pdf-processing

Extract text and metadata from PDFs and index them into the nx store.

4|Updated Feb 21, 2026
One-click install
npx skills add https://github.com/Hellblazer/nexus --skill pdf-processing-hellblazer
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: pdf-processing
Source: https://github.com/Hellblazer/nexus/tree/main/nx/skills/pdf-processing
Command: npx skills add https://github.com/Hellblazer/nexus --skill pdf-processing-hellblazer

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

PDFs are often scattered and not easily searchable; indexing them into the nx store enables semantic search across documents and knowledge bases.

Core Features & Use Cases

  • Ingest PDFs into the nx store with layout-preserving text extraction
  • Extract metadata (title, author, date) and create embeddings for fast retrieval
  • Use Case: import technical manuals, research papers, or manuals to build a navigable knowledge base

Quick Start

Index PDFs into the nx store by invoking the pdf-processing skill and pointing it at your PDF assets to add them to the nx store.

Frequently Asked Questions about pdf-processing

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

FAQPage Schema
How do I index PDFs for semantic search in a knowledge base?

To index PDFs for semantic search, the skill reads your PDF files, extracts text and metadata, chunks the content for embeddings, and stores the results in the nx store for fast retrieval.

What is the best way to extract text and metadata from technical manuals in PDF format?

The best way to extract text and metadata from technical manuals is using layout-preserving text extraction, which captures the title, author, and date while preparing the content for embedding and indexing.

Can I import research papers into the nx store to build a searchable knowledge base?

Yes, you can import research papers into the nx store. The skill ingests the PDFs, extracts text and metadata, and indexes the chunked content to build a navigable and searchable knowledge base.

Does PDF indexing chunk content automatically before creating embeddings?

Yes, PDF indexing automatically chunks the extracted text content before creating embeddings. This chunking process ensures the content is properly formatted for fast retrieval in the nx store.

What limitations exist when performing layout-preserving text extraction on PDFs?

The metadata does not specify explicit limitations for layout-preserving text extraction, but successful indexing depends on the PDF having selectable text rather than scanned images for accurate extraction and chunking.