and determine whether the moat truly exists and can be converted into returns. Suitable for scenarios such as long-term stock initial screening, high-quality company research, and competitive barrier judgment.
Router skill for LLMQuant investor-lens workflows. Use when the user wants an investor-style reasoning overlay grounded in LLMQuant Data evidence.
Portfolio diagnosis via Longbridge — concentration risk (top-5 weight), sector/industry distribution, currency exposure, factor exposure (large/small-cap, value/growth), pairwise correlation risk across holdings, and deviation from benchmark. Triggers: "组合诊断", "持仓集中度", "组合分析", "因子暴露", "行业分布", "货币敞口", "相关性风险", "组合检查", "組合診斷", "持倉集中度", "組合分析", "因子暴露", "行業分布", "貨幣敞口", "相關性風險", "portfolio diagnosis", "concentration risk", "factor exposure", "sector distribution", "currency exposure", "correlation risk", "portfolio review", "holdings analysis".