Aggregates and analyzes fanqienovel ranking data to recommend novel topics.
npx skills add https://github.com/Ynyqy/ZAgent --skill novel-research-ynyqy
Please help me install this Agent Skill. Skill: novel-research Source: https://github.com/Ynyqy/ZAgent/tree/main/zagent/workspace/skills/novel-research Command: npx skills add https://github.com/Ynyqy/ZAgent --skill novel-research-ynyqy
This Skill provides structured market analysis for novel authors by leveraging Tomato fanqienovel ranking data to guide topic selection, trend detection, and pitch creation.
Run a market scan for都市高武 to get top rankings and trend insights
High-intent search queries and answers about installing and using this skill.
Analyzing Tomato novel ranking data for topic selection involves fetching male and female rankings, comparing category shares, and detecting market shifts. This skill automates that data retrieval and outputs structured creative recommendations to guide your novel pitches.
Tracking fanqienovel market trends requires aggregating male and female ranking data to observe category share shifts over time. This skill processes ranking data to identify trending categories and returns actionable insights and creative direction for novel topics.
Yes, you can get structured JSON outputs from Tomato ranking data for downstream LLM drafting. This skill formats market analysis, category trends, and creative recommendations into JSON-suited outputs, enabling seamless integration with LLM-assisted novel writing workflows.
Yes, this novel market analysis tool requires pydantic and requests dependencies to function. Pydantic handles data validation for the retrieved fanqienovel ranking data, while requests manages the on-demand API retrieval of male and female category rankings.
Comparing male and female novel rankings to find market gaps requires aggregating both datasets and analyzing their category shares. This skill fetches both rankings simultaneously, analyzes the proportional distribution, and highlights trending categories to reveal underserved novel topics.
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