Skills

L

longbridge-performance-attribution

longbridge / skills

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"

L

longbridge-strategy-optimizer

longbridge / skills

Quantitative strategy generation and optimisation framework via Longbridge — create, modify, and backtest quant strategies: parameter grid search, walk-forward validation, overfitting detection (in-sample vs. out-of-sample), strategy combination (multi-strategy correlation diversification), Sharpe / Calmar ratio optimisation. Generates Python code frameworks for local execution. Triggers: "策略优化", "策略生成", "参数优化", "网格搜索", "回测优化", "过拟合", "walk-forward", "策略回测优化", "策略組合", "策略優化", "策略生成", "參數優化", "網格搜索", "回測優化", "strategy optimization", "strategy generation", "parameter optimization", "grid search", "overfitting", "walk-forward validation", "strategy backtest", "Sharpe ratio", "Calmar ratio"

S

shapely-compute

parcadei / continuous-claude-v3

Computational geometry with Shapely - create geometries, boolean operations, measurements, predicates

L

longbridge-business-query

longbridge / skills

Main business composition and operating data — revenue breakdown by segment, gross margin by business line, and operating metrics (ROE / ROA / ROIC / working capital turnover). Shareholder / customer / supplier data is not available via Longbridge; pair with longbridge-news to extract segment detail from filings. Triggers: "主营业务", "业务构成", "分部营收", "业务拆分", "经营数据", "业务占比", "收入结构", "主营收入", "主營業務", "業務構成", "分部營收", "業務拆分", "經營數據", "業務佔比", "business breakdown", "revenue breakdown", "segment revenue", "business composition", "operating data", "revenue structure", "main business", "segment breakdown", "gross margin by segment".

L

longbridge-dcf

longbridge / skills

Discounted cash flow (DCF) valuation model built from Longbridge financial data — historical FCF (operating cash flow minus capex), projected FCF with growth assumptions, WACC (Beta / risk-free rate / equity risk premium), terminal value, intrinsic value vs current price, and margin of safety. Triggers: "DCF", "现金流折现", "内在价值", "自由现金流", "WACC", "折现率", "安全边际", "终值", "现金流贴现", "現金流折現", "內在價值", "自由現金流", "折現率", "安全邊際", "DCF model", "discounted cash flow", "intrinsic value", "free cash flow", "WACC", "discount rate", "margin of safety", "terminal value", "Gordon growth".

L

longbridge-index-quote

longbridge / skills

Major index real-time quotes via Longbridge Securities — Shanghai Composite, CSI 300, ChiNext, Hang Seng, NASDAQ, S&P 500, Dow Jones and more; supports price, change, volume, historical trend. Triggers: "上证指数", "沪深300", "创业板指", "恒生指数", "纳斯达克", "标普500", "道琼斯", "指数行情", "指数点位", "上證指數", "滬深300", "創業板指", "恒生指數", "納斯達克", "標普500", "道瓊斯", "指數行情", "Shanghai Composite", "CSI 300", "Hang Seng Index", "NASDAQ", "S&P 500", "Dow Jones", "index quote", "market index".

L

longbridge-portfolio-diagnosis

longbridge / skills

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".

L

longbridge-risk-analysis

longbridge / skills

Risk measurement and stress testing via Longbridge — computes VaR (historical simulation / parametric), CVaR (expected shortfall), max drawdown, Sharpe ratio, Calmar ratio, and runs historical scenario stress tests (2008 GFC, 2020 COVID crash, 2022 rate-hike cycle). Triggers: "风险分析", "VaR", "压力测试", "最大回撤", "夏普比率", "CVaR", "历史情景", "尾部风险", "风险测量", "風險分析", "壓力測試", "最大回撤", "夏普比率", "歷史情景", "尾部風險", "風險測量", "risk analysis", "VaR value at risk", "CVaR", "stress test", "max drawdown", "Sharpe ratio", "Calmar ratio", "tail risk", "historical scenario".

M

Model Hyperparameter Tuning

aj-geddes / useful-ai-prompts

Optimize hyperparameters using grid search, random search, Bayesian optimization, and automated ML frameworks like Optuna and Hyperopt

R

rag-implementation

davila7 / claude-code-templates

Retrieval-Augmented Generation patterns including chunking, embeddings, vector stores, and retrieval optimization Use when: rag, retrieval augmented, vector search, embeddings, semantic search.

S

Statistical Hypothesis Testing

aj-geddes / useful-ai-prompts

Conduct statistical tests including t-tests, chi-square, ANOVA, and p-value analysis for statistical significance, hypothesis validation, and A/B testing

D

database-performance-debugging

aj-geddes / useful-ai-prompts

Debug database performance issues through query analysis, index optimization, and execution plan review. Identify and fix slow queries.

L

llmquant-market-intelligence

llmquant / skills

Router skill for LLMQuant market-intelligence workflows. Use when the user needs macro views, market sentiment dashboards, or event probability signals.

L

longbridge-company-tearsheet

longbridge / skills

Company tear sheet / one-pager via Longbridge Securities — generates a high-density 1–2 page company snapshot: business overview, key financials (revenue / net income / EPS / ROE), valuation multiples (PE / PB / EV-EBITDA), price performance, major shareholders, and recent catalysts. Triggers: "公司单页", "公司快照", "公司简报", "公司画像", "一页纸分析", "公司概要", "股票简报", "公司單頁", "公司快照", "公司簡報", "公司畫像", "一頁紙分析", "company tearsheet", "company profile", "company snapshot", "one-pager", "company brief", "stock summary", "company factsheet".

L

longbridge-correlation

longbridge / skills

Multi-asset correlation and cointegration analysis via Longbridge Securities — computes Pearson / Spearman return correlation matrix for 2–10 symbols, rolling 60-day correlation, Engle-Granger cointegration (ADF unit root), and spread half-life (AR(1) estimate). Used for portfolio decorrelation and pairs-trading pre-screening. Triggers: "相关性", "协整", "相关系数", "相关矩阵", "滚动相关", "去相关", "多标的相关", "相關性", "協整", "相關係數", "相關矩陣", "滾動相關", "去相關", "correlation", "cointegration", "correlation matrix", "rolling correlation", "Pearson", "Spearman", "decorrelation", "multi-asset correlation", "ADF test", "相关分析", "相關分析", "pairwise correlation".

L

longbridge-execution-model

longbridge / skills

Trade execution modelling framework (backtesting analysis only) via Longbridge — covers slippage models (linear / square-root market impact), VWAP/TWAP execution logic, market impact cost estimation (Kyle lambda), volume participation rate (POV) strategy. Helps quant traders build realistic execution assumptions in backtests. Triggers: "执行模型", "滑点模型", "VWAP执行", "TWAP执行", "市场冲击", "执行成本", "成交量参与率", "交易执行", "執行模型", "滑點模型", "VWAP執行", "TWAP執行", "市場冲擊", "執行成本", "交易執行", "execution model", "slippage model", "VWAP", "TWAP", "market impact", "execution cost", "volume participation rate", "Kyle lambda", "square root model", "POV strategy".

L

longbridge-onchain

longbridge / skills

On-chain data analysis framework — covers active addresses, whale behaviour, TVL (total value locked), DEX liquidity, and on-chain valuation metrics: MVRV (market cap / realised value), NVT (network value / transaction volume), SOPR. Longbridge provides spot crypto quotes (.HAS); raw on-chain data requires external sources (Glassnode / Dune Analytics). Triggers: "链上数据", "链上分析", "MVRV", "NVT", "活跃地址", "鲸鱼地址", "TVL", "SOPR", "链上指标", "链上估值", "鏈上數據", "鏈上分析", "活躍地址", "鯨魚地址", "鏈上指標", "鏈上估值", "on-chain data", "on-chain analysis", "MVRV ratio", "NVT ratio", "active addresses", "whale activity", "TVL", "SOPR", "on-chain valuation", "DeFi TVL", "crypto on-chain".

R

results-report

galaxy-dawn / claude-scholar

This skill should be used when the user asks to "write an experiment report", "summarize experimental results", "do experiment retrospection", "write a results report", "写实验总结报告", "写实验复盘", or mentions turning completed experiment artifacts into a structured, decision-oriented research report. It assumes strict analysis should come from `results-analysis` first.

L

longbridge-profit-analysis

longbridge / skills

Account-level profit and loss analysis via Longbridge Securities — simple return, time-weighted return (TWR), per-symbol P&L breakdown, and P&L by market. Supports custom date ranges. More focused on performance attribution than longbridge-portfolio. Requires login. Triggers: "盈亏分析", "账户盈亏", "时间加权收益", "TWR", "投资回报率", "持仓盈亏", "分市场盈亏", "业绩分析", "收益率分析", "盈虧分析", "賬戶盈虧", "時間加權收益", "投資回報率", "持倉盈虧", "profit analysis", "P&L analysis", "time-weighted return", "TWR", "account performance", "holding P&L", "profit by market", "investment return analysis", "我账户赚了多少", "我的亏损", "我賺了多少", "我的虧損".

L

longbridge-quant-stats

longbridge / skills

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".

L

longbridge-seasonality

longbridge / skills

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".

O

options-pricing

agiprolabs / claude-trading-skills

[STUB] Options pricing models including Black-Scholes, binomial trees, Monte Carlo, implied volatility surfaces, and Greeks for crypto options

X

xctf-data

machina-sports / sports-skills

NCAA cross country and track & field athlete data via TFRRS (tfrrs.org) and news via The Stride Report. Fetch athlete profiles including all personal records (PRs), eligibility year, school, full season-by-season results history, and XC/TF news. Zero config, no API keys. Use when: user asks about NCAA cross country, NCAA track and field, college running, TFRRS athlete profiles, personal records, PRs, XC or TF season results, individual athlete performance history, or XC/TF news. Don't use when: user asks about professional track, Diamond League, or other sports — use nfl-data, nba-data, wnba-data, nhl-data, mlb-data, golf-data, cricket-data, cfb-data, cbb-data, tennis-data, fastf1, or volleyball-data. For betting use polymarket or kalshi.

D

deep-learning

pluginagentmarketplace / custom-plugin-data-engineer

PyTorch, TensorFlow, neural networks, CNNs, transformers, and deep learning for production

L

longbridge-ml-strategy

longbridge / skills

Machine-learning prediction strategy framework via Longbridge Securities — walk-forward rolling training with feature engineering (MACD, RSI, Bollinger Band width, volume change rate) and a scikit-learn classifier (Random Forest / Gradient Boosting); retrains every 60 days, predicts 5-day direction probability; evaluates win rate, profit factor, and Sharpe ratio. For reference only — not investment advice. Triggers: "machine learning", "ML strategy", "predictive model", "random forest", "gradient boosting", "walk-forward", "rolling training", "feature engineering", "scikit-learn", "XGBoost".

R

research-paper-writing

nousresearch / hermes-agent

Write ML papers for NeurIPS/ICML/ICLR: design→submit.

T

training-check

wanshuiyin / auto-claude-code-research-in-sleep

Interactively monitor training metrics from the current Codex session, periodically checking WandB or fallback logs for NaN, divergence, plateaus, and broken runs

F

firecrawl-scrape

parcadei / continuous-claude-v3

Scrape web pages and extract content via Firecrawl MCP

S

swiftdata

prisma-labs-dev / apple-skills

API reference: SwiftData. Query for @Model, ModelContext, @Query, and schema migrations

A

api-pagination

aj-geddes / useful-ai-prompts

Implement efficient pagination strategies for large datasets using offset/limit, cursor-based, and keyset pagination. Use when returning collections, managing large result sets, or optimizing query performance.

F

fusion-infra-cli

equinor / fusion-skills

Provision and migrate Fusion databases using the fusion-infra-cli (finf). USE FOR: provision a database for a service, run SQL migrations, provision PR-specific ephemeral databases, check database state. DO NOT USE FOR: application code changes, service deployments, role management, or infrastructure other than databases.

L

longbridge-pairs-trading

longbridge / skills

Pairs trading / statistical-arbitrage strategy via Longbridge Securities — tests cointegration between two correlated assets using the Engle-Granger (ADF) method, computes the optimal hedge ratio via OLS, calculates spread Z-score, half-life of mean reversion, and generates entry/exit signals (long spread when Z > 2, short spread when Z < -2, exit when |Z| < 0.5). Triggers: "配对交易", "统计套利", "协整", "价差交易", "对价交易", "双股套利", "配對交易", "統計套利", "協整", "價差交易", "pairs trading", "statistical arbitrage", "cointegration", "spread trading", "mean reversion pairs", "hedge ratio", "half-life", "ADF test", "Kalman filter", "Z-score spread", "spread mean reversion".

L

longbridge-tech-hype

longbridge / skills

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".

M

machine-learning-ops-ml-pipeline

sickn33 / agentic-awesome-skills

Design and implement a complete ML pipeline for: $ARGUMENTS

L

llmquant-events

llmquant / skills

Router skill for LLMQuant event workflows. Use when the user needs earnings event briefs, M&A tracking, regulatory risk, catalysts, event calendars, or cross-asset event impact.

L

llmquant-options

llmquant / skills

Router skill for LLMQuant options workflows. Use when the user needs IV rank, option scoring, strategy construction, Greeks, P&L simulation, volatility surface, unusual activity, earnings IV crush, backtests, or hedges.

L

longbridge-smallcap-growth

longbridge / skills

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".

R

redis-state-management

manutej / luxor-claude-marketplace

Comprehensive guide for Redis state management including caching strategies, session management, pub/sub patterns, distributed locks, and data structures

C

cash-flow-forecast

openaccountant / skills

Project future cash flow using historical trends and recurring patterns

L

longbridge-volatility-strategy

longbridge / skills

Historical-volatility (HV) regime strategy via Longbridge Securities — computes 20-day and 60-day HV, ranks the current level as a percentile over the past year, and recommends a vol regime trade: long volatility (buy straddle) when HV percentile < 25%; short volatility (sell straddle / iron condor) when HV percentile > 75%; neutral otherwise. Triggers: "波动率策略", "历史波动率", "低波动率", "高波动率", "波动率分位", "做多波动率", "做空波动率", "波動率策略", "歷史波動率", "低波動率", "高波動率", "波動率分位", "做多波動率", "做空波動率", "volatility strategy", "historical volatility", "low volatility", "high volatility", "volatility percentile", "long volatility", "short volatility", "vol regime", "HV20", "HV60", "buy straddle", "sell straddle", "iron condor".

N

neo4j-migration-skill

neo4j-contrib / neo4j-skills

Migrates Neo4j driver code and Cypher queries from older versions (4.x, 5.x)

X

xauusd-trading

huynguyen03dev / xauusd-trading

Fetch XAUUSD (Gold) price data and analyze it using LLM reasoning to generate scalping signals. Optimized for small accounts with tight stop losses (5 points). Use 5m/15m timeframes for precise entry timing

D

database-indexing-strategy

aj-geddes / useful-ai-prompts

Design and implement database indexing strategies. Use when creating indexes, choosing index types, or optimizing index performance in PostgreSQL and MySQL.

D

database-schema-designer

davila7 / claude-code-templates

Design robust, scalable database schemas for SQL and NoSQL databases. Provides normalization guidelines, indexing strategies, migration patterns, constraint design, and performance optimization. Ensures data integrity, query performance, and maintainable data models

N

nosql-database-design

aj-geddes / useful-ai-prompts

Design NoSQL database schemas for MongoDB and DynamoDB. Use when modeling document structures, designing collections, or planning NoSQL data architectures.

B

braintrust-analyze

parcadei / continuous-claude-v3

Analyze Claude Code sessions via Braintrust

F

fastf1

machina-sports / sports-skills

Formula 1 data — race schedules, results, lap timing, driver and team info. Powered by the FastF1 library. Covers F1 sessions, qualifying, practice, race results, sector times, tire strategy. Use when: user asks about F1 race results, qualifying, lap times, driver stats, team info, the F1 calendar, or Formula 1 data. Don't use when: user asks about other motorsports (MotoGP, NASCAR, IndyCar, WEC, Formula E). Don't use for F1 betting odds or predictions — use kalshi or polymarket instead. Don't use for F1 news articles — use sports-news instead.

C

cli-anything-cloudcompare

hkuds / cli-anything

Command-line interface for CloudCompare — Agent-friendly harness for CloudCompare, the open-source 3D point cloud and mesh processing software. Supports 41 commands across 9 groups: project management, session control, point cloud operations (subsample, filter, segment, analyze), mesh operations, distance computation (C2C, C2M), transformations (ICP, matrix), export (LAS/LAZ/PLY/PCD/OBJ/STL/E57), and interactive REPL.

L

longbridge-buffett-moat-stock-screener

longbridge / skills

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`. Disqualifies airlines, pre-revenue biotech, ST, listing<5y. Triggers: "巴菲特会买什么", "巴菲特筛股", "巴菲特风格的股票", "护城河筛股", "宽护城河股票", "价值投资筛股", "10年不动的股票", "定价权强的公司", "巴菲特會買什麼", "巴菲特篩股", "護城河篩股", "寬護城河股票", "Buffett screener", "what would Buffett buy", "wide-moat screener", "quality compounder screen", "Berkshire-style screen", "pricing-power screen".

P

polymarket-analyzer

mjunaidca / polymarket-skills

Use this skill whenever the user wants to find trading opportunities, detect arbitrage, analyze a market, perform edge detection, find mispricing, do probability analysis, evaluate orderbook depth, find momentum signals, or assess Polymarket market quality. Triggers: "find opportunities", "detect arbitrage", "analyze market", "edge detection", "mispricing", "probability analysis", "orderbook analysis", "momentum scanner", "market inefficiency", "price gap", "volume surge", "trading edge", "market analysis".

S

spending-review

openaccountant / skills

Generate a categorized spending breakdown with month-over-month trends.

P

pint-compute

parcadei / continuous-claude-v3

Unit-aware computation with Pint - convert units, dimensional analysis, unit arithmetic

S

sentiment-analysis

agiprolabs / claude-trading-skills

Market sentiment extraction from social media, news, and on-chain data, including mention velocity, fear and greed indices, and influencer tracking

S

slippage-modeling

agiprolabs / claude-trading-skills

Execution cost estimation, slippage curve modeling, and optimal trade sizing based on AMM liquidity depth

A

ai-tasks

imagekit-developer / skills

Apply AI-powered analysis to images for business-specific tagging, metadata extraction, and quality checks using controlled vocabularies. Use when user wants to analyze images and apply structured metadata in ImageKit.

G

google-ads-report

openclaudia / openclaudia-skills

Pull Google Ads performance data and generate reports. Use when asked about ad campaign performance, keyword costs, quality scores, ROAS, conversion tracking, or ad spend analysis. Trigger phrases: “google ads,” “adwords,” “campaign performance,” “ad spend,” “quality score,” “CPC report,” “ROAS,” “ad conversion,” “keyword performance,” “google ads report.”

L

llmquant-commodities

llmquant / skills

Router skill for LLMQuant commodities workflows. Use when the user needs commodity spot, futures curve, inventory, roll yield, or macro linkage analysis.

O

ohlcv-processing

agiprolabs / claude-trading-skills

Market data preparation including OHLCV resampling, gap handling, anomaly detection, normalization, and multi-source merging

P

paper-claim-audit

wanshuiyin / auto-claude-code-research-in-sleep

Zero-context verification that every number, comparison, and scope claim in the paper matches raw result files. Uses a fresh cross-model reviewer with NO prior context to prevent confirmation bias. Use when user says "审查论文数据", "check paper claims", "verify numbers", "论文数字核对", or before submission to ensure paper-to-evidence fidelity

S

supabase-backend-platform

bobmatnyc / claude-mpm-skills

Supabase open-source Firebase alternative with Postgres, authentication, storage, and realtime subscriptions. Use when building full-stack applications requiring integrated backend services with Next.js, React, or Vue.