Web Fiction Topic Planning
Trigger Keywords
I want to write a novel but don't know what to write, help me think of a novel subject, find web fiction ideas, analyze what genres are hot, novel topic evaluation, what web fiction genres sell well now, give me a few novel ideas, think of a novel cheat, help me find a popular genre, what genres are easy to make popular in a novel, web fiction market trend analysis, help me do novel topic planning, web fiction popular genre analysis
Core Functions
- Market Hotspot Analysis: based on recent ranking data from major platforms, analyze current hot genres, popular trends, and audience preferences in the web fiction market
- Multi-dimensional Topic Generation: combine the input genre type and keywords to generate 3-5 topic directions with market potential
- Core Creative Design: design a cheat, core setting, satisfaction-point model, and emotional value curve for each topic
- Topic Feasibility Evaluation: conduct a comprehensive evaluation from dimensions such as market competition, audience size, creation difficulty, and monetization potential
- Creative Direction Suggestions: provide opening entry points, story pacing plans, character setting frameworks, and differentiated competition strategies
- Risk Warnings: identify issues that a topic may face, such as policy risks, market saturation risks, and genre life cycle problems
Output Format
# 网文选题策划报告
I. Market Analysis
1.1 Current Hot Genre Ranking
1.2 Target Genre Market Performance
1.3 Audience Profile and Preference Analysis
II. Topic Plans (3-5)
Topic One: "[Book Title]"
- Core Concept: summarize in one sentence
- Cheat Design: specific settings and rules
- Core Selling Points: 3-5 differentiated advantages
- Audience Positioning: precise audience description
- Satisfaction-point Model: emotional pacing design
- Opening Suggestions: plot planning for the first three chapters
- Market Competitiveness: score (1-10 points) + analysis
Topic Two: "[Book Title]"
...
III. Topic Evaluation and Recommendations
3.1 Explanation of Evaluation Dimensions
- Market Heat: current search volume and growth rate of the genre
- Competitive Landscape: number of similar works and concentration of top works
- Audience Size: size of the potential readership and willingness to pay
- Creation Difficulty: complexity of settings, update pressure, and professional knowledge requirements
- Monetization Potential: IP adaptation possibilities, payment ceiling, and long-tail effect
- Policy Risk: genre sensitivity and content compliance
- Life Cycle: genre durability and scalability
3.2 Comparison Table of Scores for Each Topic
| Topic | Market Heat | Competitive Landscape | Audience Size | Creative Difficulty | Monetization Potential | Policy Risk | Overall Score |
|---|---|---|---|---|---|---|---|
| Topic One | 8/10 | 6/10 | 9/10 | 5/10 | 8/10 | Low | 7.5/10 |
| ... | ... | ... | ... | ... | ... | ... | ... |
3.3 Final Recommendations and Rationale
IV. Creative Execution Recommendations
4.1 Opening Pacing Plan
4.2 Character Setting Framework
4.3 Main Plotline Design
4.4 Differentiation Competition Strategy
4.5 Update Strategy and Reader Interaction Recommendations
V. Risk Warnings and Responses
### 数据持久化
**用户可见输出（当前工作目录）**：
- `选题策划报告.md`：完整的选题策划报告（直接可读的Markdown格式）
**中间数据（仅系统使用，存于`.sumeru/topic/`目录）**：
- `report.md`：完整报告的备份
- `options.json`：所有多选题方案的结构化数据（JSON格式，供后续skill复用）
- `summary.json`：核心参数摘要，包含评分、推荐结论等
#### 数据复用
后续阶段可直接读取该目录数据：
- 大纲设计阶段自动读取选题核心设定
- 支持导入其他项目的 `options.json` 快速复用创意