maxvaega

pdf-extractor

Extract and convert PDF documents using Python scripts

maxvaega 146 20 Updated 9mo ago

Resources

1
GitHub

Install

npx skillscat add maxvaega/skillkit/pdf-extractor

Install via the SkillsCat registry.

About this skill

This skill extracts text, metadata, and structured data from PDF documents and converts them into formats like Markdown, HTML, or plain text. It solves the problem of accessing machine-readable content from static PDF files. Developers should use it when an agent needs to parse tables, forms, or document information for further processing.

SKILL.md

PDF Extractor Skill

This skill provides tools for extracting text and metadata from PDF documents and converting them to different formats.

Available Scripts

extract.py

Extracts text and metadata from PDF files.

Input:

{
  "file_path": "/path/to/document.pdf",
  "pages": "all" | [1, 2, 3]
}

Output:

{
  "text": "Extracted text content...",
  "metadata": {
    "title": "Document Title",
    "author": "Author Name",
    "pages": 10
  }
}

convert.sh

Converts PDF files to different formats (text, markdown, etc.).

Input:

{
  "input_file": "/path/to/input.pdf",
  "output_format": "txt" | "md" | "html"
}

parse.py

Parses structured data from PDF forms and tables.

Input:

{
  "file_path": "/path/to/form.pdf",
  "extract_tables": true,
  "extract_forms": true
}

Usage Example

from skillkit import SkillManager

manager = SkillManager()
result = manager.execute_skill_script(
    skill_name="pdf-extractor",
    script_name="extract",
    arguments={"file_path": "document.pdf", "pages": "all"}
)

if result.success:
    print(result.stdout)