What problem does it solve? Turning raw author topics, key points, and materials into a structured social card storyboard is error-prone: model suggestions get written as personal experience, sources lose attribution, and pages end up unbalanced. This Skill converts a custom fact base into a strict JSON storyboard while preserving source-level integrity. ## Core Features & Use Cases - Three content types: Plans tutorial (step-by-step), list (criteria plus items), and opinion (claim, evidence, counterpoints) storyboards for WeChat and Xiaohongshu image-text posts. - Source-level enforcement: Distinguishes author_experience, user_material, and model_suggestion so external search or document results keep attribution and model suggestions are never written as tested claims. - Semantic visual intent: Outputs emphasis, tone, controlled icons, and badges for key content blocks without emitting font sizes, colors, HTML, or CSS. - Use Case: Given a fact base about configuring a local AI workflow, produce a 4-6 page tutorial storyboard with cover, step pages, a boundary page disclosing untested suggestions, and an ending page. ## Quick Start Provide your topic, key points, and materials as a social_card_fact_base and ask the assistant to plan a tutorial, list, or opinion card storyboard with source attribution preserved.
