What problem does it solve? Teams often pick tools or approaches based on popularity, benchmark winners, or gut feel, hiding uncertainty inside scores and letting licensing, security, or platform blockers get averaged away. This Skill turns gathered research into a defensible decision by enforcing explicit criteria, hard gates, and visible tradeoffs. ## Core Features & Use Cases - Structured Decision Framework: Define the decision, candidates, hard gates, and weighted criteria before scoring, with UNKNOWN preserved instead of fabricated numbers. - Disposition Output: Returns ADOPT, ADAPT, INTEGRATE, PILOT/ISOLATE, DEFER, RESEARCH MORE, REJECT, BUILD FROM SCRATCH, or WATCHLIST with rationale, confidence, and unresolved gates. - Risk-Aware Comparison: Evaluates reversibility, exit cost, readiness burden, security, provenance, and licensing as first-class decision factors. - Use Case: After researching three vector databases, use this Skill to compare them against your platform constraints and licensing requirements, then receive a disposition with confidence level and the smallest next action. ## Quick Start Ask the AI to evaluate the researched candidates against your decision criteria and constraints and recommend a disposition with confidence and unresolved gates.