Text Splitter

Community

VanGong1999

text-splitter

Split text into specified-sized chunks while maintaining semantic integrity. Suitable for long text batch processing, dividing text into processable segments

Overview

Publisher	VanGong1999
Repository	`screen-creative-skills`
Skill name	`text-splitter`
Stars	474
Forks	85
Bundled files	1
License	MIT
Links	Skill source Repository

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.
1 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.

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/VanGong1999/screen-creative-skills/tree/master/english-version/category/tools/text-splitter
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/VanGong1999/screen-creative-skills/tree/master/english-version/category/tools/text-splitter

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

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/english-version/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.

Text Splitter Tool

Functionality

Split text into specified-sized chunks while maintaining semantic integrity, facilitating subsequent batch processing and analysis.

Usage Scenarios

Process extra-long text by splitting it into agent-processable segments
Perform text preprocessing to provide standardized input for subsequent content analysis, summarization, or evaluation tasks
Optimize text processing workflows to ensure each processing unit is controllable in size and semantically complete

Core Capabilities

Semantic Integrity Priority: When splitting, avoid truncating sentences or paragraphs; prioritize splitting at natural boundaries (periods, line breaks) to ensure semantic integrity of each chunk
Preserve Original Format: During splitting, preserve the original format and structure of text, such as Markdown, HTML tags, etc.
Precise Chunk Size Control: Strictly split according to specified size limits, ensuring each text chunk does not exceed the preset maximum length
Multiple Splitting Strategies: Support various splitting strategies based on character count, token count, paragraph count, or specific delimiters

Input Requirements

Text Content: Original text to be split
Chunk Size Limit: Maximum length of each text chunk (recommend providing character count or token count)
Splitting Strategy (optional): Specify preferred splitting strategy, such as split by sentence, split by paragraph, split by specific delimiter, etc.

Output Format


[Text Splitting Report]

- Original text length: [integer] words/tokens
- Target chunk size: [integer] words/tokens
- Actual number of chunks: [integer] chunks

### Splitting Results
- Chunk 1 (length: [integer] words/tokens): "[content preview...]"
- Chunk 2 (length: [integer] words/tokens): "[content preview...]"
- Chunk 3 (length: [integer] words/tokens): "[content preview...]"
...

Constraints

Splitting results must strictly comply with specified chunk size limits
Ensure maximum preservation of text semantic integrity during splitting
Output format must be structured, clearly displaying content and length of each text chunk
Avoid introducing any extra information or explanations in output; only provide splitting results

Resources

examples.md

Bundled files

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

references/examples.md2 KB

Frequently asked questions

What does the Text Splitter AI skill do?

Split text into specified-sized chunks while maintaining semantic integrity. Suitable for long text batch processing, dividing text into processable segments

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/english-version/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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Text Splitter Tool

Functionality

Usage Scenarios

Core Capabilities

Input Requirements

Output Format

Constraints

Resources

Bundled files

Frequently asked questions

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