Annotate logo

Annotate

Community
tance-mang
annotate

中文网文正文标注与节奏可视化。当用户要在正文里标出钩子/爽点/高潮/打脸/伏笔的位置、看一章的节奏分布、检查爽点密度、或标记和建议修饰词(短平快爽文爱加的强化词)时使用。产出带标签的正文 + 节奏数据表,方便作者直观看数据。

Overview

Publishertance-mang
Repositorychinese-webnovel-skills
Skill nameannotate
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 Annotate 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/annotate
  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/annotate .claude/skills/annotate
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Annotate 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 Annotate 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 Annotate 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.

正文标注与节奏可视化(annotate)

把一章正文"透视"出来:钩子在哪、爽点几个、高潮在第几段、修饰词够不够。让作者一眼看见自己的节奏数据。

何时用

  • 想看"这章爽点够不够、钩子在哪、节奏对不对"
  • 标记/检查修饰词(短平快爽文的"味儿"词)
  • 给一章做发布前的可视化体检
  • 和 review 的区别:review 是整卷/整书的宏观五维诊断;annotate 是单章逐段的微观标注

工作流

第 1 步:逐段标注(输出带标签的正文)

把用户的正文按段落标注,行内插入标签:

  • 【钩】 钩子(开篇钩/章尾钩/段落悬念)
  • 【爽】 爽点(逆袭/打脸/碾压等,调 references/trope-library.md)
  • 【高潮】 本章情绪顶点
  • 【脸】 打脸桥段(标出四拍:嘲讽/沉默/碾压/围观)
  • 【伏】 伏笔埋点
  • 【修】 修饰词(标出已用的强化词/围观反应词,调 references/xiushi-ci.md)
  • 【缓】 节奏舒缓段

第 2 步:输出节奏数据表

【本章体检表】
字数:____
钩子:开篇钩 ✓/✗ 章尾钩 ✓/✗ 段落悬念 __ 个
爽点:__ 个(类型:打脸/逆袭/…)|密度评价:达标/偏少(按平台)
高潮:在第 __ 段|情绪强度:__/5
打脸四拍:嘲讽__ 沉默__ 碾压__ 围观__(缺哪拍标出)
修饰词:强化词__ 围观反应__ |密度:合适/偏少/过载(油腻)
伏笔:埋__ 个 回收__ 个
节奏曲线:紧—缓—紧 是否有呼吸感
AI 味(粗判):比喻密度/连续同句式/句长波动 有无异常 → 要量化评分用 `aidetect`

第 3 步:给改进建议

  • 爽点断档的段 → 建议补什么(指到段)
  • 打脸缺了"围观"拍 → 建议加围观反应词(给 2-3 个候选,调 xiushi-ci.md)
  • 修饰词偏少的爽点句 → 建议在哪句加什么词
  • 修饰词过载的段 → 建议删到 2-3 个(避免油腻/AI 味)
  • 章尾收尾平淡 → 建议换哪种章尾钩(调 hook-library.md)

原则

  • 标注要落到段/句,不空泛。
  • 修饰词建议遵循"稀疏使用、峰值集中、频道有别"(见 references/xiushi-ci.md)。
  • 按平台判断密度:番茄要密,起点可疏(调 references/platform-profiles.md)。
  • 男频重"猛/爽/燃"的强化词与围观反应,女频重神态/情绪词。

下一步

按标注 → 用 expand 重写弱段、shuangdian 补打脸、deslop 清理过载修饰词;要 AI 味量化评分+定位 → aidetect。

Frequently asked questions

What does the Annotate AI skill do?

中文网文正文标注与节奏可视化。当用户要在正文里标出钩子/爽点/高潮/打脸/伏笔的位置、看一章的节奏分布、检查爽点密度、或标记和建议修饰词(短平快爽文爱加的强化词)时使用。产出带标签的正文 + 节奏数据表,方便作者直观看数据。

Why use Annotate on TypingMind?

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

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

Which AI models can use Annotate?

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 Annotate?

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

Is the Annotate 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.

View all

Set up your own AI workspace now

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