Pdf Text Extraction

Organization

cxcscmu

pdf-text-extraction

Extract text content from PDF files for analysis and classification

Overview

Publisher	cxcscmu
Repository	`SkillLearnBench`
Skill name	`pdf-text-extraction`
Stars	91
Forks	7
Bundled files	Instructions only
License	MIT
Links	Skill source Repository Homepage

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.
Self-contained
Everything the model needs lives in the instructions — no extra files to sync.
Open source
Published by cxcscmu on GitHub. Read the source before you install it.

Installation

Install the Pdf Text Extraction 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/cxcscmu/SkillLearnBench/tree/main/skills/b1-one-shot-claude-haiku-4-5/organize-messy-files/pdf-text-extraction
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/cxcscmu/SkillLearnBench/tree/main/skills/b1-one-shot-claude-haiku-4-5/organize-messy-files/pdf-text-extraction

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/cxcscmu/SkillLearnBench.git /tmp/SkillLearnBench
mkdir -p .claude/skills
cp -r /tmp/SkillLearnBench/skills/b1-one-shot-claude-haiku-4-5/organize-messy-files/pdf-text-extraction .claude/skills/pdf-text-extraction

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

Use it in TypingMind

Enable Pdf Text Extraction 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 Extraction 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 Extraction 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 Extraction

Overview

Extract text content from PDF files to analyze their content and classify them by subject.

Installation

bash
pip install pdfplumber PyPDF2

Usage Examples

Using pdfplumber (Recommended)

python
import pdfplumber

def extract_pdf_text(pdf_path, max_chars=5000):
    """Extract text from PDF with character limit for efficiency"""
    try:
        with pdfplumber.open(pdf_path) as pdf:
            text = ""
            # Read first few pages to get representative content
            for page_num in range(min(3, len(pdf.pages))):
                text += pdf.pages[page_num].extract_text() or ""
                if len(text) > max_chars:
                    break
            return text[:max_chars]
    except Exception as e:
        return f"Error reading PDF: {str(e)}"

Using PyPDF2 (Fallback)

python
from PyPDF2 import PdfReader

def extract_pdf_text_pypdf(pdf_path):
    """Alternative PDF text extraction"""
    try:
        reader = PdfReader(pdf_path)
        text = ""
        for page in reader.pages[:3]:  # First 3 pages
            text += page.extract_text()
        return text
    except Exception as e:
        return f"Error: {str(e)}"

Best Practices

Extract from first 2-3 pages only (faster, usually contains abstracts/titles)
Handle errors gracefully for corrupted PDFs
Cache extracted text to avoid re-processing
Use reasonable character limits (3000-5000 chars) for classification

Frequently asked questions

What does the Pdf Text Extraction AI skill do?

Extract text content from PDF files for analysis and classification

Why use Pdf Text Extraction on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/cxcscmu/SkillLearnBench/tree/main/skills/b1-one-shot-claude-haiku-4-5/organize-messy-files/pdf-text-extraction. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Pdf Text Extraction?

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 Extraction?

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

Is the Pdf Text Extraction AI skill free?

Yes. It is published on GitHub by cxcscmu 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

PDF Text Extraction

Overview

Installation

Usage Examples

Using pdfplumber (Recommended)

Using PyPDF2 (Fallback)

Best Practices

Frequently asked questions

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