What problem does it solve? Unstructured reasoning leads to premature convergence on weak ideas, missed assumptions, and flawed architecture decisions. This Skill provides repeatable frameworks for generating alternatives, evaluating proposals rigorously, and questioning requirements deeply before committing to a solution. ## Core Features & Use Cases - Critical Evaluation: A 7-step process to restate claims, assess evidence, detect fallacies, expose assumptions, and check contradictions before accepting a proposal. - Diverge-Converge Brainstorming: A 5-phase workflow that generates 20-50 ideas, clusters them into themes, and selects 3-5 candidates using weighted scoring. - Deep Questioning: A 6-layer progressive inquiry method that uncovers root causes, constraints, user needs, and validation risks. - First Principles Reasoning: A 5-phase strategic analysis covering assumption audits, decomposition, alternative generation, trade-off analysis, and cognitive bias checks. - Use Case: When choosing between state management libraries for a React app, run an assumption audit, generate alternatives, score them with weighted trade-off criteria, and check for anchoring or confirmation bias before recommending. ## Quick Start Ask the AI to apply the diverge-converge framework to generate and evaluate solution options for your current design problem.