Extract text, tables, and metadata from PDFs using Python libraries.
npx skills add https://github.com/ingjaviergomezm/el-camello --skill pdf-ingjaviergomezm
Please help me install this Agent Skill. Skill: pdf Source: https://github.com/ingjaviergomezm/el-camello/tree/main/skills/pdf Command: npx skills add https://github.com/ingjaviergomezm/el-camello --skill pdf-ingjaviergomezm
This skill automates a wide range of PDF tasks—from reading and extracting text and tables to merging, splitting, and form filling—eliminating manual, repetitive work.
Use this skill to process a PDF and produce a cleaned text extraction or a filled/merged document in a single run.
High-intent search queries and answers about installing and using this skill.
You can extract text and tables from PDFs using Python libraries like pdfplumber and pypdf. This skill automates reading and extracting structured data from multiple PDF files, handling various formats reliably for software workflows.
Automating PDF merging and splitting is handled deterministically using pypdf. The skill provides reliable steps to manipulate pages, merge multiple documents, or split them into individual files for batch processing workflows.
Yes, you can fill both fillable and non-fillable PDF forms programmatically. The skill supports form filling and generates annotated output documents, useful for automating archival records and data entry workflows.
For scanned PDF images, the skill leverages pdf2image and Pillow alongside pdfplumber to process image-based documents. This combination enables text extraction from PDFs where standard text parsing is insufficient.
You can apply watermarks and encrypt or decrypt PDFs within automated Python workflows using pypdf. The skill handles these manipulation tasks deterministically, ensuring secure document processing across batches.
While pypdf handles basic text and manipulation tasks, complex PDF table extraction works best with pdfplumber. The skill integrates both libraries to ensure reliable data extraction across diverse document structures.
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