pdf

Extract page-separated text and metadata from PDF files.

4|2|Updated Apr 10, 2026
One-click install
npx skills add https://github.com/ataskite/agentscope-demo --skill pdf-ataskite
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: pdf
Source: https://github.com/ataskite/agentscope-demo/tree/main/src/main/resources/skills/pdf
Command: npx skills add https://github.com/ataskite/agentscope-demo --skill pdf-ataskite

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

PDF files are widely used for document sharing, but their content is not natively editable, making manual text copying time-consuming and error-prone especially for long or multi-page documents.

Core Features & Use Cases

  • Full Text Extraction: The built-in parse_pdf tool extracts all text content from every page of a PDF file, including page separation and available metadata like document title and author.
  • Flexible Document Processing: Supports common PDF-related tasks including document summarization, key information extraction, question answering about PDF content, and cross-document content comparison.
  • Typical Use Case: When a user uploads a long research paper or contract PDF, use this skill to quickly retrieve its full text to generate summaries or answer specific content-related questions.

Quick Start

Use the pdf skill to extract all text from the uploaded PDF file and summarize its core content.

Frequently Asked Questions about pdf

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I extract text from a PDF file for document analysis?

To extract text from a PDF file, a text extraction tool parses the document to retrieve full page-separated text and metadata like title and author. This enables downstream document analysis such as summarization and question answering without manual copying.

Can I extract specific information from a long PDF without reading the whole document?

Yes, you can perform key information extraction from a long PDF by parsing the full text content. The extracted text allows you to query specific sections or generate summaries, bypassing the need to manually read the entire multi-page document.

Does PDF text extraction work for document summarization and content comparison?

PDF text extraction supports document summarization and cross-document content comparison by retrieving editable text from non-editable PDF files. Once the full page-separated text is extracted, it can be processed for summarization or compared against other documents.

What is the best way to answer questions about content locked inside a PDF?

The best way to answer questions about PDF content is to use a PDF parser tool that extracts all text from every page. This parsed text provides the necessary context for question answering models to retrieve accurate answers directly from the document.

Are there limitations when extracting metadata from PDF files?

Limitations of PDF metadata extraction include only retrieving available document metadata like title and author, meaning missing or improperly tagged metadata in the original file will not be generated. The tool primarily extracts full text content alongside any existing metadata.