Shioaji Taiwan financial trading API guide. Use when trading stocks/futures/options on Taiwan markets, subscribing to real-time market data, querying account info, or building automated trading systems. Shioaji 台灣金融交易 API 指南。適用於：股票/期貨/選擇權交易、即時行情訂閱、帳務查詢、自動交易系統開發。
Provides comprehensive technical analysis for stocks and ETFs using RSI, MACD, Bollinger Bands, and other indicators. Activates when user requests stock analysis, technical indicators, trading signals, or market data for specific ticker symbols.
Python-based threat modeling using pytm library for programmatic STRIDE analysis, data flow diagram generation, and automated security threat identification. Use when: (1) Creating threat models programmatically using Python code, (2) Generating data flow diagrams (DFDs) with automatic STRIDE threat identification, (3) Integrating threat modeling into CI/CD pipelines and shift-left security practices, (4) Analyzing system architecture for security threats across trust boundaries, (5) Producing threat reports with STRIDE categories and mitigation recommendations, (6) Maintaining threat models as code for version control and automation.
Benchmarking and competitive analysis techniques. Compares performance, processes, and practices against industry standards, competitors, and best-in-class organizations.
Risk analysis using risk registers, probability/impact matrices, and mitigation planning. Identifies, assesses, and manages project, business, and technical risks with structured response strategies.
Decision modeling using decision tables, weighted scoring matrices, and decision trees. Structures complex decisions with clear criteria, alternatives evaluation, and outcome prediction.
Comprehensive guide for FinLab quantitative trading package for Taiwan stock market (台股). Use when working with trading strategies, backtesting, Taiwan stock data, FinLabDataFrame, factor analysis, stock selection, or when the user mentions FinLab, trading, 回測, 策略, 台股, quant trading, or stock market analysis. Includes data access, strategy development, backtesting workflows, and best practices.
Access Kalshi prediction market data including market prices, orderbooks, trades, events, and series information. Use when the user asks about prediction markets, Kalshi markets, betting odds, market prices, or needs to search or analyze prediction market data.
Track and analyze US government shutdown liquidity impacts by monitoring TGA (Treasury General Account), bank reserves, EFFR, and SOFR data from FRED API. Use when user wants to (1) analyze current or past government shutdown effects on financial markets, (2) track liquidity conditions during fiscal policy disruptions, (3) assess "stealth tightening" effects, (4) compare shutdown episodes across different monetary policy regimes (QE vs QT), or (5) generate liquidity stress reports with historical context. Recommended usage frequency is weekly on Wednesdays after TGA/reserve data releases.
Proactively search for security threats, vulnerabilities, and suspicious patterns in applications and infrastructure before they cause damage. Use when conducting security audits, identifying vulnerabilities, analyzing security logs, detecting suspicious patterns, investigating potential breaches, performing penetration testing, or implementing security monitoring.
Quantitative trading expertise for DeFi and crypto derivatives. Use when building trading strategies, signals, risk management. Triggers on signal, backtest, alpha, sharpe, volatility, correlation, position size, risk.
Build robust backtesting systems for trading strategies with proper handling of look-ahead bias, survivorship bias, and transaction costs. Use when developing trading algorithms, validating strategies, or building backtesting infrastructure.
Synthesize competing positions through structured thesis-antithesis-synthesis process. Use when stakeholders disagree, trade-offs exist, or multiple valid perspectives need integration. Produces integrated positions with acknowledged trade-offs.
SMC trading agent skill for Alpha Harness backtesting. Provides ICT/SMC methodology, decision frameworks, and behavioral guidelines for autonomous trading in simulated environments. USE WHEN agent wakes in harness, needs to analyze markets, decide on setups, or place orders.
Smart Money Concepts (SMC) and ICT-style chart analysis skill. Analyzes any market with one command - fetches real data, runs multi-timeframe analysis, identifies trade setups with entry/stop/targets. Use when user asks to "analyze [SYMBOL]", wants SMC/ICT analysis, asks about liquidity sweeps, order blocks, fair value gaps, or market structure, or wants trade setup recommendations.
Calculate portfolio risk metrics including VaR, CVaR, Sharpe, Sortino, and drawdown analysis. Use when measuring portfolio risk, implementing risk limits, or building risk monitoring systems.
Analyze skill library to identify coverage gaps, redundant overlaps, optimization opportunities, and provide recommendations for skill portfolio improvement
Deploy resource optimization and opportunity cost awareness mode. Use when need to balance exploration vs exploitation, feel trade-offs viscerally, or optimize portfolio thinking.
Financial modeling workflow for DCF, LBO, merger, and operating models. Delivers validated, documented models with sensitivity and scenario analysis.
Cash flow analysis and treasury management workflow covering liquidity assessment, cash forecasting, working capital optimization, and treasury operations.
Toolkit for building TAM/SAM/SOM models, sensitivity analyses, and narrative-ready visuals.
Use to analyze quota distribution, attainment fairness, and productivity signals.
Method for calculating customer health/risk tiers using quantitative + qualitative data.
