What problem does it solve? When producing event-based social graphics, raw collected reports are messy, repetitive, and unverified. This Skill turns an event card plus its fetched report contents into a traceable deep fact base, so downstream storyboard and graphic generation rest on verified, source-attributed facts instead of guesses. ## Core Features & Use Cases - Source-Attributed Fact Extraction: Every claim, mechanism, impact, and open question is bound to source_id values from the input, separating confirmed facts from unverified claims and model inferences. - Structured JSON Output: Produces a strict JSON object with fields like context, keyChanges, mechanisms, benchmarks, impacts, risks, openQuestions, and a sourceAudit section counting independent sources. - Use Case: As an automatic internal stage in the social-event pipeline, it runs after report fetching and before storyboard generation—for example, analyzing a breaking tech event's multiple reports into a deduplicated fact base that the graphic generator can safely consume. ## Quick Start Provide an event card with its fetched report contents and ask the pipeline to run the event deep analysis stage to produce the deep event fact base JSON.
