Extract text and tables from PDFs using pypdf and pdfplumber.
npx skills add https://github.com/VCasecnikovs/klava --skill pdf-vcasecnikovs
Please help me install this Agent Skill. Skill: pdf Source: https://github.com/VCasecnikovs/klava/tree/main/.claude/skills/pdf Command: npx skills add https://github.com/VCasecnikovs/klava --skill pdf-vcasecnikovs
PDF workflows are often manual and error-prone, requiring repetitive tasks like extracting text, pulling data from tables, and filling forms across many documents; this skill bundles a robust toolkit to automate those tasks.
Run a sample to extract text from a PDF and save results to your output directory.
High-intent search queries and answers about installing and using this skill.
To extract text and data from PDFs, this skill uses pypdf to parse document content and consolidate information. It processes hundreds of files to pull line items and populate reports for invoice digitization and archival workflows.
Yes, you can automate PDF form processing across many files. The skill handles form filling, merging, splitting, and annotating documents to streamline repetitive compliance and invoicing workflows reliably.
Yes, rendering PDF pages to images is supported. Using the pdf2image and Pillow dependencies, the skill transforms pages into image formats, enabling visual document processing and annotated output generation.
The best way to merge and split PDFs for document management is using this skill's Python-based automation. It creates, merges, and divides documents while automating form handling for archival and compliance workflows.
Yes, pypdf is required. This skill relies on pypdf alongside pdf2image and Pillow to provide capabilities for parsing PDFs, creating new documents, extracting data, and rendering pages to images.
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