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Text Splitter

Community
VanGong1999
text-splitter

将文本分割成指定大小的块,保持语义完整性。适用于长文本批处理、将文本分割为可处理的片段

Overview

PublisherVanGong1999
Repositoryscreen-creative-skills
Skill nametext-splitter
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 Text Splitter 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/tools/text-splitter
  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/tools/text-splitter .claude/skills/text-splitter
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Text Splitter 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 Text Splitter 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 Text Splitter 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.

文本分割工具

功能

将文本分割成指定大小的块,保持语义完整性,便于后续的批处理和分析。

使用场景

  • 处理超长文本,将其拆分为智能体可处理的片段。
  • 进行文本预处理,为后续的内容分析、摘要或评估任务提供标准化输入。
  • 优化文本处理流程,确保每个处理单元的大小可控且语义完整。

核心能力

  • 语义完整性优先: 在分割时尽量避免截断句子或段落,优先在自然边界处(如句号、换行符)分割,确保每个块的语义完整性。
  • 保持原始格式: 在分割过程中,努力保留文本的原始格式和结构,例如Markdown、HTML标签等。
  • 精确控制块大小: 严格按照指定的大小限制进行分割,确保每个文本块不超过预设的最大长度。
  • 多种分割策略: 支持基于字符数、token数、段落数或特定分隔符等多种分割策略。

输入要求

  • 文本内容: 待分割的原始文本。
  • 块大小限制: 每个文本块的最大长度(建议提供字符数或 token 数)。
  • 分割策略(可选): 指定分割时优先考虑的策略,如按句分割、按段落分割、按特定分隔符分割等。

输出格式

【文本分割报告】

- 原始文本长度: [整数] 字/Token
- 目标块大小: [整数] 字/Token
- 实际分割块数: [整数] 块

### 分割结果
- 块1 (长度: [整数] 字/Token): "[内容预览...]"
- 块2 (长度: [整数] 字/Token): "[内容预览...]"
- 块3 (长度: [整数] 字/Token): "[内容预览...]"
...

约束条件

  • 分割结果必须严格符合指定的块大小限制。
  • 确保在分割时最大限度地保持文本的语义完整性。
  • 输出格式必须结构化,清晰展示每个文本块的内容和长度。
  • 避免在输出中引入任何额外信息或解释,只提供分割结果。

硬性约束

  • 优先按章节、场次、空行等自然边界分割
  • 单段尽量语义完整,避免从对话中间切断
  • 输出保留顺序索引,便于后续合并

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 Text Splitter AI skill do?

将文本分割成指定大小的块,保持语义完整性。适用于长文本批处理、将文本分割为可处理的片段

Why use Text Splitter on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/VanGong1999/screen-creative-skills/tree/master/category/tools/text-splitter. 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 Text Splitter?

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 Text Splitter?

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

Is the Text Splitter 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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