What problem does it solve? Analysts often jump from raw data to dashboards without a disciplined judgment process, inventing metric definitions or guessing at unanswerable questions. This Skill applies Seshat's public analyst-judgment knowledge to structure decision-questions, choose an analytical framing, and order a story strictly from approved metric contracts and a committed source-profile. ## Core Features & Use Cases - Decision-question derivation: Selects the appropriate route from the bi-analyst-knowledge index and follows its stop rules. - Analytical framing and story ordering: Chooses a framing and sequences a narrative grounded only in approved metric contracts. - Gap discipline: Marks unanswerable questions as [GAP] instead of inventing numbers or metric meanings. - Use Case: Given a committed retail source-profile and approved metric contracts, produce an ordered set of decision-questions and a story outline for a Power BI report, flagging any question the contracts cannot answer. ## Quick Start Use the bi-analyst-knowledge skill to derive decision-questions and an analytical framing from my approved metric contracts and committed source-profile.
