This is a meta-skill that reads JSON outputs from eight other market analysis tools and synthesizes them into a single conviction score from 0 to 100, inspired by Stanley Druckenmiller's investment approach. It weighs seven components including market breadth, distribution risk, and macro regime to classify the current market into one of four patterns (policy pivot, unsustainable distortion, extreme sentiment contrarian, or wait and observe) and spits out target allocation percentages. You'd run this after executing the five required upstream skills when you want a unified positioning recommendation instead of juggling separate breadth, top detection, and macro signals. The scoring is quantitative but the pattern labels lean heavily on Druckenmiller philosophy references, so it sits somewhere between systematic and discretionary.
npx skills add https://github.com/tradermonty/claude-trading-skills --skill stanley-druckenmiller-investment