What problem does it solve? Turning scattered open-source trend signals (multiple projects, sources, and timelines) into a coherent, evidence-backed social media card storyboard is hard: single releases get overhyped as industry trends, facts get duplicated across pages, and sources get lost. This Skill structures verified trend facts into a page-by-page storyboard where every claim stays traceable to its source. ## Core Features & Use Cases - Trend narrative planning: Organizes facts into a fixed narrative arc (trend signal → driving actors → timeline/ecosystem signals → comparison → open questions) before deciding page count and layout. - Evidence gating and degradation: Requires at least two of cross-source, cross-actor, or cross-time signals; otherwise downgrades the content to a single-event or tech card instead of fabricating a trend. - Strict structured output: Emits strict JSON conforming to the social_card_storyboard contract, with per-block source_refs and semantic visual intent, and no HTML, CSS, or invented metrics. - Use Case: Given a fact base covering several organizations adopting a new open-source protocol over two years, produce a 4–6 page WeChat/Xiaohongshu card plan with a cover, trend judgment, actor actions, comparison table, and observation boundaries. ## Quick Start Classify the collected open-source trend event facts and generate a traceable multi-page social card storyboard from them.
