pdf-ingestion
CommunityEfficiently ingest PDFs into the model while preserving structure.
Software Engineering#document processing#pdf#text extraction#context preservation#data summarization
AuthorArchive228
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill allows for the ingestion of PDF documents into the model without losing structure or blowing the context window, providing a better experience for both the model and the user.
Core Features & Use Cases
- Native PDF Input: Directly pass the file to preserve layout and structure, ideal for short documents.
- Text Extraction: Convert PDF text using tools like
pdftotextfor prose-heavy documents, losing layout but preserving content. - Extract → Chunk → Summarize: Process long documents by extracting, chunking, summarizing, and caching for repeated queries.
- Use Case: Summarize a 200-page technical report with multiple sections, ensuring the summary is contextually relevant and easy to follow.
Quick Start
Use the pdf-ingestion skill to summarize the first section of the PDF document 'report.pdf'.
Dependency Matrix
Required Modules
pdftotextpypdf
Components
scriptsreferences
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: pdf-ingestion Download link: https://github.com/Archive228/loopkit/archive/main.zip#pdf-ingestion Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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