What problem does it solve? Complex architecture and technology decisions are often made on unexamined assumptions, first-idea anchoring, and hidden trade-offs, leading to rework and project failure. This Skill provides a structured five-phase thinking framework that surfaces assumptions, finds root causes, generates alternatives, compares trade-offs, and checks for cognitive biases before committing to a decision. ## Core Features & Use Cases - Five-Phase Decision Process: Assumption Audit, First Principles Decomposition (Five Whys), Alternative Generation, Weighted Trade-off Analysis, and Cognitive Bias Check. - Decision Documentation: Strategic Decision Record template with weighted scoring matrices, trade-off records, and review triggers for architecture decisions. - Deep-Dive Modules: Dedicated modules for assumption matrices, first principles, trade-off analysis, and cognitive bias mitigation, plus worked examples for technology selection, performance optimization, and refactoring scope. - Use Case: When choosing a state management library for a React app, run the framework to audit team-skill assumptions, generate four candidate options, score them against weighted criteria, and document the accepted trade-offs with a review trigger. ## Quick Start Ask the AI to apply the Philosopher framework to evaluate architecture options for your current technology selection decision.
