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Update skills#1029

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huacnlee merged 5 commits into
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endless/task-20
May 21, 2026
Merged

Update skills#1029
huacnlee merged 5 commits into
mainfrom
endless/task-20

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@endless-bot endless-bot commented May 21, 2026

Summary

  • 在 Skill 目录列表中,将 longbridge(总览 Skill)标记为 Popular(tagType: 'hot'
  • 同步更新三个语言版本(en / zh-CN / zh-HK)的 skill-catalog 配置
  • 同步更新 Skill.vue 中硬编码的 SKILLS 数组

Test plan

  • 访问 Skill 页面,确认 Longbridge Overview 卡片显示 Popular 标签
  • 切换三种语言,确认标签均正常显示

🤖 Generated with Claude Code

endless-bot and others added 2 commits May 21, 2026 10:38
…ls 页面介绍依然还是原来的 30 个,请调整实现,为 longbridge/ski

Generated by Endless task #20.

Co-authored-by: Huacnlee Li Huashun <huacnlee@longbridge-inc.com>
- Move skills.json to repo root (from skill-catalog/ subdir)
- Add augment.ts to non-destructively merge skills.json into existing
  curated CatalogLocale entries (preserves 30 hand-translated skills)
- Skill.vue now shows all 125 skills via augmentLocale()

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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Remaining comments which cannot be posted as a review comment to avoid GitHub Rate Limit

rdjson

🚫 [AutoCorrect Lint] <AutoCorrect> reported by reviewdog 🐶

"description": "Post-investment monitoring via Longbridge Securities — tracks portfolio holdings vs plan on a quarterly / monthly basis, extracts key KPIs (revenue growth / gross margin / cash flow), flags deviations vs expectations, and generates a neutral monitoring report summarising KPI changes. For reference only — not investment advice. Triggers: \"投后监控\", \"持仓监控\", \"定期复盘\", \"跟踪持仓\", \"持仓检视\", \"KPI跟踪\", \"业绩追踪\", \"投後監控\", \"持倉監控\", \"定期複盤\", \"追蹤持倉\", \"KPI追蹤\", \"post-investment monitoring\", \"position monitoring\", \"portfolio review\", \"KPI tracking\", \"performance tracking\", \"investment monitoring\", \"holding review\".",


🚫 [AutoCorrect Lint] <AutoCorrect> reported by reviewdog 🐶

"description": "Server-side quantitative indicator runner via Longbridge Securities — execute Pine Script v6 syntax subset against historical K-line data on Longbridge servers without a local Python environment. Supports built-in indicators (MACD, RSI, Bollinger Bands, EMA, SMA, etc.) and custom calculation logic; results returned as JSON. Triggers: \"量化指标\", \"Pine Script\", \"指标计算\", \"MACD计算\", \"RSI计算\", \"服务端指标\", \"指标脚本\", \"量化脚本\", \"技术指标运行\", \"量化指標\", \"指標計算\", \"MACD計算\", \"RSI計算\", \"服務端指標\", \"指標腳本\", \"quant indicator\", \"Pine Script\", \"indicator calculation\", \"run indicator\", \"server-side quant\", \"MACD script\", \"RSI calculation\", \"technical indicator runner\", \"quant run\".",


🚫 [AutoCorrect Lint] <AutoCorrect> reported by reviewdog 🐶

"description": "Quantitative statistics framework for time-series analysis using Longbridge price data — ADF unit root test (stationarity), cointegration (Engle-Granger / Johansen), GARCH volatility modelling (conditional heteroskedasticity), regression diagnostics (Durbin-Watson / Breusch-Pagan), bootstrap confidence intervals, hypothesis tests (t-test / F-test). Requires statsmodels and scipy. Triggers: \"量化统计\", \"ADF检验\", \"单位根\", \"协整检验\", \"GARCH\", \"自相关\", \"异方差\", \"Bootstrap\", \"假设检验\", \"量化統計\", \"ADF檢驗\", \"單位根\", \"協整檢驗\", \"異方差\", \"假設檢驗\", \"quantitative statistics\", \"ADF test\", \"unit root\", \"cointegration\", \"GARCH\", \"autocorrelation\", \"heteroskedasticity\", \"bootstrap\", \"hypothesis test\", \"statsmodels\".",


🚫 [AutoCorrect Lint] <AutoCorrect> reported by reviewdog 🐶

"description": "Financial regulatory knowledge base — A-shares (10% / 5% ST price limits, T+1 settlement, short-selling rules, new delisting rules), HK (T+0 short-selling, no price limits, odd-lot / grey market, profit test, insider dealing ordinance), US (PDT rule $25k threshold, Reg T margin, circuit breakers, SEC rules), crypto regulation, cross-border tax basics. Triggers: \"监管规则\", \"涨跌停\", \"T+1\", \"融券\", \"退市\", \"做空规则\", \"PDT规则\", \"熔断\", \"保证金\", \"印花税\", \"監管規則\", \"漲跌停\", \"融券\", \"退市\", \"做空規則\", \"PDT規則\", \"熔斷\", \"保證金\", \"印花稅\", \"regulatory rules\", \"circuit breaker\", \"short selling rules\", \"PDT rule\", \"margin requirements\", \"stamp duty\", \"delisting rules\", \"trading rules\", \"settlement rules\".",


🚫 [AutoCorrect Lint] <AutoCorrect> reported by reviewdog 🐶

"description": "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\".",


🚫 [AutoCorrect Lint] <AutoCorrect> reported by reviewdog 🐶

"description": "Small-cap growth stock discovery — identifies overlooked small/mid-cap high-growth companies (A-share 专精特新, HK growth stocks, US small-cap growth) by screening for market cap < 5–10B, revenue growth > 30%, ROE > 15%, and low institutional ownership. Triggers: \"小盘成长\", \"小市值\", \"成长股\", \"中小盘\", \"专精特新\", \"隐形冠军\", \"小盘股\", \"成长潜力\", \"小盤成長\", \"小市值\", \"成長股\", \"中小盤\", \"專精特新\", \"隱形冠軍\", \"small cap growth\", \"small cap stocks\", \"growth stocks\", \"mid-small cap\", \"hidden champions\", \"high growth companies\", \"small cap discovery\", \"emerging growth\", \"小市值成长股\", \"中小市值\".",


🚫 [AutoCorrect Lint] <AutoCorrect> reported by reviewdog 🐶

"description": "Tech hype vs. fundamentals analysis via Longbridge — identifies valuation bubbles and fundamental disconnects in A-share / HK tech stocks. Compares PE / PS / EV-EBITDA historical percentile against actual revenue / profit growth. Analyses which AI / EV / semiconductor theme plays have fundamental support vs. pure sentiment-driven momentum. Triggers: \"科技炒作\", \"AI泡沫\", \"估值泡沫\", \"科技估值\", \"概念股\", \"主题炒作\", \"基本面背离\", \"炒作识别\", \"科技泡沫\", \"科技炒作\", \"AI泡沫\", \"估值泡沫\", \"科技估值\", \"概念股\", \"主題炒作\", \"基本面背離\", \"tech hype\", \"AI bubble\", \"valuation bubble\", \"tech valuation\", \"theme stocks\", \"hype vs fundamentals\", \"concept stocks\", \"narrative vs reality\", \"AI concept\", \"semiconductor bubble\".",


🚫 [AutoCorrect Lint] <AutoCorrect> reported by reviewdog 🐶

"description": "Investment thesis tracker — maintains and updates the investment thesis for portfolio holdings and watchlist names by continuously tracking key data points (revenue growth, gross margin, user metrics), catalyst progress (new products, expansion, policy), and risk milestones, then renders a verdict on whether the thesis still holds. Triggers: \"投资逻辑\", \"Thesis追踪\", \"投资假设\", \"逻辑验证\", \"跟踪持仓\", \"买入逻辑\", \"持仓理由\", \"投資邏輯\", \"Thesis追蹤\", \"投資假設\", \"邏輯驗證\", \"追蹤持倉\", \"investment thesis\", \"thesis tracking\", \"investment hypothesis\", \"thesis validation\", \"thesis check\", \"investment rationale\", \"position monitoring\", \"thesis intact\", \"is my thesis still valid\".",


🚫 [AutoCorrect Lint] <AutoCorrect> reported by reviewdog 🐶

"description": "Valuation methodology framework covering absolute (DCF / DDM / SOTP) and relative (PE-Band / PB-ROE / EV-EBITDA / PS) approaches — when to use each, pros/cons, common pitfalls, and practical application with Longbridge data. Triggers: \"估值方法\", \"估值方法论\", \"DCF\", \"DDM\", \"SOTP\", \"PE估值\", \"EV/EBITDA\", \"绝对估值\", \"相对估值\", \"估值框架\", \"估值方法論\", \"絕對估值\", \"相對估值\", \"valuation methodology\", \"DCF model\", \"DDM\", \"SOTP\", \"PE band\", \"EV EBITDA\", \"absolute valuation\", \"relative valuation\", \"valuation framework\".",


🚫 [AutoCorrect Lint] <AutoCorrect> reported by reviewdog 🐶

"description": "Industry valuation rank time series for a single stock via Longbridge — tracks how a stock's PE / PB / PS / dividend-yield rank within its sector has changed over time (rank N of total M). Answers \"is my stock becoming relatively cheaper or more expensive vs peers?\" Complements longbridge-valuation (single-stock percentile history) and longbridge-industry-valuation (current sector snapshot). Triggers: \"行业排名变化\", \"估值排名\", \"PE排名历史\", \"行业估值位置\", \"排名走势\", \"估值相对同业\", \"行業排名變化\", \"估值排名\", \"PE排名歷史\", \"行業估值位置\", \"排名走勢\", \"valuation rank\", \"industry rank history\", \"PE rank trend\", \"relative valuation rank\", \"sector ranking over time\", \"how does AAPL rank in industry PE\".",


🚫 [AutoCorrect Lint] <AutoCorrect> reported by reviewdog 🐶

"description": "Value investing screen via Longbridge — scan A-share / HK / US stocks for fundamentally strong but undervalued companies based on PE, PB, dividend yield, ROE, and margin of safety. Suitable for value investing strategy. Triggers: \"低估值\", \"价值投资\", \"低PE\", \"低PB\", \"便宜股票\", \"安全边际\", \"高股息低估值\", \"被低估\", \"低估值\", \"價值投資\", \"低PE\", \"低PB\", \"便宜股票\", \"安全邊際\", \"高股息低估值\", \"value investing\", \"undervalued stocks\", \"low PE\", \"low PB\", \"margin of safety\", \"value screen\", \"cheap stocks\", \"bargain stocks\".",

Comment thread skills.json
{
"slug": "longbridge-adr-premium",
"name": "longbridge-adr-premium",
"description": "ADR / H-share / A-share cross-market pricing analysis via Longbridge Securities — tracks the premium or discount between US-listed ADRs, HK-listed H-shares, and A-shares; calculates theoretical arbitrage spread; analyses constraints (FX controls, transaction costs, liquidity). Triggers: \"ADR溢价\", \"ADR折价\", \"AH溢价\", \"ADR套利\", \"美股ADR\", \"三地比价\", \"跨市场套利\", \"双重上市\", \"ADR溢價\", \"ADR折價\", \"AH溢價\", \"ADR套利\", \"三地比價\", \"跨市場套利\", \"ADR premium\", \"ADR discount\", \"AH premium\", \"ADR arbitrage\", \"cross-listing premium\", \"dual-listed\", \"three-market comparison\", \"BABA ADR\", \"HK ADR\".",
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🚫 [AutoCorrect Lint] <AutoCorrect> reported by reviewdog 🐶

Suggested change
"description": "ADR / H-share / A-share cross-market pricing analysis via Longbridge Securities — tracks the premium or discount between US-listed ADRs, HK-listed H-shares, and A-shares; calculates theoretical arbitrage spread; analyses constraints (FX controls, transaction costs, liquidity). Triggers: \"ADR溢价\", \"ADR折价\", \"AH溢价\", \"ADR套利\", \"美股ADR\", \"三地比价\", \"跨市场套利\", \"双重上市\", \"ADR溢價\", \"ADR折價\", \"AH溢價\", \"ADR套利\", \"三地比價\", \"跨市場套利\", \"ADR premium\", \"ADR discount\", \"AH premium\", \"ADR arbitrage\", \"cross-listing premium\", \"dual-listed\", \"three-market comparison\", \"BABA ADR\", \"HK ADR\".",
"description": "ADR / H-share / A-share cross-market pricing analysis via Longbridge Securities — tracks the premium or discount between US-listed ADRs, HK-listed H-shares, and A-shares; calculates theoretical arbitrage spread; analyses constraints (FX controls, transaction costs, liquidity). Triggers: \"ADR 溢价\", \"ADR 折价\", \"AH 溢价\", \"ADR 套利\", \"美股 ADR\", \"三地比价\", \"跨市场套利\", \"双重上市\", \"ADR 溢價\", \"ADR 折價\", \"AH 溢價\", \"ADR 套利\", \"三地比價\", \"跨市場套利\", \"ADR premium\", \"ADR discount\", \"AH premium\", \"ADR arbitrage\", \"cross-listing premium\", \"dual-listed\", \"three-market comparison\", \"BABA ADR\", \"HK ADR\".",

Comment thread skills.json
{
"slug": "longbridge-analyst-estimates",
"name": "longbridge-analyst-estimates",
"description": "Analyst EPS estimate time series for a listed stock via Longbridge — tracks how the consensus EPS forecast (high / low / mean / median / analyst count) has changed over time, and shows actual values where reported. Answers \"have analysts been raising or cutting their estimates?\" Complements longbridge-consensus (current snapshot) by focusing on the historical revision trajectory. Triggers: \"分析师预测历史\", \"EPS预测趋势\", \"一致预期变化\", \"预期上调下调\", \"分析师预期轨迹\", \"分析师EPS\", \"预测时间序列\", \"分析師預測歷史\", \"EPS預測趨勢\", \"一致預期變化\", \"預期上調下調\", \"分析師EPS\", \"analyst estimate history\", \"EPS estimate trend\", \"consensus revision history\", \"estimate time series\", \"analyst forecast trajectory\", \"EPS upgrade downgrade history\".",
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🚫 [AutoCorrect Lint] <AutoCorrect> reported by reviewdog 🐶

Suggested change
"description": "Analyst EPS estimate time series for a listed stock via Longbridge — tracks how the consensus EPS forecast (high / low / mean / median / analyst count) has changed over time, and shows actual values where reported. Answers \"have analysts been raising or cutting their estimates?\" Complements longbridge-consensus (current snapshot) by focusing on the historical revision trajectory. Triggers: \"分析师预测历史\", \"EPS预测趋势\", \"一致预期变化\", \"预期上调下调\", \"分析师预期轨迹\", \"分析师EPS\", \"预测时间序列\", \"分析師預測歷史\", \"EPS預測趨勢\", \"一致預期變化\", \"預期上調下調\", \"分析師EPS\", \"analyst estimate history\", \"EPS estimate trend\", \"consensus revision history\", \"estimate time series\", \"analyst forecast trajectory\", \"EPS upgrade downgrade history\".",
"description": "Analyst EPS estimate time series for a listed stock via Longbridge — tracks how the consensus EPS forecast (high / low / mean / median / analyst count) has changed over time, and shows actual values where reported. Answers \"have analysts been raising or cutting their estimates?\" Complements longbridge-consensus (current snapshot) by focusing on the historical revision trajectory. Triggers: \"分析师预测历史\", \"EPS 预测趋势\", \"一致预期变化\", \"预期上调下调\", \"分析师预期轨迹\", \"分析师 EPS\", \"预测时间序列\", \"分析師預測歷史\", \"EPS 預測趨勢\", \"一致預期變化\", \"預期上調下調\", \"分析師 EPS\", \"analyst estimate history\", \"EPS estimate trend\", \"consensus revision history\", \"estimate time series\", \"analyst forecast trajectory\", \"EPS upgrade downgrade history\".",

Comment thread skills.json
{
"slug": "longbridge-ark-analysis",
"name": "longbridge-ark-analysis",
"description": "ARK-style single-stock disruptive-innovation diagnostic. Suitability gate on 4 dimensions (platform fit / innovation revenue / R&D intensity / management vision); if it passes, builds TAM (low/base/high), Wright's-Law cost curve with sourced learning rate, three-scenario 5-year target (Bull/Base/Bear, 15% discount), risks, conditional action frame. Data: Longbridge CLI first, MCP fallback, WebSearch only for TAM / learning rates / industry runway. Runs cross-statement reconciliation BEFORE analysis. Closes with a data-source appendix whose final row is the reconciliation summary. Independent implementation — not affiliated with ARK Invest. Triggers: \"木头姐\", \"ARK\", \"ARKK\", \"颠覆式创新\", \"莱特定律\", \"TAM\", \"5年目标价\", \"情景分析\", \"AI 与大数据\", \"自动化与机器人\", \"能源存储\", \"基因革命\", \"区块链与金融科技\", \"木頭姐\", \"顛覆式創新\", \"萊特定律\", \"5年目標價\", \"Cathie Wood\", \"ARK Invest\", \"disruptive innovation\", \"Wright's Law\", \"learning rate\", \"bull base bear\", \"scenario analysis\".",
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🚫 [AutoCorrect Lint] <AutoCorrect> reported by reviewdog 🐶

Suggested change
"description": "ARK-style single-stock disruptive-innovation diagnostic. Suitability gate on 4 dimensions (platform fit / innovation revenue / R&D intensity / management vision); if it passes, builds TAM (low/base/high), Wright's-Law cost curve with sourced learning rate, three-scenario 5-year target (Bull/Base/Bear, 15% discount), risks, conditional action frame. Data: Longbridge CLI first, MCP fallback, WebSearch only for TAM / learning rates / industry runway. Runs cross-statement reconciliation BEFORE analysis. Closes with a data-source appendix whose final row is the reconciliation summary. Independent implementation — not affiliated with ARK Invest. Triggers: \"木头姐\", \"ARK\", \"ARKK\", \"颠覆式创新\", \"莱特定律\", \"TAM\", \"5年目标价\", \"情景分析\", \"AI 与大数据\", \"自动化与机器人\", \"能源存储\", \"基因革命\", \"区块链与金融科技\", \"木頭姐\", \"顛覆式創新\", \"萊特定律\", \"5年目標價\", \"Cathie Wood\", \"ARK Invest\", \"disruptive innovation\", \"Wright's Law\", \"learning rate\", \"bull base bear\", \"scenario analysis\".",
"description": "ARK-style single-stock disruptive-innovation diagnostic. Suitability gate on 4 dimensions (platform fit / innovation revenue / R&D intensity / management vision); if it passes, builds TAM (low/base/high), Wright's-Law cost curve with sourced learning rate, three-scenario 5-year target (Bull/Base/Bear, 15% discount), risks, conditional action frame. Data: Longbridge CLI first, MCP fallback, WebSearch only for TAM / learning rates / industry runway. Runs cross-statement reconciliation BEFORE analysis. Closes with a data-source appendix whose final row is the reconciliation summary. Independent implementation — not affiliated with ARK Invest. Triggers: \"木头姐\", \"ARK\", \"ARKK\", \"颠覆式创新\", \"莱特定律\", \"TAM\", \"5 年目标价\", \"情景分析\", \"AI 与大数据\", \"自动化与机器人\", \"能源存储\", \"基因革命\", \"区块链与金融科技\", \"木頭姐\", \"顛覆式創新\", \"萊特定律\", \"5 年目標價\", \"Cathie Wood\", \"ARK Invest\", \"disruptive innovation\", \"Wright's Law\", \"learning rate\", \"bull base bear\", \"scenario analysis\".",

Comment thread skills.json
{
"slug": "longbridge-basicinfo",
"name": "longbridge-basicinfo",
"description": "Static basic information for all Longbridge-tradable securities — stocks, ETFs, options, warrants: company name, listing date, exchange, industry classification, total shares, circulating shares, market cap, IPO price, website, address. Futures / bonds / funds have limited coverage. Triggers: \"基础信息\", \"股票信息\", \"上市日期\", \"总股本\", \"流通股\", \"IPO价格\", \"标的信息\", \"品种信息\", \"基礎信息\", \"股票資料\", \"上市日期\", \"總股本\", \"流通股\", \"IPO價格\", \"基本資料\", \"basic info\", \"stock info\", \"listing date\", \"shares outstanding\", \"IPO price\", \"symbol info\", \"static data\", \"security info\", \"exchange listing\", \"total shares\".",
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🚫 [AutoCorrect Lint] <AutoCorrect> reported by reviewdog 🐶

Suggested change
"description": "Static basic information for all Longbridge-tradable securities — stocks, ETFs, options, warrants: company name, listing date, exchange, industry classification, total shares, circulating shares, market cap, IPO price, website, address. Futures / bonds / funds have limited coverage. Triggers: \"基础信息\", \"股票信息\", \"上市日期\", \"总股本\", \"流通股\", \"IPO价格\", \"标的信息\", \"品种信息\", \"基礎信息\", \"股票資料\", \"上市日期\", \"總股本\", \"流通股\", \"IPO價格\", \"基本資料\", \"basic info\", \"stock info\", \"listing date\", \"shares outstanding\", \"IPO price\", \"symbol info\", \"static data\", \"security info\", \"exchange listing\", \"total shares\".",
"description": "Static basic information for all Longbridge-tradable securities — stocks, ETFs, options, warrants: company name, listing date, exchange, industry classification, total shares, circulating shares, market cap, IPO price, website, address. Futures / bonds / funds have limited coverage. Triggers: \"基础信息\", \"股票信息\", \"上市日期\", \"总股本\", \"流通股\", \"IPO 价格\", \"标的信息\", \"品种信息\", \"基礎信息\", \"股票資料\", \"上市日期\", \"總股本\", \"流通股\", \"IPO 價格\", \"基本資料\", \"basic info\", \"stock info\", \"listing date\", \"shares outstanding\", \"IPO price\", \"symbol info\", \"static data\", \"security info\", \"exchange listing\", \"total shares\".",

Comment thread skills.json
{
"slug": "longbridge-buffett-moat-stock-screener",
"name": "longbridge-buffett-moat-stock-screener",
"description": "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 (🟢 meets Buffett criteria / 🟡 partially meets criteria / 🔴 does not meet criteria), 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\".",
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🚫 [AutoCorrect Lint] <AutoCorrect> reported by reviewdog 🐶

Suggested change
"description": "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 (🟢 meets Buffett criteria / 🟡 partially meets criteria / 🔴 does not meet criteria), 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\".",
"description": "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 (🟢 meets Buffett criteria / 🟡 partially meets criteria / 🔴 does not meet criteria), 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\".",

Comment thread skills.json
{
"slug": "longbridge-multifactor",
"name": "longbridge-multifactor",
"description": "Multi-factor cross-sectional stock-selection strategy via Longbridge Securities — scores stocks in an index or candidate pool on value (1/PE, 1/PB), momentum (60-day return), quality (ROE), and low-volatility (60-day HV) factors; standardises to Z-scores; composites with equal or IC-weighted combination; constructs a TopN long portfolio (high-score group) and bottom-N short portfolio. Triggers: \"多因子\", \"因子选股\", \"量化选股\", \"多因子模型\", \"因子投资\", \"横截面\", \"TopN组合\", \"IC权重\", \"多因子\", \"因子選股\", \"量化選股\", \"多因子模型\", \"橫截面\", \"multi-factor\", \"factor investing\", \"quantitative stock selection\", \"cross-sectional factor\", \"factor model\", \"IC weighting\", \"factor composite\", \"TopN portfolio\", \"factor score\", \"Z-score ranking\".",
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🚫 [AutoCorrect Lint] <AutoCorrect> reported by reviewdog 🐶

Suggested change
"description": "Multi-factor cross-sectional stock-selection strategy via Longbridge Securities — scores stocks in an index or candidate pool on value (1/PE, 1/PB), momentum (60-day return), quality (ROE), and low-volatility (60-day HV) factors; standardises to Z-scores; composites with equal or IC-weighted combination; constructs a TopN long portfolio (high-score group) and bottom-N short portfolio. Triggers: \"多因子\", \"因子选股\", \"量化选股\", \"多因子模型\", \"因子投资\", \"横截面\", \"TopN组合\", \"IC权重\", \"多因子\", \"因子選股\", \"量化選股\", \"多因子模型\", \"橫截面\", \"multi-factor\", \"factor investing\", \"quantitative stock selection\", \"cross-sectional factor\", \"factor model\", \"IC weighting\", \"factor composite\", \"TopN portfolio\", \"factor score\", \"Z-score ranking\".",
"description": "Multi-factor cross-sectional stock-selection strategy via Longbridge Securities — scores stocks in an index or candidate pool on value (1/PE, 1/PB), momentum (60-day return), quality (ROE), and low-volatility (60-day HV) factors; standardises to Z-scores; composites with equal or IC-weighted combination; constructs a TopN long portfolio (high-score group) and bottom-N short portfolio. Triggers: \"多因子\", \"因子选股\", \"量化选股\", \"多因子模型\", \"因子投资\", \"横截面\", \"TopN 组合\", \"IC 权重\", \"多因子\", \"因子選股\", \"量化選股\", \"多因子模型\", \"橫截面\", \"multi-factor\", \"factor investing\", \"quantitative stock selection\", \"cross-sectional factor\", \"factor model\", \"IC weighting\", \"factor composite\", \"TopN portfolio\", \"factor score\", \"Z-score ranking\".",

Comment thread skills.json
{
"slug": "longbridge-options-advanced",
"name": "longbridge-options-advanced",
"description": "Advanced options strategy framework via Longbridge — volatility surface concepts (SABR/local vol), dynamic Delta hedging, calendar spread, diagonal spread, volatility arbitrage (long vol/short vol), and skew trading. Triggers: \"高级期权\", \"波动率套利\", \"日历价差\", \"对角价差\", \"动态对冲\", \"偏斜交易\", \"SABR\", \"Long Vol\", \"Short Vol\", \"Delta对冲\", \"伽马交易\", \"高階期權\", \"波動率套利\", \"日曆價差\", \"對角價差\", \"動態對沖\", \"偏斜交易\", \"advanced options\", \"calendar spread\", \"diagonal spread\", \"volatility arbitrage\", \"long vol short vol\", \"skew trade\", \"dynamic delta hedging\", \"gamma scalping\", \"SABR model\".",
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🚫 [AutoCorrect Lint] <AutoCorrect> reported by reviewdog 🐶

Suggested change
"description": "Advanced options strategy framework via Longbridge — volatility surface concepts (SABR/local vol), dynamic Delta hedging, calendar spread, diagonal spread, volatility arbitrage (long vol/short vol), and skew trading. Triggers: \"高级期权\", \"波动率套利\", \"日历价差\", \"对角价差\", \"动态对冲\", \"偏斜交易\", \"SABR\", \"Long Vol\", \"Short Vol\", \"Delta对冲\", \"伽马交易\", \"高階期權\", \"波動率套利\", \"日曆價差\", \"對角價差\", \"動態對沖\", \"偏斜交易\", \"advanced options\", \"calendar spread\", \"diagonal spread\", \"volatility arbitrage\", \"long vol short vol\", \"skew trade\", \"dynamic delta hedging\", \"gamma scalping\", \"SABR model\".",
"description": "Advanced options strategy framework via Longbridge — volatility surface concepts (SABR/local vol), dynamic Delta hedging, calendar spread, diagonal spread, volatility arbitrage (long vol/short vol), and skew trading. Triggers: \"高级期权\", \"波动率套利\", \"日历价差\", \"对角价差\", \"动态对冲\", \"偏斜交易\", \"SABR\", \"Long Vol\", \"Short Vol\", \"Delta 对冲\", \"伽马交易\", \"高階期權\", \"波動率套利\", \"日曆價差\", \"對角價差\", \"動態對沖\", \"偏斜交易\", \"advanced options\", \"calendar spread\", \"diagonal spread\", \"volatility arbitrage\", \"long vol short vol\", \"skew trade\", \"dynamic delta hedging\", \"gamma scalping\", \"SABR model\".",

Comment thread skills.json
{
"slug": "longbridge-options-pnl",
"name": "longbridge-options-pnl",
"description": "Options P&L analysis via Longbridge — payoff diagrams, breakeven points, max profit/loss, and Greeks sensitivity (Delta/Gamma/Theta/Vega) for single-leg and multi-leg strategies. Triggers: \"期权盈亏\", \"盈亏图\", \"盈亏平衡\", \"最大亏损\", \"最大盈利\", \"Greeks敏感性\", \"Delta\", \"Gamma\", \"Theta\", \"Vega\", \"多腿组合\", \"期权到期\", \"期權盈虧\", \"盈虧圖\", \"盈虧平衡\", \"最大虧損\", \"最大盈利\", \"Greeks敏感性\", \"多腿組合\", \"options payoff\", \"P&L diagram\", \"breakeven\", \"max profit\", \"max loss\", \"Greeks sensitivity\", \"delta gamma theta vega\", \"multi-leg options\".",
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🚫 [AutoCorrect Lint] <AutoCorrect> reported by reviewdog 🐶

Suggested change
"description": "Options P&L analysis via Longbridge — payoff diagrams, breakeven points, max profit/loss, and Greeks sensitivity (Delta/Gamma/Theta/Vega) for single-leg and multi-leg strategies. Triggers: \"期权盈亏\", \"盈亏图\", \"盈亏平衡\", \"最大亏损\", \"最大盈利\", \"Greeks敏感性\", \"Delta\", \"Gamma\", \"Theta\", \"Vega\", \"多腿组合\", \"期权到期\", \"期權盈虧\", \"盈虧圖\", \"盈虧平衡\", \"最大虧損\", \"最大盈利\", \"Greeks敏感性\", \"多腿組合\", \"options payoff\", \"P&L diagram\", \"breakeven\", \"max profit\", \"max loss\", \"Greeks sensitivity\", \"delta gamma theta vega\", \"multi-leg options\".",
"description": "Options P&L analysis via Longbridge — payoff diagrams, breakeven points, max profit/loss, and Greeks sensitivity (Delta/Gamma/Theta/Vega) for single-leg and multi-leg strategies. Triggers: \"期权盈亏\", \"盈亏图\", \"盈亏平衡\", \"最大亏损\", \"最大盈利\", \"Greeks 敏感性\", \"Delta\", \"Gamma\", \"Theta\", \"Vega\", \"多腿组合\", \"期权到期\", \"期權盈虧\", \"盈虧圖\", \"盈虧平衡\", \"最大虧損\", \"最大盈利\", \"Greeks 敏感性\", \"多腿組合\", \"options payoff\", \"P&L diagram\", \"breakeven\", \"max profit\", \"max loss\", \"Greeks sensitivity\", \"delta gamma theta vega\", \"multi-leg options\".",

Comment thread skills.json
{
"slug": "longbridge-options-volatility",
"name": "longbridge-options-volatility",
"description": "Implied volatility analysis for options via Longbridge — IV vs HV comparison, IV percentile rank, volatility smile and skew, options pricing assessment, strategy selection guidance. Triggers: \"隐含波动率\", \"IV\", \"期权波动率\", \"波动率偏斜\", \"波动率微笑\", \"HV\", \"历史波动率\", \"IV百分位\", \"期权定价\", \"隱含波動率\", \"期權波動率\", \"波動率偏斜\", \"波動率微笑\", \"歷史波動率\", \"IV百分位\", \"期權定價\", \"implied volatility\", \"IV percentile\", \"volatility smile\", \"volatility skew\", \"HV vs IV\", \"options pricing\", \"vol surface\", \"TSLA.US implied vol\".",
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🚫 [AutoCorrect Lint] <AutoCorrect> reported by reviewdog 🐶

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"description": "Implied volatility analysis for options via Longbridge — IV vs HV comparison, IV percentile rank, volatility smile and skew, options pricing assessment, strategy selection guidance. Triggers: \"隐含波动率\", \"IV\", \"期权波动率\", \"波动率偏斜\", \"波动率微笑\", \"HV\", \"历史波动率\", \"IV百分位\", \"期权定价\", \"隱含波動率\", \"期權波動率\", \"波動率偏斜\", \"波動率微笑\", \"歷史波動率\", \"IV百分位\", \"期權定價\", \"implied volatility\", \"IV percentile\", \"volatility smile\", \"volatility skew\", \"HV vs IV\", \"options pricing\", \"vol surface\", \"TSLA.US implied vol\".",
"description": "Implied volatility analysis for options via Longbridge — IV vs HV comparison, IV percentile rank, volatility smile and skew, options pricing assessment, strategy selection guidance. Triggers: \"隐含波动率\", \"IV\", \"期权波动率\", \"波动率偏斜\", \"波动率微笑\", \"HV\", \"历史波动率\", \"IV 百分位\", \"期权定价\", \"隱含波動率\", \"期權波動率\", \"波動率偏斜\", \"波動率微笑\", \"歷史波動率\", \"IV 百分位\", \"期權定價\", \"implied volatility\", \"IV percentile\", \"volatility smile\", \"volatility skew\", \"HV vs IV\", \"options pricing\", \"vol surface\", \"TSLA.US implied vol\".",

Comment thread skills.json
{
"slug": "longbridge-performance-attribution",
"name": "longbridge-performance-attribution",
"description": "Portfolio performance attribution via Longbridge Securities — Brinson industry attribution (allocation / selection / interaction effects), factor alpha/beta decomposition (market β, value, momentum, size), and timing ability (Treynor-Mazuy model). For portfolio review and fund analysis. Requires login with Trade scope. Triggers: \"业绩归因\", \"归因分析\", \"Brinson归因\", \"配置效应\", \"选股效应\", \"因子归因\", \"alpha来源\", \"择时效应\", \"業績歸因\", \"歸因分析\", \"Brinson歸因\", \"配置效應\", \"選股效應\", \"因子歸因\", \"performance attribution\", \"Brinson attribution\", \"allocation effect\", \"selection effect\", \"factor attribution\", \"alpha decomposition\", \"timing ability\", \"portfolio attribution\", \"T-M model\", \"Jensen alpha\".",
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🚫 [AutoCorrect Lint] <AutoCorrect> reported by reviewdog 🐶

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"description": "Portfolio performance attribution via Longbridge Securities — Brinson industry attribution (allocation / selection / interaction effects), factor alpha/beta decomposition (market β, value, momentum, size), and timing ability (Treynor-Mazuy model). For portfolio review and fund analysis. Requires login with Trade scope. Triggers: \"业绩归因\", \"归因分析\", \"Brinson归因\", \"配置效应\", \"选股效应\", \"因子归因\", \"alpha来源\", \"择时效应\", \"業績歸因\", \"歸因分析\", \"Brinson歸因\", \"配置效應\", \"選股效應\", \"因子歸因\", \"performance attribution\", \"Brinson attribution\", \"allocation effect\", \"selection effect\", \"factor attribution\", \"alpha decomposition\", \"timing ability\", \"portfolio attribution\", \"T-M model\", \"Jensen alpha\".",
"description": "Portfolio performance attribution via Longbridge Securities — Brinson industry attribution (allocation / selection / interaction effects), factor alpha/beta decomposition (market β, value, momentum, size), and timing ability (Treynor-Mazuy model). For portfolio review and fund analysis. Requires login with Trade scope. Triggers: \"业绩归因\", \"归因分析\", \"Brinson 归因\", \"配置效应\", \"选股效应\", \"因子归因\", \"alpha 来源\", \"择时效应\", \"業績歸因\", \"歸因分析\", \"Brinson 歸因\", \"配置效應\", \"選股效應\", \"因子歸因\", \"performance attribution\", \"Brinson attribution\", \"allocation effect\", \"selection effect\", \"factor attribution\", \"alpha decomposition\", \"timing ability\", \"portfolio attribution\", \"T-M model\", \"Jensen alpha\".",

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Comment thread skills.json
{
"slug": "longbridge-post-investment",
"name": "longbridge-post-investment",
"description": "Post-investment monitoring via Longbridge Securities — tracks portfolio holdings vs plan on a quarterly / monthly basis, extracts key KPIs (revenue growth / gross margin / cash flow), flags deviations vs expectations, and generates a neutral monitoring report summarising KPI changes. For reference only — not investment advice. Triggers: \"投后监控\", \"持仓监控\", \"定期复盘\", \"跟踪持仓\", \"持仓检视\", \"KPI跟踪\", \"业绩追踪\", \"投後監控\", \"持倉監控\", \"定期複盤\", \"追蹤持倉\", \"KPI追蹤\", \"post-investment monitoring\", \"position monitoring\", \"portfolio review\", \"KPI tracking\", \"performance tracking\", \"investment monitoring\", \"holding review\".",
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🚫 [AutoCorrect Lint] <AutoCorrect> reported by reviewdog 🐶

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"description": "Post-investment monitoring via Longbridge Securities — tracks portfolio holdings vs plan on a quarterly / monthly basis, extracts key KPIs (revenue growth / gross margin / cash flow), flags deviations vs expectations, and generates a neutral monitoring report summarising KPI changes. For reference only — not investment advice. Triggers: \"投后监控\", \"持仓监控\", \"定期复盘\", \"跟踪持仓\", \"持仓检视\", \"KPI跟踪\", \"业绩追踪\", \"投後監控\", \"持倉監控\", \"定期複盤\", \"追蹤持倉\", \"KPI追蹤\", \"post-investment monitoring\", \"position monitoring\", \"portfolio review\", \"KPI tracking\", \"performance tracking\", \"investment monitoring\", \"holding review\".",
"description": "Post-investment monitoring via Longbridge Securities — tracks portfolio holdings vs plan on a quarterly / monthly basis, extracts key KPIs (revenue growth / gross margin / cash flow), flags deviations vs expectations, and generates a neutral monitoring report summarising KPI changes. For reference only — not investment advice. Triggers: \"投后监控\", \"持仓监控\", \"定期复盘\", \"跟踪持仓\", \"持仓检视\", \"KPI 跟踪\", \"业绩追踪\", \"投後監控\", \"持倉監控\", \"定期複盤\", \"追蹤持倉\", \"KPI 追蹤\", \"post-investment monitoring\", \"position monitoring\", \"portfolio review\", \"KPI tracking\", \"performance tracking\", \"investment monitoring\", \"holding review\".",

Comment thread skills.json
{
"slug": "longbridge-quant",
"name": "longbridge-quant",
"description": "Server-side quantitative indicator runner via Longbridge Securities — execute Pine Script v6 syntax subset against historical K-line data on Longbridge servers without a local Python environment. Supports built-in indicators (MACD, RSI, Bollinger Bands, EMA, SMA, etc.) and custom calculation logic; results returned as JSON. Triggers: \"量化指标\", \"Pine Script\", \"指标计算\", \"MACD计算\", \"RSI计算\", \"服务端指标\", \"指标脚本\", \"量化脚本\", \"技术指标运行\", \"量化指標\", \"指標計算\", \"MACD計算\", \"RSI計算\", \"服務端指標\", \"指標腳本\", \"quant indicator\", \"Pine Script\", \"indicator calculation\", \"run indicator\", \"server-side quant\", \"MACD script\", \"RSI calculation\", \"technical indicator runner\", \"quant run\".",
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"description": "Server-side quantitative indicator runner via Longbridge Securities — execute Pine Script v6 syntax subset against historical K-line data on Longbridge servers without a local Python environment. Supports built-in indicators (MACD, RSI, Bollinger Bands, EMA, SMA, etc.) and custom calculation logic; results returned as JSON. Triggers: \"量化指标\", \"Pine Script\", \"指标计算\", \"MACD计算\", \"RSI计算\", \"服务端指标\", \"指标脚本\", \"量化脚本\", \"技术指标运行\", \"量化指標\", \"指標計算\", \"MACD計算\", \"RSI計算\", \"服務端指標\", \"指標腳本\", \"quant indicator\", \"Pine Script\", \"indicator calculation\", \"run indicator\", \"server-side quant\", \"MACD script\", \"RSI calculation\", \"technical indicator runner\", \"quant run\".",
"description": "Server-side quantitative indicator runner via Longbridge Securities — execute Pine Script v6 syntax subset against historical K-line data on Longbridge servers without a local Python environment. Supports built-in indicators (MACD, RSI, Bollinger Bands, EMA, SMA, etc.) and custom calculation logic; results returned as JSON. Triggers: \"量化指标\", \"Pine Script\", \"指标计算\", \"MACD 计算\", \"RSI 计算\", \"服务端指标\", \"指标脚本\", \"量化脚本\", \"技术指标运行\", \"量化指標\", \"指標計算\", \"MACD 計算\", \"RSI 計算\", \"服務端指標\", \"指標腳本\", \"quant indicator\", \"Pine Script\", \"indicator calculation\", \"run indicator\", \"server-side quant\", \"MACD script\", \"RSI calculation\", \"technical indicator runner\", \"quant run\".",

Comment thread skills.json
{
"slug": "longbridge-quant-stats",
"name": "longbridge-quant-stats",
"description": "Quantitative statistics framework for time-series analysis using Longbridge price data — ADF unit root test (stationarity), cointegration (Engle-Granger / Johansen), GARCH volatility modelling (conditional heteroskedasticity), regression diagnostics (Durbin-Watson / Breusch-Pagan), bootstrap confidence intervals, hypothesis tests (t-test / F-test). Requires statsmodels and scipy. Triggers: \"量化统计\", \"ADF检验\", \"单位根\", \"协整检验\", \"GARCH\", \"自相关\", \"异方差\", \"Bootstrap\", \"假设检验\", \"量化統計\", \"ADF檢驗\", \"單位根\", \"協整檢驗\", \"異方差\", \"假設檢驗\", \"quantitative statistics\", \"ADF test\", \"unit root\", \"cointegration\", \"GARCH\", \"autocorrelation\", \"heteroskedasticity\", \"bootstrap\", \"hypothesis test\", \"statsmodels\".",
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"description": "Quantitative statistics framework for time-series analysis using Longbridge price data — ADF unit root test (stationarity), cointegration (Engle-Granger / Johansen), GARCH volatility modelling (conditional heteroskedasticity), regression diagnostics (Durbin-Watson / Breusch-Pagan), bootstrap confidence intervals, hypothesis tests (t-test / F-test). Requires statsmodels and scipy. Triggers: \"量化统计\", \"ADF检验\", \"单位根\", \"协整检验\", \"GARCH\", \"自相关\", \"异方差\", \"Bootstrap\", \"假设检验\", \"量化統計\", \"ADF檢驗\", \"單位根\", \"協整檢驗\", \"異方差\", \"假設檢驗\", \"quantitative statistics\", \"ADF test\", \"unit root\", \"cointegration\", \"GARCH\", \"autocorrelation\", \"heteroskedasticity\", \"bootstrap\", \"hypothesis test\", \"statsmodels\".",
"description": "Quantitative statistics framework for time-series analysis using Longbridge price data — ADF unit root test (stationarity), cointegration (Engle-Granger / Johansen), GARCH volatility modelling (conditional heteroskedasticity), regression diagnostics (Durbin-Watson / Breusch-Pagan), bootstrap confidence intervals, hypothesis tests (t-test / F-test). Requires statsmodels and scipy. Triggers: \"量化统计\", \"ADF 检验\", \"单位根\", \"协整检验\", \"GARCH\", \"自相关\", \"异方差\", \"Bootstrap\", \"假设检验\", \"量化統計\", \"ADF 檢驗\", \"單位根\", \"協整檢驗\", \"異方差\", \"假設檢驗\", \"quantitative statistics\", \"ADF test\", \"unit root\", \"cointegration\", \"GARCH\", \"autocorrelation\", \"heteroskedasticity\", \"bootstrap\", \"hypothesis test\", \"statsmodels\".",

Comment thread skills.json
{
"slug": "longbridge-regulatory-kb",
"name": "longbridge-regulatory-kb",
"description": "Financial regulatory knowledge base — A-shares (10% / 5% ST price limits, T+1 settlement, short-selling rules, new delisting rules), HK (T+0 short-selling, no price limits, odd-lot / grey market, profit test, insider dealing ordinance), US (PDT rule $25k threshold, Reg T margin, circuit breakers, SEC rules), crypto regulation, cross-border tax basics. Triggers: \"监管规则\", \"涨跌停\", \"T+1\", \"融券\", \"退市\", \"做空规则\", \"PDT规则\", \"熔断\", \"保证金\", \"印花税\", \"監管規則\", \"漲跌停\", \"融券\", \"退市\", \"做空規則\", \"PDT規則\", \"熔斷\", \"保證金\", \"印花稅\", \"regulatory rules\", \"circuit breaker\", \"short selling rules\", \"PDT rule\", \"margin requirements\", \"stamp duty\", \"delisting rules\", \"trading rules\", \"settlement rules\".",
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Suggested change
"description": "Financial regulatory knowledge base — A-shares (10% / 5% ST price limits, T+1 settlement, short-selling rules, new delisting rules), HK (T+0 short-selling, no price limits, odd-lot / grey market, profit test, insider dealing ordinance), US (PDT rule $25k threshold, Reg T margin, circuit breakers, SEC rules), crypto regulation, cross-border tax basics. Triggers: \"监管规则\", \"涨跌停\", \"T+1\", \"融券\", \"退市\", \"做空规则\", \"PDT规则\", \"熔断\", \"保证金\", \"印花税\", \"監管規則\", \"漲跌停\", \"融券\", \"退市\", \"做空規則\", \"PDT規則\", \"熔斷\", \"保證金\", \"印花稅\", \"regulatory rules\", \"circuit breaker\", \"short selling rules\", \"PDT rule\", \"margin requirements\", \"stamp duty\", \"delisting rules\", \"trading rules\", \"settlement rules\".",
"description": "Financial regulatory knowledge base — A-shares (10% / 5% ST price limits, T+1 settlement, short-selling rules, new delisting rules), HK (T+0 short-selling, no price limits, odd-lot / grey market, profit test, insider dealing ordinance), US (PDT rule $25k threshold, Reg T margin, circuit breakers, SEC rules), crypto regulation, cross-border tax basics. Triggers: \"监管规则\", \"涨跌停\", \"T+1\", \"融券\", \"退市\", \"做空规则\", \"PDT 规则\", \"熔断\", \"保证金\", \"印花税\", \"監管規則\", \"漲跌停\", \"融券\", \"退市\", \"做空規則\", \"PDT 規則\", \"熔斷\", \"保證金\", \"印花稅\", \"regulatory rules\", \"circuit breaker\", \"short selling rules\", \"PDT rule\", \"margin requirements\", \"stamp duty\", \"delisting rules\", \"trading rules\", \"settlement rules\".",

Comment thread skills.json
{
"slug": "longbridge-sec-filings",
"name": "longbridge-sec-filings",
"description": "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\".",
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🚫 [AutoCorrect Lint] <AutoCorrect> reported by reviewdog 🐶

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"description": "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\".",
"description": "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\".",

Comment thread skills.json
{
"slug": "longbridge-tech-hype",
"name": "longbridge-tech-hype",
"description": "Tech hype vs. fundamentals analysis via Longbridge — identifies valuation bubbles and fundamental disconnects in A-share / HK tech stocks. Compares PE / PS / EV-EBITDA historical percentile against actual revenue / profit growth. Analyses which AI / EV / semiconductor theme plays have fundamental support vs. pure sentiment-driven momentum. Triggers: \"科技炒作\", \"AI泡沫\", \"估值泡沫\", \"科技估值\", \"概念股\", \"主题炒作\", \"基本面背离\", \"炒作识别\", \"科技泡沫\", \"科技炒作\", \"AI泡沫\", \"估值泡沫\", \"科技估值\", \"概念股\", \"主題炒作\", \"基本面背離\", \"tech hype\", \"AI bubble\", \"valuation bubble\", \"tech valuation\", \"theme stocks\", \"hype vs fundamentals\", \"concept stocks\", \"narrative vs reality\", \"AI concept\", \"semiconductor bubble\".",
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🚫 [AutoCorrect Lint] <AutoCorrect> reported by reviewdog 🐶

Suggested change
"description": "Tech hype vs. fundamentals analysis via Longbridge — identifies valuation bubbles and fundamental disconnects in A-share / HK tech stocks. Compares PE / PS / EV-EBITDA historical percentile against actual revenue / profit growth. Analyses which AI / EV / semiconductor theme plays have fundamental support vs. pure sentiment-driven momentum. Triggers: \"科技炒作\", \"AI泡沫\", \"估值泡沫\", \"科技估值\", \"概念股\", \"主题炒作\", \"基本面背离\", \"炒作识别\", \"科技泡沫\", \"科技炒作\", \"AI泡沫\", \"估值泡沫\", \"科技估值\", \"概念股\", \"主題炒作\", \"基本面背離\", \"tech hype\", \"AI bubble\", \"valuation bubble\", \"tech valuation\", \"theme stocks\", \"hype vs fundamentals\", \"concept stocks\", \"narrative vs reality\", \"AI concept\", \"semiconductor bubble\".",
"description": "Tech hype vs. fundamentals analysis via Longbridge — identifies valuation bubbles and fundamental disconnects in A-share / HK tech stocks. Compares PE / PS / EV-EBITDA historical percentile against actual revenue / profit growth. Analyses which AI / EV / semiconductor theme plays have fundamental support vs. pure sentiment-driven momentum. Triggers: \"科技炒作\", \"AI 泡沫\", \"估值泡沫\", \"科技估值\", \"概念股\", \"主题炒作\", \"基本面背离\", \"炒作识别\", \"科技泡沫\", \"科技炒作\", \"AI 泡沫\", \"估值泡沫\", \"科技估值\", \"概念股\", \"主題炒作\", \"基本面背離\", \"tech hype\", \"AI bubble\", \"valuation bubble\", \"tech valuation\", \"theme stocks\", \"hype vs fundamentals\", \"concept stocks\", \"narrative vs reality\", \"AI concept\", \"semiconductor bubble\".",

Comment thread skills.json
{
"slug": "longbridge-thesis-tracker",
"name": "longbridge-thesis-tracker",
"description": "Investment thesis tracker — maintains and updates the investment thesis for portfolio holdings and watchlist names by continuously tracking key data points (revenue growth, gross margin, user metrics), catalyst progress (new products, expansion, policy), and risk milestones, then renders a verdict on whether the thesis still holds. Triggers: \"投资逻辑\", \"Thesis追踪\", \"投资假设\", \"逻辑验证\", \"跟踪持仓\", \"买入逻辑\", \"持仓理由\", \"投資邏輯\", \"Thesis追蹤\", \"投資假設\", \"邏輯驗證\", \"追蹤持倉\", \"investment thesis\", \"thesis tracking\", \"investment hypothesis\", \"thesis validation\", \"thesis check\", \"investment rationale\", \"position monitoring\", \"thesis intact\", \"is my thesis still valid\".",
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"description": "Investment thesis tracker — maintains and updates the investment thesis for portfolio holdings and watchlist names by continuously tracking key data points (revenue growth, gross margin, user metrics), catalyst progress (new products, expansion, policy), and risk milestones, then renders a verdict on whether the thesis still holds. Triggers: \"投资逻辑\", \"Thesis追踪\", \"投资假设\", \"逻辑验证\", \"跟踪持仓\", \"买入逻辑\", \"持仓理由\", \"投資邏輯\", \"Thesis追蹤\", \"投資假設\", \"邏輯驗證\", \"追蹤持倉\", \"investment thesis\", \"thesis tracking\", \"investment hypothesis\", \"thesis validation\", \"thesis check\", \"investment rationale\", \"position monitoring\", \"thesis intact\", \"is my thesis still valid\".",
"description": "Investment thesis tracker — maintains and updates the investment thesis for portfolio holdings and watchlist names by continuously tracking key data points (revenue growth, gross margin, user metrics), catalyst progress (new products, expansion, policy), and risk milestones, then renders a verdict on whether the thesis still holds. Triggers: \"投资逻辑\", \"Thesis 追踪\", \"投资假设\", \"逻辑验证\", \"跟踪持仓\", \"买入逻辑\", \"持仓理由\", \"投資邏輯\", \"Thesis 追蹤\", \"投資假設\", \"邏輯驗證\", \"追蹤持倉\", \"investment thesis\", \"thesis tracking\", \"investment hypothesis\", \"thesis validation\", \"thesis check\", \"investment rationale\", \"position monitoring\", \"thesis intact\", \"is my thesis still valid\".",

Comment thread skills.json
{
"slug": "longbridge-valuation-methodology",
"name": "longbridge-valuation-methodology",
"description": "Valuation methodology framework covering absolute (DCF / DDM / SOTP) and relative (PE-Band / PB-ROE / EV-EBITDA / PS) approaches — when to use each, pros/cons, common pitfalls, and practical application with Longbridge data. Triggers: \"估值方法\", \"估值方法论\", \"DCF\", \"DDM\", \"SOTP\", \"PE估值\", \"EV/EBITDA\", \"绝对估值\", \"相对估值\", \"估值框架\", \"估值方法論\", \"絕對估值\", \"相對估值\", \"valuation methodology\", \"DCF model\", \"DDM\", \"SOTP\", \"PE band\", \"EV EBITDA\", \"absolute valuation\", \"relative valuation\", \"valuation framework\".",
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"description": "Valuation methodology framework covering absolute (DCF / DDM / SOTP) and relative (PE-Band / PB-ROE / EV-EBITDA / PS) approaches — when to use each, pros/cons, common pitfalls, and practical application with Longbridge data. Triggers: \"估值方法\", \"估值方法论\", \"DCF\", \"DDM\", \"SOTP\", \"PE估值\", \"EV/EBITDA\", \"绝对估值\", \"相对估值\", \"估值框架\", \"估值方法論\", \"絕對估值\", \"相對估值\", \"valuation methodology\", \"DCF model\", \"DDM\", \"SOTP\", \"PE band\", \"EV EBITDA\", \"absolute valuation\", \"relative valuation\", \"valuation framework\".",
"description": "Valuation methodology framework covering absolute (DCF / DDM / SOTP) and relative (PE-Band / PB-ROE / EV-EBITDA / PS) approaches — when to use each, pros/cons, common pitfalls, and practical application with Longbridge data. Triggers: \"估值方法\", \"估值方法论\", \"DCF\", \"DDM\", \"SOTP\", \"PE 估值\", \"EV/EBITDA\", \"绝对估值\", \"相对估值\", \"估值框架\", \"估值方法論\", \"絕對估值\", \"相對估值\", \"valuation methodology\", \"DCF model\", \"DDM\", \"SOTP\", \"PE band\", \"EV EBITDA\", \"absolute valuation\", \"relative valuation\", \"valuation framework\".",

Comment thread skills.json
{
"slug": "longbridge-valuation-rank",
"name": "longbridge-valuation-rank",
"description": "Industry valuation rank time series for a single stock via Longbridge — tracks how a stock's PE / PB / PS / dividend-yield rank within its sector has changed over time (rank N of total M). Answers \"is my stock becoming relatively cheaper or more expensive vs peers?\" Complements longbridge-valuation (single-stock percentile history) and longbridge-industry-valuation (current sector snapshot). Triggers: \"行业排名变化\", \"估值排名\", \"PE排名历史\", \"行业估值位置\", \"排名走势\", \"估值相对同业\", \"行業排名變化\", \"估值排名\", \"PE排名歷史\", \"行業估值位置\", \"排名走勢\", \"valuation rank\", \"industry rank history\", \"PE rank trend\", \"relative valuation rank\", \"sector ranking over time\", \"how does AAPL rank in industry PE\".",
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"description": "Industry valuation rank time series for a single stock via Longbridge — tracks how a stock's PE / PB / PS / dividend-yield rank within its sector has changed over time (rank N of total M). Answers \"is my stock becoming relatively cheaper or more expensive vs peers?\" Complements longbridge-valuation (single-stock percentile history) and longbridge-industry-valuation (current sector snapshot). Triggers: \"行业排名变化\", \"估值排名\", \"PE排名历史\", \"行业估值位置\", \"排名走势\", \"估值相对同业\", \"行業排名變化\", \"估值排名\", \"PE排名歷史\", \"行業估值位置\", \"排名走勢\", \"valuation rank\", \"industry rank history\", \"PE rank trend\", \"relative valuation rank\", \"sector ranking over time\", \"how does AAPL rank in industry PE\".",
"description": "Industry valuation rank time series for a single stock via Longbridge — tracks how a stock's PE / PB / PS / dividend-yield rank within its sector has changed over time (rank N of total M). Answers \"is my stock becoming relatively cheaper or more expensive vs peers?\" Complements longbridge-valuation (single-stock percentile history) and longbridge-industry-valuation (current sector snapshot). Triggers: \"行业排名变化\", \"估值排名\", \"PE 排名历史\", \"行业估值位置\", \"排名走势\", \"估值相对同业\", \"行業排名變化\", \"估值排名\", \"PE 排名歷史\", \"行業估值位置\", \"排名走勢\", \"valuation rank\", \"industry rank history\", \"PE rank trend\", \"relative valuation rank\", \"sector ranking over time\", \"how does AAPL rank in industry PE\".",

Comment thread skills.json
{
"slug": "longbridge-value-screen",
"name": "longbridge-value-screen",
"description": "Value investing screen via Longbridge — scan A-share / HK / US stocks for fundamentally strong but undervalued companies based on PE, PB, dividend yield, ROE, and margin of safety. Suitable for value investing strategy. Triggers: \"低估值\", \"价值投资\", \"低PE\", \"低PB\", \"便宜股票\", \"安全边际\", \"高股息低估值\", \"被低估\", \"低估值\", \"價值投資\", \"低PE\", \"低PB\", \"便宜股票\", \"安全邊際\", \"高股息低估值\", \"value investing\", \"undervalued stocks\", \"low PE\", \"low PB\", \"margin of safety\", \"value screen\", \"cheap stocks\", \"bargain stocks\".",
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"description": "Value investing screen via Longbridge — scan A-share / HK / US stocks for fundamentally strong but undervalued companies based on PE, PB, dividend yield, ROE, and margin of safety. Suitable for value investing strategy. Triggers: \"低估值\", \"价值投资\", \"低PE\", \"低PB\", \"便宜股票\", \"安全边际\", \"高股息低估值\", \"被低估\", \"低估值\", \"價值投資\", \"低PE\", \"低PB\", \"便宜股票\", \"安全邊際\", \"高股息低估值\", \"value investing\", \"undervalued stocks\", \"low PE\", \"low PB\", \"margin of safety\", \"value screen\", \"cheap stocks\", \"bargain stocks\".",
"description": "Value investing screen via Longbridge — scan A-share / HK / US stocks for fundamentally strong but undervalued companies based on PE, PB, dividend yield, ROE, and margin of safety. Suitable for value investing strategy. Triggers: \"低估值\", \"价值投资\", \"低 PE\", \"低 PB\", \"便宜股票\", \"安全边际\", \"高股息低估值\", \"被低估\", \"低估值\", \"價值投資\", \"低 PE\", \"低 PB\", \"便宜股票\", \"安全邊際\", \"高股息低估值\", \"value investing\", \"undervalued stocks\", \"low PE\", \"low PB\", \"margin of safety\", \"value screen\", \"cheap stocks\", \"bargain stocks\".",

@huacnlee huacnlee changed the title longbridge/skills 里面已经更新了很多 skills,但 developers 项目里面的 skills 页面介绍依然还是原来的 30 个,请调整实现,为 longbridge/ski feat: 将 longbridge Skill 标记为 Popular May 21, 2026
@huacnlee huacnlee changed the title feat: 将 longbridge Skill 标记为 Popular Update skills May 21, 2026
@huacnlee huacnlee merged commit e26619f into main May 21, 2026
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@huacnlee huacnlee deleted the endless/task-20 branch May 21, 2026 13:16
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