chinese-novelist

penglonghuang/chinese-novelist-skill · updated Apr 8, 2026

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$npx skills add https://github.com/penglonghuang/chinese-novelist-skill --skill chinese-novelist
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summary

Serialized Chinese novel creation with genre variety, 10-50 chapter support, and AI-free polishing.

  • Guides users through a structured 5-question intake (genre, protagonist, personality, core conflict, chapter count) before generating detailed outlines and character profiles
  • Produces 3,000-5,000 word chapters with immediate hooks in the opening 20% and cliffhanger endings designed to sustain reader engagement across serialized releases
  • Includes deep refinement workflows to eliminate A
skill.md

Chinese Novelist: 中文小说创作助手

核心流程

第一阶段:5问确认

使用 AskUserQuestion 工具逐一询问用户,每个问题提供选项供用户选择。


问题1:题材与风格

Question: 你想要创作什么题材的小说?
Options:
- 悬疑推理(侦探、破案、解谜)
- 现代言情(都市、职场、恋爱)
- 古代言情(宫廷、江湖、穿越)
- 奇幻玄幻(魔法、异世界、修真)
- 科幻未来(科技、太空、末世)
- 武侠仙侠(江湖、门派、飞升)
- 历史架空(朝堂、战争、权谋)
- 都市现实(生活、成长、社会)

用户选择后记录:题材 = [用户选择]


问题2:主角设定

Question: 主角是什么设定?
Options:
- 男性主角(独角戏)
- 女性主角(独角戏)
- 双主角(男女双线)
- 群像戏(多线叙事)

用户选择后,如需进一步询问职业/身份,继续追问。

记录:主角 = [用户选择] + 职业/身份 = [用户回答]


问题3:主角性格

Question: 主角的核心性格是?
Options:
- 热血正义(积极、勇敢、有担当)
- 冷静智慧(理性、谋略、高智商)
- 温暖治愈(善良、温柔、有同理心)
- 高冷孤傲(冷漠、独立、强大)
- 阴暗腹黑(心机、算计、复仇)
- 成长逆袭(从弱到强、打脸升级)

记录:性格 = [用户选择]


问题4:核心冲突

Question: 小说的核心冲突是什么?
Options:
- 生死存亡(生存危机、逃出生天)
- 查明真相(寻找答案、揭露秘密)
- 爱情阻碍(追求真爱、克服阻碍)
- 复仇雪恨(复仇计划、伸张正义)
- 权力争夺(竞争上位、资源争夺)
- 成长突破(自我突破、实现价值)
- 守护保护(守护重要的人或事)

记录:核心冲突 = [用户选择]


问题5:章节数量

Question: 你计划创作多少章?
Options:
- 10章(短篇,约3-5万字)
- 15章(中短篇,约4.5-7.5万字)
- 20章(中篇,约6-10万字)
- 30章(中长篇,约9-15万字)
- 50章(长篇,约15-25万字)
- 自定义(输入具体章节数)

记录:章节数 = [用户选择]


5问收集完成后然后进入"第二阶段:规划"。


第二阶段:规划 + 二次确认

执行以下步骤:

  1. 创建项目文件夹novels/[小说名称]/
  2. 生成大纲:创建 00-大纲.md,使用 references/outline-template.md 模板,填入完整的章节规划
  3. 生成人物档案:创建 01-人物档案.md,使用 references/character-template.md 模板,创建主角、反派、配角档案

完成后,向用户展示规划摘要并请求确认,等待用户确认。用户同意后,进入"第三阶段:疯狂创作"。


第三阶段:疯狂创作

重要:全程无需再次向用户确认,必须逐一章创作

按顺序逐章创作,每章执行完整的创作流程(见下方"逐章创作"),完成一章后自动继续下一章,直到所有章节完成。


疯狂创作——逐章创作流程

每章创作时严格执行以下步骤:

1. 写前分析

  1. 读取 00-大纲.md - 查看TODO list和已完成章节的摘要
  2. 读取 00-大纲.md 中上一章的摘要
  3. 更新00-大纲.md 中 TODO list - 将本章标记为"进行中"
  4. 设计开头钩子 - 最关键:前20%必须有即时冲突 → chapter-guide.md(10种开头技巧)
  5. 规划场景 - 确定本章需要3-5个场景

2. 撰写

  1. 创建章节文件 - 使用references/chapter-template.md 模板
  2. 撰写正文 - 每章必须达到3000-5000字
  3. 设置结尾钩子 → hook-techniques.md(10种钩子类型)
  4. 字数检查 - 必须使用脚本检查字数:python scripts/check_chapter_wordcount.py <章节文件路径> 低于3000字必须使用扩充技巧重写

3. 撰写后优化

  1. 连贯性检查 → consistency.md - 人物一致性、情节连贯、节奏控制
  2. 深度润色(去除AI味) - 重点检查并修改:
    • 去除过度修饰的形容词:删减"璀璨"、"瑰丽"、"绚烂"等AI常用词堆砌
    • 减少抽象陈述:把"心中涌起复杂的情感"改为具体动作/对话
    • 打破四字格律:避免"心潮澎湃、热血沸腾"等陈词滥调
    • 增加口语化表达:人物对话要有个性,避免"书面语套话"
    • 优化节奏感:长句和短句交替,避免句式单调
    • 细节具象化:用具体的视觉/听觉/嗅觉细节替代笼统描述
  3. 字数检查 - 必须使用脚本检查字数:python scripts/check_chapter_wordcount.py <章节文件路径> 低于3000字必须使用扩充技巧重写

4. 最后收尾

  1. 生成章节摘要 - 在 00-大纲.md 添加摘要(300-500字)
  2. 更新状态 - 00-大纲.md 中 TODO list - 将本章标记为"完成"

三大黄金法则

  1. 展示而非讲述 - 用动作和对话表现,不要直接陈述
  2. 冲突驱动剧情 - 每章必须有冲突或转折
  3. 悬念承上启下 - 每章结尾必须留下钩子

字数检查脚本

使用 scripts/check_chapter_wordcount.py 检查章节字数:

# 检查单个章节
python scripts/check_chapter_wordcount.py novels/小说名/第01章.md

# 检查所有章节
python scripts/check_chapter_wordcount.py --all novels/小说名/

# 自定义最小字数
python scripts/check_chapter_wordcount.py novels/小说名/第01章.md 3500

低于3000字的章节必须使用 content-expansion.md 的扩充技巧进行扩充。

how to use chinese-novelist

How to use chinese-novelist on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add chinese-novelist
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/penglonghuang/chinese-novelist-skill --skill chinese-novelist

The skills CLI fetches chinese-novelist from GitHub repository penglonghuang/chinese-novelist-skill and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/chinese-novelist

Reload or restart Cursor to activate chinese-novelist. Access the skill through slash commands (e.g., /chinese-novelist) or your agent's skill management interface.

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

List & Monetize Your Skill

Submit your Claude Code skill and start earning

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Use Cases

User Story & Requirements Generation

Create detailed user stories, acceptance criteria, and feature specs

Example

Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios

Reduce spec writing time by 50%, ensure comprehensive coverage

Competitive Analysis

Research competitors, compare features, identify gaps

Example

Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities

Complete competitive research in 2 hours instead of 2 days

Roadmap Prioritization

Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs

Example

Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale

Make data-driven prioritization decisions faster

Stakeholder Communication

Draft PRDs, status updates, and stakeholder presentations

Example

Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement

Save 3-5 hours/week on communication overhead

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client
  • Access to product documentation and roadmap tools (Jira, Notion, etc.)
  • Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
  • Stakeholder contact information and communication channels

Time Estimate

30-60 minutes to see productivity improvements

Installation Steps

  1. 1.Install product management skill
  2. 2.Start with user story generation for known feature
  3. 3.Progress to competitive analysis: research 2-3 competitors
  4. 4.Use for roadmap prioritization: apply RICE/ICE scoring
  5. 5.Draft stakeholder communications and refine based on feedback
  6. 6.Build template library for recurring PM tasks
  7. 7.Share effective prompts with product team

Common Pitfalls

  • Not validating competitive research—verify facts before sharing
  • Accepting user stories without involving engineering team
  • Over-relying on frameworks without qualitative judgment
  • Not customizing outputs to company culture and communication style
  • Skipping stakeholder validation of generated requirements

Best Practices

✓ Do

  • +Validate research and competitive analysis with real data
  • +Collaborate with engineering when generating technical requirements
  • +Customize frameworks and templates to your company context
  • +Use skill for first drafts, refine with stakeholder input
  • +Document successful prompt patterns for PM tasks
  • +Combine AI efficiency with human judgment and intuition

✗ Don't

  • Don't publish competitive analysis without fact-checking
  • Don't finalize user stories without engineering review
  • Don't make prioritization decisions solely on AI scoring
  • Don't skip customer validation of generated requirements
  • Don't ignore company-specific context and culture

💡 Pro Tips

  • Provide context: company goals, constraints, customer feedback
  • Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
  • Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
  • Use skill for 70% generation + 30% customization to company needs

When to Use This

✓ Use When

Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.

✗ Avoid When

Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.

Learning Path

  1. 1Basic: user stories, feature specs, status updates
  2. 2Intermediate: competitive analysis, prioritization frameworks, PRDs
  3. 3Advanced: product strategy, go-to-market planning, OKR setting
  4. 4Expert: product vision, market positioning, business model innovation

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.555 reviews
  • Dhruvi Jain· Dec 20, 2024

    chinese-novelist is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Kwame Sethi· Dec 20, 2024

    I recommend chinese-novelist for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Dev Lopez· Dec 16, 2024

    Keeps context tight: chinese-novelist is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Hassan Verma· Dec 16, 2024

    Useful defaults in chinese-novelist — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Diya Rahman· Dec 16, 2024

    Solid pick for teams standardizing on skills: chinese-novelist is focused, and the summary matches what you get after install.

  • Carlos Sharma· Dec 4, 2024

    Registry listing for chinese-novelist matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Aditi Mensah· Nov 23, 2024

    chinese-novelist fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Aisha Martin· Nov 19, 2024

    chinese-novelist reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Oshnikdeep· Nov 11, 2024

    Keeps context tight: chinese-novelist is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Kwame Patel· Nov 7, 2024

    chinese-novelist is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

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