pdf

Extract text and tables from PDF documents using Python libraries.

7|2|Updated Apr 13, 2026
One-click install
npx skills add https://github.com/SJTU-IPADS/SkVM-data --skill pdf-sjtu-ipads
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: pdf
Source: https://github.com/SJTU-IPADS/SkVM-data/tree/main/skills/pdf
Command: npx skills add https://github.com/SJTU-IPADS/SkVM-data --skill pdf-sjtu-ipads

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

PDFs often require repeated manual tasks for extracting text, tables, or data, merging documents, creating new PDFs, and filling forms. This Skill provides a programmable toolkit to automate these tasks at scale.

Core Features & Use Cases

  • Extract text and tables from PDFs for data pipelines and archival purposes.
  • Create, merge, and split PDFs to support document workflows.
  • Fill forms and modify PDF structure programmatically for batch processing.

Quick Start

Instruct your automation agent to extract all text and tables from document.pdf and export the data to a structured format for downstream processing.

Frequently Asked Questions about pdf

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

FAQPage Schema
How do I extract text and tables from PDF documents for data pipelines?

You can extract text and tables from PDF documents programmatically, which automates data ingestion for pipelines and archival digitization workflows to eliminate repeated manual extraction tasks.

Can I automate filling forms and modifying PDF structure for batch processing?

Yes, you can automate filling forms and modifying PDF structure programmatically for batch processing, which removes the need for repeated manual tasks when handling multiple documents at scale.

What Python libraries do I need to parse, extract, and compose PDF content?

You need pypdf, pdfplumber, and reportlab to parse, extract, and compose PDF content, enabling automated text and table extraction alongside document generation workflows.

What is the best way to create, merge, and split PDFs to support document workflows?

The best way to create, merge, and split PDFs to support document workflows is by automating these tasks programmatically, which handles document composition and separation without manual intervention.

Does this approach work for generating new PDFs and exporting structured data?

Yes, this approach works for generating new PDFs and exporting structured data, applying data ingestion and report generation workflows to programmatically compose documents and extract content for downstream processing.