story-short-scan

Scan Chinese literature app rankings to identify trending short-web-novel topics.

1|Updated May 16, 2026
One-click install
npx skills add https://github.com/LoveIiei/oh-story-opencode --skill story-short-scan
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: story-short-scan
Source: https://github.com/LoveIiei/oh-story-opencode/tree/main/.opencode/skills/story-short-scan
Command: npx skills add https://github.com/LoveIiei/oh-story-opencode --skill story-short-scan

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

Helps you quickly identify what short web novels are gaining traction across major platforms so you can choose a timely topic instead of guessing.

Core Features & Use Cases

  • Multi-platform market scanning: Collects热门榜单/作品列表 from multiple short-story platforms (e.g., Zhihu Yanyan, Fanqie, Qimao, Heiyan, Dianzhong) and builds a comparable dataset.
  • Multi-dimensional trend analysis: Analyzes hot themes, emerging “windfall” topics,爆款结构 patterns (hooks, pacing, emotional curve), platform differences, and revenue-related insights.
  • Actionable output: Produces a structured sweep report (tables + recommendations) and generates 3–5 concrete short-story pitch suggestions, then links you to the next writing/analyze skills.

Quick Start

Run /story-short-scan and tell it which platform(s) and analysis dimensions you want to focus on (e.g., “all platforms” and “hot topics + windfall topics +爆款模式”).

Frequently Asked Questions about story-short-scan

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I scan short web novel trends across multiple platforms?

You can analyze short web novel trends by running an automated workflow that loads local reference baseline data and collects platform ranking data via browser automation. It outputs a structured Markdown report detailing theme distribution and actionable topic recommendations.

What is a short-story market scan and how does it identify emerging topics?

A short-story market scan identifies emerging topics by collecting and analyzing ranking data from multiple platforms. It detects hot themes, windfall tags, and top-works structural patterns to highlight trending subjects and revenue-related insights for your next pitch.

Can I analyze plot hook patterns and structural breakdowns for top web novels?

Yes, you can analyze plot hook patterns and structural breakdowns for top works. The scan evaluates top-works structural patterns including hooks, pacing, and emotional curves across platforms like Zhihu Yanyan, Fanqie, and Qimao to inform your content strategy.

Do I need any specific environment or dependencies to run the short-story market scan?

You need an environment that supports a YAML-defined skill workflow and browser automation for data collection. The scan relies on loading local reference baseline data and requires no external dependencies to output the final structured Markdown report.

What's the best way to find actionable short-story pitch suggestions from platform rankings?

The best way to find pitch suggestions is to analyze multi-dimensional platform ranking data. The scan produces 3 to 5 concrete short-story pitch suggestions based on trend analysis, theme distribution, and revenue-related insights, linking directly to next writing skills.