Pdf Metadata Extract

Organization

cas-bigdatalab

pdf_metadata_extract

提取PDF文件的元数据（标题、作者、主题、页数等），输出为JSON格式。当用户需要查看PDF文档信息时使用此skill。

Overview

Publisher	cas-bigdatalab
Repository	`piflow`
Skill name	`pdf_metadata_extract`
Stars	541
Forks	172
Bundled files	4
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.
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 Metadata Extract 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/cas-bigdatalab/piflow/tree/master/piflow_engine/cn/piflow/tests/workspace/skills/skills-json/pdf_metadata_extract
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/cas-bigdatalab/piflow/tree/master/piflow_engine/cn/piflow/tests/workspace/skills/skills-json/pdf_metadata_extract

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/cas-bigdatalab/piflow.git /tmp/piflow
mkdir -p .claude/skills
cp -r /tmp/piflow/piflow_engine/cn/piflow/tests/workspace/skills/skills-json/pdf_metadata_extract .claude/skills/pdf_metadata_extract

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Pdf Metadata 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 Metadata 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 Metadata 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_metadata_extract 技能

功能说明

该技能提取PDF文件的元数据（标题、作者、主题、页数等），输出为JSON格式，便于查看和处理PDF文档信息。

核心功能

提取PDF基本信息（文件名、大小、页数）
提取文档元数据（标题、作者、主题、创建者等）
提取日期信息（创建日期、修改日期）
检测PDF是否加密

使用方法

bash
python scripts/run_pdf_metadata_extract.py --input_path <输入PDF> --output_path <输出JSON>

参数说明

参数	类型	必填	默认值	说明
input_path	string	是	-	输入PDF文件路径
output_path	string	是	-	输出JSON文件路径

示例

bash
python scripts/run_pdf_metadata_extract.py --input_path document.pdf --output_path metadata.json

输出格式

json
{
  "file_name": "document.pdf",
  "file_size": 1024000,
  "pages": 20,
  "pdf_version": "PDF-1.7",
  "title": "Document Title",
  "author": "John Doe",
  "subject": "Document Subject",
  "creator": "Microsoft Word",
  "producer": "Microsoft Word 2016",
  "creation_date": "2024-01-15 10:30:00",
  "modification_date": "2024-01-15 14:20:00",
  "is_encrypted": false
}

注意事项

输出目录不存在时会自动创建
部分PDF可能没有完整的元数据，缺失字段会显示为null

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 Metadata Extract AI skill do?

提取PDF文件的元数据（标题、作者、主题、页数等），输出为JSON格式。当用户需要查看PDF文档信息时使用此skill。

Why use Pdf Metadata Extract on TypingMind?

Because you install it once and use it with any model. Pdf Metadata 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 Metadata 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_metadata_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 Metadata 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 Metadata Extract?

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

Is the Pdf Metadata 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

pdf_metadata_extract 技能

功能说明

核心功能

使用方法

参数说明

示例

输出格式

注意事项

Bundled files

Frequently asked questions

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