What problem does it solve? Users often reference uploaded files in conversation using @-symbols or natural language like "the first file" or "the latest uploaded image", and manually resolving these references is error-prone. This Skill automatically detects, parses, and resolves those references, extracting key file content and providing application suggestions for short-drama planning. ## Core Features & Use Cases - Reference Detection: Identifies @-symbol references (e.g., @file1, @image2) and natural-language references (e.g., "第一个文件", "最新上传的图片") in user text. - Content Extraction & Structured Output: Resolves each reference to file metadata and content, then produces a structured analysis report covering file type, name, and key information. - Planning Suggestions: Generates concrete application suggestions for character design, plot structure, and commercialization in vertical short-drama planning. - Use Case: A screenwriter uploads a draft script and a character design image, then asks "analyze @file1 and the latest uploaded image" — the Skill resolves both references, summarizes their content, and suggests how to apply them to the drama plan. ## Quick Start Ask the assistant to parse the file references in your message, such as "analyze @file1 and the first uploaded image, and suggest how to use them in my short-drama plan".
