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Found 378 Skills
Use this skill when optimizing content for search engines - topic cluster strategy, pillar page architecture, E-E-A-T signals (Experience, Expertise, Authoritativeness, Trustworthiness), content freshness, keyword cannibalization detection, topical authority building, and content gap analysis. Triggers on content planning for SEO, fixing thin content, building topical authority, or resolving cannibalization issues.
Analyst consensus snapshot for listed companies via Longbridge — current revenue / EPS / target-price consensus estimates and analyst rating distribution. For revision direction, beat/miss tracking, and PEAD signals use longbridge-earnings-revision. Triggers: "一致预期", "分析师预期", "EPS预测", "目标价", "分析师评级分布", "买入评级", "卖出评级", "一致預期", "分析師預期", "EPS預測", "目標價", "分析師評級分佈", "買入評級", "賣出評級", "analyst consensus", "EPS forecast", "target price", "analyst rating distribution", "buy sell hold", "price target consensus", "TSLA.US consensus", "700.HK analyst estimates".
Harmonic Pattern Signal Engine - Identifies the XABCD five-point structure based on Fibonacci geometry, supports Gartley, Bat, Butterfly, and Crab patterns, and generates trading signals in the Potential Reversal Zone (PRZ). Triggers: "谐波形态", "谐波", "Gartley", "蝙蝠形态", "蝴蝶形态", "螃蟹形态", "XABCD", "潜在反转区", "PRZ", "斐波那契形态", "諧波形態", "諧波", "蝙蝠形態", "蝴蝶形態", "螃蟹形態", "harmonic pattern", "Gartley pattern", "Bat pattern", "Butterfly pattern", "Crab pattern", "PRZ", "potential reversal zone", "fibonacci harmonic"
Chan Theory Pattern Recognition — Automatically detect top/bottom fractals, Bi (upward/downward Bi), Segments, Zhongshu, and generate Buy 1/Buy 2/Buy 3/Sell 1/Sell 2/Sell 3 signals. Depends on the czsc library. Triggers: "缠论", "分型", "笔", "中枢", "线段", "一买", "二买", "三买", "一卖", "二卖", "三卖", "缠中说禅", "缠师", "纏論", "分型", "筆", "中樞", "線段", "一買", "二買", "三買", "一賣", "二賣", "三賣", "chanlun", "chan theory", "bi", "zhongshu", "buy point", "sell point", "fractal top bottom", "Chan theory".
Corporate event-driven analysis via Longbridge Securities — captures and classifies events that create pricing dislocations: major-shareholder increases/decreases, equity incentives, private placements, rights issues, buybacks, M&A/restructuring, index rebalancing, and management changes. Combines filings, corporate actions, and shareholder data to produce event signals. Triggers: "公司事件", "事件驱动", "大股东增持", "大股东减持", "股权激励", "定增", "配股", "回购", "并购重组", "指数调整", "管理层变更", "公告分析", "公司事件", "事件驅動", "大股東增持", "大股東減持", "股權激勵", "定增", "配股", "回購", "並購重組", "指數調整", "corporate event", "event-driven", "share buyback", "equity incentive", "major shareholder increase", "rights issue", "M&A arbitrage", "index rebalancing", "insider buying", "corporate action analysis".
Seasonality and calendar-effect strategy via Longbridge Securities — uses historical OHLCV data to compute month-of-year returns (January Effect), day-of-week returns (Monday / Friday effect), pre/post-holiday drift, and earnings-season effect; identifies statistically significant patterns and generates trading signals. Triggers: "季节性", "日历效应", "月份效应", "周一效应", "年初效应", "节假日效应", "财报季效应", "时间模式", "季節性", "日曆效應", "月份效應", "周一效應", "年初效應", "節假日效應", "財報季效應", "seasonality", "calendar effect", "January effect", "day of week effect", "holiday effect", "earnings season effect", "seasonal pattern", "time series anomaly", "月度效应", "月度效應", "monthly seasonality".
SEC EDGAR filing analysis via Longbridge — 10-K annual report, 10-Q quarterly, 8-K material events, proxy statement, insider Form 4. Extracts risk factors, MD&A, non-recurring items, and investment signals. Triggers: "SEC文件", "SEC申报", "10-K", "10-Q", "8-K", "委托投票书", "Form 4", "MD&A", "风险因素", "内部人申报", "SEC文件", "SEC申報", "委託投票書", "風險因素", "內部人申報", "SEC filing", "10-K annual report", "10-Q quarterly", "8-K material event", "proxy statement", "Form 4 insider", "MD&A", "risk factors", "SEC EDGAR".
Behavioral finance application framework — identify cognitive biases in markets (overreaction, underreaction, disposition effect, anchoring, herding), translate them into quantifiable trading signals (momentum / reversal), and assess whether current market sentiment shows systematic bias. Triggers: "行为金融", "认知偏差", "过度反应", "反应不足", "处置效应", "锚定效应", "羊群效应", "市场情绪偏差", "行為金融", "認知偏差", "過度反應", "反應不足", "處置效應", "錨定效應", "羊群效應", "behavioral finance", "cognitive bias", "overreaction", "underreaction", "disposition effect", "anchoring bias", "herding", "sentiment bias", "behavioral economics".
Real-time crypto news aggregation with AI ratings and trading signals from 84+ sources across news, listings, on-chain, meme, market, and prediction engines
Build trust signals that reduce perceived risk and enable user action. Use when designing landing pages, checkout flows, onboarding experiences, or any conversion point where user hesitation is a barrier.
Run SEO and GEO audits on URLs covering technical SEO, content quality, E-E-A-T signals, and AI citation readiness. Use when evaluating search performance or diagnosing ranking issues.
Develops digital marketing strategies for clients whose target audience spans multiple generational cohorts — calibrating content format, platform choice, trust signals, and tone to the distinct digital behaviours of Generation Z, Millennials, Generation X, and Baby Boomers. Invoke when a client's audience includes customers aged 18–65+ and current messaging is failing to resonate with one or more generational segments, or when launching a product or service that must appeal across multiple age groups simultaneously.