What problem does it solve?
Content creators on Xiaohongshu often struggle to find their next topic. Comment sections contain real audience questions, objections, and unmet needs, but manually mining them for a focused, writable topic is slow and inconsistent.
Core Features & Use Cases
- Comment Signal Classification: Categorizes comments into follow-up questions, rebuttals, supplements, emotions, action intents, and author interactions to surface what readers still want to know.
- Single-Topic Generation: Distills one note's comment section into exactly one narrow, writable topic with a title under 20 characters, target reader, core tension, angle, and material source.
- Strict JSON Output: Returns a fixed schema with content_direction, thinking_process, topic, and direction_frame fields, ready for downstream topic-center pipelines.
- Use Case: A creator picks a viral note about budget travel; the skill reads its comments, finds many users asking how to book cheap train tickets, and outputs a new topic targeting first-time budget travelers.
Quick Start
Provide one Xiaohongshu note with its comment excerpts and ask the AI to analyze the comment section and produce one potential topic.
