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Found 86 Skills
Protocol and DeFi risk evaluation covering hack history, oracle dependencies, treasury health, TVL concentration, and yield sustainability. Use when the user asks "is X safe", "how risky is", protocol security, risk analysis, or wants to evaluate risk before investing or depositing funds.
Provide frameworks for managing and paying off personal debt effectively. Use when the user asks about debt payoff strategies (avalanche vs snowball), refinancing decisions, debt consolidation, debt-to-income ratios, or the opportunity cost of paying off debt vs investing. Also trigger when users mention 'which debt to pay first', 'should I refinance', 'credit card debt', 'student loan payoff', 'DTI for mortgage', 'balance transfer', 'good debt vs bad debt', or ask how to get out of debt faster.
Extract and analyze cash flow trends and working capital changes from SEC filings using Octagon MCP. Use when researching operating cash flow, investing activities, financing activities, free cash flow, liquidity, and working capital dynamics from 10-K and 10-Q filings.
Define a brand's target audience with deep personas, psychographics, and ICP (Ideal Customer Profile). Use when the user says "target audience", "ideal customer", "customer persona", "audience persona", "ICP", "who is our customer", "define our audience", "audience research", "buyer persona", "who should we be targeting", "audience profile", "customer profile", "who buys this", or needs to understand their audience more deeply before investing in brand or marketing work.
Assess the health and consistency of an existing brand — identity, messaging, voice, positioning, and market perception. Use when the user says "brand audit", "brand review", "assess our brand", "is our brand consistent", "brand health check", "brand analysis", "something's off with our brand", "our brand feels outdated", "brand diagnosis", "review our brand", "brand gap analysis", or wants to understand where their brand is strong and where it needs work before investing in brand development.
Facilitates the fifth step of a proven ideal-customer (ICP) method: mapping inciting events — the specific trigger moments that move a perfect-fit customer from could-buy-someday to buying-today. Takes a keystones file (K1, K2, … with market segments) and, when available, customer-interview findings; walks the keystones one at a time, harvesting real trigger stories from interview evidence (marked observed) and working backward through brainstorm lenses — crises, seasonal cycles, strategic windows, personal life-changes — for the rest (marked hypothesized), recording each event with the keystone it couples to and how to find prospects in that condition, in INCITING-EVENTS.md (E1, E2, …). Load when the user has keystones and asks what makes customers buy now, what triggers a purchase, or 'run the inciting-events step.' Do NOT load to derive keystones or deal-breakers (previous steps), to write the final ideal-customer definition (next step), or to write the ads themselves.
Ingest public or authenticated knowledge bases and docs portals with Firecrawl browser. Use for JS-heavy docs, login-gated portals, paginated help centers, support knowledge bases, or structured JSON/markdown extraction from documentation sites.
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".
Internal downstream skill for ctf-sandbox-orchestrator. CTF-sandbox workflow for Kerberos, WinRM, SMB, RDP, Windows credential material, replayable tickets, delegation edges, and host-to-host pivot chains. Use when the user asks to replay Kerberos material, trace a WinRM, SMB, or RDP pivot, understand host-to-host privilege movement, or prove which Windows service accepted a credential or ticket. Use only after `$ctf-sandbox-orchestrator` has already established sandbox assumptions and routed here.
Multidisciplinary decision-making using mental models from psychology, economics, mathematics, and science to identify high-conviction opportunities and avoid cognitive biases. Keywords: latticework, lollapalooza, circle of competence, inversion, moats. NOT for single-discipline analysis, high-frequency trading, or speculative diversification.
Analyze high-dividend strategies in A-shares, evaluate the sustainability of returns and long-term returns of dividend stocks. This skill is used when users ask about high-dividend stocks, dividend strategies, A-share dividend analysis, cash dividend coverage ratio, CSI Dividend Index components, dividend yield rankings, or long-term income-oriented investments.
Smart-money and ownership-flow signals for a single stock via Longbridge Securities — SEC 13F institutional portfolios + position changes (US), funds and ETFs that hold the stock, SEC Form 4 insider trades (US-only), US short-interest history, and HK broker holdings (HK-only). Read-only. Markets vary by subcommand. Triggers: "13F", "机构持仓", "基金持仓", "ETF 持有", "持有这只股票的基金", "内部人交易", "高管买卖", "Form 4", "做空数据", "空头", "卖空", "经纪商持仓", "中央结算", "13F", "機構持倉", "基金持倉", "ETF 持有", "持有這隻股票的基金", "內部人交易", "高管買賣", "做空數據", "空頭", "賣空", "經紀商持倉", "中央結算", "13F holdings", "institutional holders", "fund holders", "ETF holders", "insider trades", "insider buying", "insider selling", "Form 4", "short interest", "days to cover", "short ratio", "broker holding", "CCASS", "AAPL insider sales", "TSLA short interest", "700.HK broker holding".