What problem does it solve? When multiple specialist agents (market data, fundamentals, news, options, portfolio, research) each return partial evidence, assembling a coherent, decision-relevant final answer is error-prone. This Skill defines the rules for merging those outputs into one concise user-facing response without losing key facts, hiding conflicts, or fabricating numbers. ## Core Features & Use Cases - Evidence-driven synthesis: Preserves decision-relevant facts from each specialist covering valuation, risk, catalysts, liquidity, timing, and portfolio fit. - Adaptive output structure: Scales from a two-line direct answer to a full Summary / What Supports It / What Works Against It / Data Gaps / Bottom Line format depending on query breadth. - Numeric and conflict discipline: Requires every numeric claim to trace to a specialist output, mandates conflict disclosure, and enforces consistent number formatting (e.g., $1.2B, 4.5%, $182.34). - Use Case: After fundamentals, news, and options agents analyze NVDA, use this Skill to produce a single answer that leads with the most diagnostic metrics, flags an unresolved data gap, and states the bottom line. ## Quick Start Synthesize the specialist outputs for AAPL into a final answer with key evidence, risks, and a bottom line.
