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Pdf Text Extract

Organization
cas-bigdatalab
pdf_text_extract

从PDF文件中提取文本内容,保存为txt文件。当用户需要从PDF中提取文字时使用此skill。

Overview

Publishercas-bigdatalab
Repositorypiflow
Skill namepdf_text_extract
Stars
541
Forks
172
Bundled files
4
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.

  • 4 bundled files

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

  • Open source

    Published by cas-bigdatalab on GitHub. Read the source before you install it.

Installation

Install the Pdf Text Extract 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/cas-bigdatalab/piflow/tree/master/piflow_engine/cn/piflow/tests/workspace/skills/skills-json/pdf_text_extract
  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/cas-bigdatalab/piflow.git /tmp/piflow
mkdir -p .claude/skills
cp -r /tmp/piflow/piflow_engine/cn/piflow/tests/workspace/skills/skills-json/pdf_text_extract .claude/skills/pdf_text_extract
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Pdf Text Extract 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 Pdf Text Extract 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 Pdf Text Extract 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.

pdf_text_extract 技能

功能说明

该技能从PDF文件中提取文本内容,保存为txt文件,适用于需要从PDF中提取可编辑文本的场景。

核心功能

  • 提取PDF中的文本内容
  • 支持指定页码范围提取
  • 按页码分隔输出
  • 自动创建输出目录

使用方法

bash
python scripts/run_pdf_text_extract.py --input_path <输入PDF> --output_path <输出TXT> [--pages <页码范围>]

参数说明

参数类型必填默认值说明
input_pathstring是-输入PDF文件路径
output_pathstring是-输出txt文件路径
pagesstring否全部页码范围,如"1-3,5"

示例

示例1:提取全部页面文本

bash
python scripts/run_pdf_text_extract.py --input_path document.pdf --output_path text.txt

示例2:提取指定页码文本

bash
python scripts/run_pdf_text_extract.py --input_path document.pdf --output_path text.txt --pages "1-10"

输出格式

--- Page 1 ---
这是第一页的文本内容...

--- Page 2 ---
这是第二页的文本内容...

注意事项

  • 扫描版PDF(图片格式)无法提取文本,需使用pdf_ocr技能
  • 输出目录不存在时会自动创建
  • 文本提取结果受PDF质量影响,部分PDF可能提取效果不佳

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 Pdf Text Extract AI skill do?

从PDF文件中提取文本内容,保存为txt文件。当用户需要从PDF中提取文字时使用此skill。

Why use Pdf Text Extract on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/cas-bigdatalab/piflow/tree/master/piflow_engine/cn/piflow/tests/workspace/skills/skills-json/pdf_text_extract. 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 Pdf Text Extract?

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 Pdf Text Extract?

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

Is the Pdf Text Extract AI skill free?

It is published on GitHub by cas-bigdatalab. Check the repository for licensing terms. 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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