story-long-scan

Generate multi-platform web novel market scan reports from ranking data.

1|Updated May 16, 2026

Search Tags:#web novel #competitive positioning #topic selection #market scanning #ranking analysis #genre trends #reader preferences

Ready to run

npx skills add https://github.com/LoveIiei/oh-story-opencode --skill story-long-scan

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: story-long-scan
Source: https://github.com/LoveIiei/oh-story-opencode/tree/main/.opencode/skills/story-long-scan
Command: npx skills add https://github.com/LoveIiei/oh-story-opencode --skill story-long-scan

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires agent-browser, and includes scripts (resource) and references (resource) components.

What problem does it solve?

帮你快速弄清近一段时间长篇网文在多个平台“到底什么题材在涨、为什么在涨”，并把这些信息落到可执行的选题方向上，避免凭感觉选题、跟风写偏或错过窗口期。

Core Features & Use Cases

Multi-platform market scanning：采集起点、番茄、晋江、七猫、刺猬猫的排行榜/榜单快照，覆盖付费与免费赛道，形成可对比的数据底盘。
Cross-dimensional analysis：从排行榜构成、题材趋势、读者偏好、新书表现到对标建议，输出结构化结论而不是散乱笔记。
Actionable output：按模板生成 Markdown 扫榜报告，并给出 3-5 个带差异化切入点的落地选题方向（含推荐平台与风险提示）。

Quick Start

使用 story-long-scan 做“起点 + 番茄”的近 30 天长篇扫榜并生成结构化报告与 3 个选题方向。

Frequently Asked Questions about story-long-scan

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

FAQPage Schema

How do I scan web novel rankings across multiple platforms for topic selection?▼

To scan web novel rankings for topic selection, this Skill collects ranking snapshots from platforms like Qidian, Fanqie, and Jinjiang, then analyzes genre trends to output structured market scan reports with actionable positioning guidance.

What is the best way to analyze long-form web novel genre trends and reader preferences?▼

Analyzing long-form web novel genre trends involves cross-dimensional evaluation of ranking list composition and new book performance across paid and free tracks. This Skill infers reader preferences and delivers structured conclusions rather than scattered notes.

Can I generate a competitive positioning report for Chinese web novels without manual data collection?▼

Yes, you can generate competitive positioning reports without manual collection. The Skill uses browsing automation via agent-browser to capture ranking data, with a manual data fallback mechanism if automated collection encounters barriers.

How do I get actionable topic directions from current web novel market data?▼

To get actionable topic directions from market data, the Skill formats findings into a Markdown scan report and provides 3 to 5 differentiated entry points, including recommended platforms and risk warnings for near-term genre trends.

Do I need agent-browser to run multi-platform web novel market scanning?▼

Yes, agent-browser is required for automated multi-platform web novel market scanning. If browser automation fails, the Skill supports manual data fallback to ensure the market scan report is still generated.

What limitations exist when scanning competitive positioning across major Chinese web novel platforms?▼

Limitations when scanning competitive positioning include dependency on browser automation stability for accessing live platforms. The Skill relies on near-term ranking snapshots and provides manual fallback if automated browsing is blocked.