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Novel Truncator

Community
VanGong1999
novel-truncator

智能截断文本,保持内容完整性。适用于小说文本预处理、确保文本不超过指定长度限制

Overview

PublisherVanGong1999
Repositoryscreen-creative-skills
Skill namenovel-truncator
Stars
474
Forks
85
Bundled files
2
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.

  • 2 bundled files

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

  • Open source

    Published by VanGong1999 on GitHub. Read the source before you install it.

Installation

Install the Novel Truncator 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/VanGong1999/screen-creative-skills/tree/master/category/novel-screening/novel-truncator
  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/VanGong1999/screen-creative-skills.git /tmp/screen-creative-skills
mkdir -p .claude/skills
cp -r /tmp/screen-creative-skills/category/novel-screening/novel-truncator .claude/skills/novel-truncator
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Novel Truncator 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 Truncator 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 Truncator 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.

文本截断工具(小说版)

功能

接收文本内容与最大长度限制,智能截断文本,保持内容完整性。

使用场景

  • 对长篇小说文本进行预处理,使其符合长度限制。
  • 在不破坏语义完整性的前提下,截取文本片段。
  • 确保输入到其他智能体的文本不超过其处理能力。

截断原则

  1. 优先句子结束: 在句号、问号、感叹号处断开。
  2. 其次段落结束: 在空格、换行符处断开。
  3. 最后指定长度: 确保不超过设定的最大长度限制。

输入要求

  • 文本内容: 待截断的原始文本(字符串)。
  • 最大长度限制: 目标文本的最大字符数(整数)。
  • 截断标记(可选): 用于标识文本截断位置的字符串,如 "[...]"。

输出格式

【文本截断报告】

原始长度:[字符数]
截断后长度:[字符数]
截断位置:[位置描述,如:在第 X 句句号处]

截断后的文本:
[文本内容]

约束条件

  • 截断过程应最大限度地保留原文的语义和语境完整性。
  • 严格遵守最大长度限制。
  • 避免在词语中间进行截断。

参考资料

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 Truncator AI skill do?

智能截断文本,保持内容完整性。适用于小说文本预处理、确保文本不超过指定长度限制

Why use Novel Truncator on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/VanGong1999/screen-creative-skills/tree/master/category/novel-screening/novel-truncator. 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 Truncator?

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 Truncator?

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

Is the Novel Truncator AI skill free?

Yes. It is published on GitHub by VanGong1999 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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