story-long-scan

What problem does it solve?

It helps you understand the real market landscape for long-form web fiction by extracting stable patterns from platform ranking data, so you can choose writing directions with higher odds of matching reader demand.

Core Features & Use Cases

• Multi-platform trend scanning: Analyze ranking data from platforms like 起点、番茄、晋江、七猫 to extract topic distributions and trend shifts.
• Actionable market insights: Summarize data-driven findings such as recurring topic patterns, new genre signals, classic genre dynamics, typical word-count/update ranges, naming rules, and frequently repeated pitch keywords.
• Feasibility-based topic recommendation: Convert scanning results into concrete direction suggestions aligned with the user’s experience and what they can realistically write.
• Use Case: When you want to write a long novel but don’t know what themes are currently working, you provide the target platform (or let it scan broadly) and receive a structured “market overview + topic ranking + new signals + recommended directions” report.

Quick Start

Use the story-long-scan skill and ask: “帮我扫一下起点最近长篇网文榜单，提炼热门题材趋势和我适合切入的方向。”