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Deconstruct

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tance-mang
deconstruct

拆解对标平台爆火网文,学结构不抄字。当用户想拆书、分析爆款小说为什么火、对标某本热门书、提炼爆文的开篇/爽点/金手指/节奏套路、或要"照着这本爆款的写法写我自己的"时使用。输出可复用的结构模板,严守不抄袭原创底线。

Overview

Publishertance-mang
Repositorychinese-webnovel-skills
Skill namedeconstruct
Stars
96
Forks
15
Bundled files
Instructions only
LicenseMIT
Links
  • 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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by tance-mang on GitHub. Read the source before you install it.

Installation

Install the Deconstruct 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/tance-mang/chinese-webnovel-skills/tree/main/skills/deconstruct
  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/tance-mang/chinese-webnovel-skills.git /tmp/chinese-webnovel-skills
mkdir -p .claude/skills
cp -r /tmp/chinese-webnovel-skills/skills/deconstruct .claude/skills/deconstruct
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Deconstruct 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 Deconstruct 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 Deconstruct 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.

拆书对标爆款(deconstruct)

爆款不是抄来的,是拆出结构、复用到自己题材。本技能把一本火书"拆零件",提炼可复用的写作模板。

⚠️ 原创底线

学结构、学套路、学节奏——不抄原文、不照搬剧情、不复制人物。 套路(如打脸、扮猪吃老虎)是公共写作技法,可自由借鉴;具体文字、独创设定、剧情桥段受版权保护,不可复制。涉及同人/IP 见 fanfic-guide.md。

何时用

  • "这本书为什么火,帮我拆一下"
  • 对标某本爆款,想学它的写法
  • 提炼爆文的开篇/爽点/金手指/节奏模板
  • 想"照爆款结构写我自己的故事"

工作流

第 1 步:获取对标对象

用户提供书名/简介/章节文本,或描述这本书。 (要查它在平台的真实热度/同类爆款,用 trends 联网。已有拆解范例见 references/case-studies.md,可参照其拆解维度。)

第 2 步:六维拆解

按网文要素拆出结构(不复述原文):

【对标书】+ 平台 + 频道 + 题材
【一句话爆点】它的核心卖点是什么
【开篇结构】用了哪种开篇钩(调 hook-library)+ 几句立危机
【金手指】什么流派、怎么上线、怎么成长(调 goldfinger-types)
【爽点节奏】爽点类型 + 密度 + 升级链(调 trope-library)
【人物模板】主角记忆点 + 反派强度 + 关系张力
【章节节奏】单章字数、章尾钩规律、付费节点设计
【成功要素】它做对了哪 3 件事

第 3 步:提炼可复用模板

把"它的结构"抽象成"你能用的模板":

【可复用模板】
- 开篇公式:______(套你的题材)
- 金手指框架:______(换你的设定)
- 爽点链:______(换你的对手/场景)
- 节奏配方:______
【套用示范】用你的题材填一遍这个模板(原创内容)
【差异化提醒】别 1:1 复刻,至少换一个维度做出新鲜感

第 4 步:衔接创作

把模板喂给 idea/outline/spark,生成你自己原创的书。

原则

  • 输出的是抽象结构和方法,不是原文段落。
  • 永远提醒"换皮不够,要做差异化"(调 trope-library.md 反套路一节)。
  • 多本同类爆款一起拆,能看出"这个题材的公共成功公式"。

下一步

模板提炼好 → idea 落选题、outline 排大纲、spark 直接孵化初稿。

Frequently asked questions

What does the Deconstruct AI skill do?

拆解对标平台爆火网文,学结构不抄字。当用户想拆书、分析爆款小说为什么火、对标某本热门书、提炼爆文的开篇/爽点/金手指/节奏套路、或要"照着这本爆款的写法写我自己的"时使用。输出可复用的结构模板,严守不抄袭原创底线。

Why use Deconstruct on TypingMind?

Because you install it once and use it with any model. Deconstruct 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 Deconstruct in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/tance-mang/chinese-webnovel-skills/tree/main/skills/deconstruct. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Deconstruct?

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 Deconstruct?

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

Is the Deconstruct AI skill free?

Yes. It is published on GitHub by tance-mang 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.

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