Process PDF and Create Note

Extract content from a PDF (URL or local file) and create a comprehensive knowledge graph note using question-oriented content synthesis.

Usage

/process-pdf <pdf_url_or_path> [note_filename]

Process

Step 1: Content Acquisition (PDF-Specific)

Access PDF content:

• If URL: Use mcp__firecrawl__firecrawl_scrape with PDF parser
• If local file: Use Read tool (supports PDF)
• Extract text, structure, and key information

Analyze document metadata:

• Extract title, authors, publication date if available
• Identify document type (academic paper, guide, report, technical spec, etc.)
• Note any special structure (abstract, sections, references)

Read the extracted content:

• This is the raw content to be synthesized

Step 2: Universal Content Processing

Follow the shared content synthesis pipeline documented in _shared_content_synthesis.md:

1. Apply Question-Oriented Content Synthesis

   • Phase 1: Central Question Discovery
   • Phase 2: Domain Question Extraction
   • Phase 3: Specific and Atomic Question Decomposition
   • Phase 4: Progressive Answer Development

2. Generate note structure and metadata

   • Determine filename based on central question
   • Assign 3-6 tags mixing dimensions
   • Create PDF-specific YAML frontmatter

3. MOC Integration

   • Read TOPICS.md to understand MOC structure
   • Identify appropriate MOC(s) for this note
   • Update MOC file(s) with wikilink and description

4. Relationship Discovery

   • Search for related notes in knowledge graph
   • Establish bidirectional relationships
   • Update related notes

PDF-Specific Note Structure

---
tags: [domain, topic, content-type]
source: <pdf_url_or_path>
document_title: "<title>"
authors: "<authors if applicable>"
date_added: <ISO_date>
---

# Note Title (Based on Central Question)

## Central Question

**Question**: [The single overarching question the document addresses]

**Executive Summary**: 2-3 paragraphs previewing key insights and how the document resolves the central question.

## Part I: [Domain Question 1]

### [Specific Question 1.1]

**Question**: [Clear, specific question from this section]

**Answer**: [Comprehensive response including:
- Direct answer to the question
- Supporting evidence from document (specific quotes, examples, data with page numbers)
- Technical details and concrete information
- Implications and connections to broader themes]

### [Specific Question 1.2]

**Question**: [Next specific question]

**Answer**: [Evidence-based response...]

## Part II: [Domain Question 2]

### [Specific Question 2.1]

**Question**: [Clear question]

**Answer**: [Comprehensive response with document evidence...]

[Continue with additional parts and sections as needed]

## Resolution: [Answer to Central Question]

Synthesize domain insights to definitively resolve the central question posed at the beginning.

## Related Concepts

### Prerequisites
- [[prerequisite]] - Why needed first

### Related Topics
- [[related]] - Connection explanation

### Extends
- [[base_concept]] - What this builds upon

## References

- [Document Title](<source>) - Brief description
- Authors: <authors>
- Accessed: <date>

Tools to Use

• mcp__firecrawl__firecrawl_scrape - For PDF URLs (with parser)
• Read - For local PDF files, read TOPICS.md and MOC files
• Grep - Find related notes in knowledge graph
• Write - Create new note following question-oriented structure
• Edit - Update MOC files to include new note, update related notes for bidirectional relationships

Critical Requirements

See _shared_content_synthesis.md for complete requirements. Key points:

• Synthesis Over Analysis: Create complete educational document, not meta-analysis of question structure
• Answer Integration Pattern: Every question paired with comprehensive, evidence-based answers
• MOC Integration: Ensure note is wired into knowledge graph via appropriate MOC(s)
• Bidirectional Relationships: Update both new note and related notes for discoverability