unsiloed

Convert PDF manuals and SOPs into Markdown and JSON knowledge chunks.

Updated Jun 6, 2026
One-click install
npx skills add https://github.com/J4Joshua/manuaI --skill unsiloed
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: unsiloed
Source: https://github.com/J4Joshua/manuaI/tree/main/.agents/skills/unsiloed
Command: npx skills add https://github.com/J4Joshua/manuaI --skill unsiloed

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill solves the challenge of converting complex factory manuals and SOP PDFs into structured, searchable knowledge while preserving the evidence needed for reliable citations.

Core Features & Use Cases

  • Document Parsing: Extracts Markdown and JSON representations from manuals while preserving tables, sections, pages, bounding boxes, and confidence metadata.
  • Ingestion Preparation: Builds procedure-level chunks with machine identifiers, safety flags, and citation metadata for offline retrieval systems.
  • Use Case: Transform a collection of factory SOP PDFs into grounded retrieval data for an offline AI assistant that can answer operator questions with exact procedure references.

Quick Start

Use the unsiloed skill to parse the attached factory SOP PDF and prepare citation-ready Markdown and JSON chunks for retrieval.

Frequently Asked Questions about unsiloed

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

FAQPage Schema
How do I convert SOP PDFs into structured Markdown for retrieval?

You can parse factory SOP PDFs into structured Markdown and JSON chunks by using this Skill to extract page information, bounding boxes, and confidence data while preserving section structure for offline AI retrieval.

What is the best way to extract tables and text from factory manuals with OCR?

To extract tables from factory manuals with OCR, this Skill parses documents while preserving table structures and page information, outputting structured Markdown and JSON chunks with confidence metadata for reliable citations.

Can I generate citation metadata and safety flags from PDF procedure documents?

Yes, this Skill extracts citation metadata and safety flags from PDF procedure documents, building procedure-level chunks with machine identifiers and confidence data for grounded retrieval in offline AI systems.

Does this PDF parsing approach preserve page numbers and bounding boxes for citations?

Yes, this PDF parsing approach preserves page numbers, bounding boxes, and confidence data. It requires document parsing configuration that retains segment structure to generate citation-ready Markdown and JSON chunks for retrieval.

How do I prepare ingested PDF manual chunks for an offline AI assistant?

You prepare ingested PDF manual chunks for an offline AI assistant by converting SOP documents into structured Markdown and JSON chunks with safety flags and citation metadata, enabling grounded responses with exact procedure references.

When do I need JSON metadata extraction during document ingestion?

JSON metadata extraction is needed during document ingestion when building offline AI systems that require grounded retrieval with exact procedure references, safety flags, and confidence data from factory manuals and SOP documents.