Backtest crypto and traditional trading strategies against historical data. Calculates performance metrics (Sharpe, Sortino, max drawdown), generates equity curves, and optimizes strategy parameters. Use when user wants to test a trading strategy, validate signals, or compare approaches. Trigger with phrases like "backtest strategy", "test trading strategy", "historical performance", "simulate trades", "optimize parameters", or "validate signals".

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Design-first idea exploration — Understanding user intent and design workflow before implementation

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Generate Conventional Commits spec git commits (auto-separate by feature)

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Task-based multi-agent coordination (includes Issue Remediation Loop)

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Structured bug diagnosis and fix — Root cause analysis, pattern scanning, regression tests

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AI design workflow with DESIGN.md, anti-patterns, and optional Stitch MCP

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