TypingMindTypingMindThe best frontend for AI
Novel Pleasure Points logo

Novel Pleasure Points

Community
uu201
novel-pleasure-points

网文爽点模式大全与疲劳管理。当用户需要设计爽感、打脸桥段、逆袭高潮、金手指设定、装逼场景，或需要分析爽点心理机制、控制爽点密度、防止读者审美疲劳时触发。覆盖60+种爽点模式及其结构模板。

Overview

Publisheruu201
Repositorycharacter-arc
Skill namenovel-pleasure-points
Stars
585
Forks
83
Bundled files
10
LicenseMIT
Links
Skill sourceRepository
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 10 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by uu201 on GitHub. Read the source before you install it.

Installation

Install the Novel Pleasure Points AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/uu201/character-arc/tree/main/resources/skills/Distilled-Novel-Toolbox/novel-pleasure-points
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/uu201/character-arc.git /tmp/character-arc
mkdir -p .claude/skills
cp -r /tmp/character-arc/resources/skills/Distilled-Novel-Toolbox/novel-pleasure-points .claude/skills/novel-pleasure-points
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Novel Pleasure Points in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Novel Pleasure Points on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Novel Pleasure Points is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

爽点模式大全与疲劳管理

Purpose

提供60+种网文爽点模式的完整库，包含每种模式的心理机制、结构模板、量化参数与经典范例，以及爽点疲劳管理与密度控制策略。

When to Use

  • 用户需要设计爽感桥段或打脸场景
  • 用户需要选择合适的爽点模式
  • 用户需要控制爽点密度与节奏
  • 用户担心读者审美疲劳

Instructions

爽点模式分类体系

一、实力碾压类
  1. 扮猪吃虎：隐藏实力→被轻视→展露实力→碾压反转。心理机制：期待感积累+释放
  2. 装逼打脸：主动展示→质疑嘲讽→实力证明→打脸反转。心理机制：优越感+正义感
  3. 越级反杀：以弱对强→绝境翻盘→超越极限。心理机制：逆袭快感+不可能变可能
  4. 科技碾压：高维科技vs低维文明→降维打击。心理机制：文明优越感
  5. 信息差碾压：掌握关键信息→对手不知→利用信息差取胜。心理机制：智力优越感
  6. 国术无敌：武道极致→一力降十会→拳拳到肉。心理机制：力量崇拜
二、身份反转类
  1. 身份觉醒：隐藏身份揭露→众人震惊→态度反转。心理机制：认知颠覆快感
  2. 赘婿逆袭：入赘受辱→身份揭露→全面碾压。心理机制：忍辱负重后的释放
  3. 兵王回归：退役隐居→被迫出手→王者归来。心理机制：英雄归来情结
  4. 神医下山：绝世医术→治病救人→权贵折服。心理机制：技能崇拜
  5. 废柴逆袭：天赋被夺/废物→奇遇金手指→逐步崛起。心理机制：从谷底攀升的满足感
  6. 退婚流：被退婚受辱→崛起→对方后悔。心理机制：被否定后的证明
三、智慧谋略类
  1. 智商碾压：布局算计→对手入彀→真相揭露。心理机制：智力优越感
  2. 幕后黑手：暗中操控→局势按计划发展→身份揭露。心理机制：掌控感
  3. 迪化流/误解向：行为被过度解读→他人脑补→效果超预期。心理机制：误解喜剧
四、稳健成长类
  1. 稳健流/苟道：低调发育→避免风险→厚积薄发。心理机制：安全感+延迟满足
  2. 签到/躺赢：签到获奖励→轻松变强→不劳而获。心理机制：懒人爽感
  3. 经营致富：从零开始→商业经营→财富积累。心理机制：建设成就感
五、情感关系类
  1. 后宫/修罗场：多女性角色围绕→争风吃醋→主角周旋。心理机制：被需求感
  2. 万人迷/团宠：众人喜爱→被宠溺→集万千宠爱。心理机制：被爱需求
  3. 虐渣复仇：被伤害→积蓄力量→复仇打脸。心理机制：正义感+报复快感
  4. 反差萌：外表/身份与内在反差→意外发现→萌点爆发。心理机制：认知反差愉悦
六、特殊机制类
  1. 爆兵平推：数量碾压→以量取胜→横推一切。心理机制：绝对力量感
  2. 第四天灾/玩家流：玩家涌入→混乱创造→不可预测。心理机制：混沌乐趣
  3. 答题流：知识问答→答对奖励→知识就是力量。心理机制：知识优越感
  4. 玄学天机：算命/风水→预言成真→众人敬畏。心理机制：神秘力量崇拜
  5. 直播崇拜：直播展示→观众震惊→打赏崇拜。心理机制：被关注快感
  6. 气运流：气运加身→机缘不断→天命所归。心理机制：命运眷顾感
  7. 献祭流：付出代价→获得力量→代价换实力。心理机制：等价交换的仪式感
  8. 归隐流：巅峰归隐→平凡生活→被迫出山。心理机制：大隐隐于市的浪漫

爽点结构模板

三段式爽点结构（最通用）：

  1. 铺垫期（30%）：建立对手的嚣张/主角的困境
  2. 爆发期（50%）：反转/打脸/实力展现
  3. 余韵期（20%）：众人反应/后续影响/主角淡然

递进式爽点链： 小爽点→中爽点→大爽点→超爽点，每个爽点比上一个提升一个量级

循环式爽点： 铺垫→爆发→短暂平静→新铺垫→更大爆发

爽点密度控制

平台建议爽点密度小爽点间隔大爽点间隔
飞卢极高500字2000字
番茄高800字3000字
起点中高1500字5000字
晋江中2000字8000字

爽点疲劳管理

  1. 类型轮换：不同爽点模式交替使用，避免连续同类型
  2. 强度波动：高低起伏，不能一直高潮
  3. 情感穿插：爽点之间插入温情/搞笑/悬疑
  4. 升级递进：爽点规模随剧情升级，避免同水平重复
  5. 意外元素：偶尔打破读者预期，制造惊喜

Bundled Resources

  • references/index.md — 爽点模式索引
  • references/disguise-power.md — 扮猪吃虎与隐藏实力类
  • references/face-slapping.md — 装逼打脸与逆袭类
  • references/intelligence-crushing.md — 智慧碾压与谋略类
  • references/steady-flow.md — 稳健流与苟道类
  • references/misunderstanding-stream.md — 迪化流与误解向
  • references/harem-romance.md — 后宫与情感关系类
  • references/revenge-abuse.md — 虐渣复仇类
  • references/sign-in-system.md — 签到系统与躺赢类
  • references/pleasure-fatigue-management.md — 爽点疲劳管理

Checklist

  • 爽点模式选择与题材匹配
  • 爽点密度符合目标平台要求
  • 爽点类型轮换，避免单一重复
  • 爽点结构完整（铺垫-爆发-余韵）
  • 爽点强度递进，不原地踏步

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Novel Pleasure Points AI skill do?

网文爽点模式大全与疲劳管理。当用户需要设计爽感、打脸桥段、逆袭高潮、金手指设定、装逼场景，或需要分析爽点心理机制、控制爽点密度、防止读者审美疲劳时触发。覆盖60+种爽点模式及其结构模板。

Why use Novel Pleasure Points on TypingMind?

Because you install it once and use it with any model. Novel Pleasure Points is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Novel Pleasure Points in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/uu201/character-arc/tree/main/resources/skills/Distilled-Novel-Toolbox/novel-pleasure-points. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Novel Pleasure Points?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Novel Pleasure Points?

As many as you like. As long as a model supports skills, you can use Novel Pleasure Points with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Novel Pleasure Points AI skill free?

Yes. It is published on GitHub by uu201 under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

Related AI Skills

View all
microsoft logo

Create Hook

microsoft
OrganizationPopular

Create a hook (.json) to enforce policy or automate agent lifecycle events.

42.7K
192.7K
Instructions
View
microsoft logo

Generate Run Commands

microsoft
OrganizationPopular

Generate or modify run commands for the current session. Use when the user wants to set up or update run commands that appear in the session's Run button.

42.7K
192.7K
Instructions
View
anthropics logo

Algorithmic Art

anthropics
OrganizationPopular

Creating algorithmic art using p5.js with seeded randomness and interactive parameter exploration. Use this when users request creating art using code, generative art, algorithmic art, flow fields, or…

21.8K
184K
2 files
View
anthropics logo

Doc Coauthoring

anthropics
OrganizationPopular

Guide users through a structured workflow for co-authoring documentation. Use when user wants to write documentation, proposals, technical specs, decision docs, or similar structured content. This…

21.8K
184K
Instructions
View

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇