Image Breaker

Convert documents, PDFs, images, and web content into structured markdown notes saved to workspace and synced to Obsidian.

Workflow

1. Extract Content

For URLs/PDFs:

Use web_fetch to extract content

For images:

Use image tool to analyze and extract text

For already-analyzed content:

User may paste content directly or you've already extracted it

2. Structure the Content

Convert raw content into organized markdown:

Sections to create:

• Overview - What is this document/content about?
• Key Points - Bullet list of main takeaways
• Detailed Breakdown - Organized subsections with headers
• Reference Ranges/Standards (if applicable) - Tables for numerical data
• Action Items (if applicable) - What to do with this information
• Source - Original URL or document name

Formatting guidelines:

• Use tables for numerical data (reference ranges, standards, comparisons)
• Use bullet lists for key points
• Use headers (##, ###) for organization
• Include code blocks for technical content
• Bold important terms on first mention

3. Save and Sync

Create the markdown note with proper frontmatter and save to workspace:

# Prepare frontmatter
date = "2026-02-10"
tags = ["research", "bloodwork", "nmr"]  # Auto-assigned based on content
title = "NMR Lipid Panel Reference Ranges"

# Build full markdown content
content = f"""---
date: {date}
tags:
  - {tag1}
  - {tag2}
  - {tag3}
source: {original_url_or_source}
type: image-breaker-note
---

# {title}

## Overview
[Brief description of what this document is]

## Key Points
- Point 1
- Point 2
- Point 3

## [Main Section]
[Detailed content with subsections]

## Reference
- **Source:** [URL or document name]
- **Extracted:** {date}
"""

# Save to workspace
output_dir = "research/image-breaker-notes"  # Default
# or user-specified: "research/bloodwork", "content/references", etc.

# Write file
filepath = f"{output_dir}/{date}-{slugified-title}.md"
write(filepath, content)

# Sync to Obsidian (using obsidian-sync skill)
exec: python3 skills/obsidian-sync/scripts/sync_to_obsidian.py {filepath} /Users/biohacker/Desktop/Connections ImageBreaker

Tag Assignment

Auto-assign 3 most relevant tags based on content:

Common tags:

• research

  - Academic papers, studies, references

• bloodwork

  - Lab results, biomarkers, panels

• nmr

  - NMR lipid panels specifically

• cholesterol

  - Cholesterol and lipid-related

• peptides

  - BPC-157, TB-500, etc.

• supplements

  - Vitamins, minerals, compounds

• protocols

  - Treatment/optimization protocols

• founders

  - Business/entrepreneur health content

• longevity

  - Anti-aging, healthspan

• performance

  - Cognitive/physical optimization

• training

  - Exercise, workouts

• toku

  - Nattokinase, Toku Flow related

Prioritize specific tags over generic ones.

Output Directories

Default:

research/image-breaker-notes/

Content-specific alternatives:

• Research documents →

  research/papers/

  or

  research/protocols/

• Lab results →

  research/bloodwork/

• Marketing materials →

  content/references/

• Training content →

  research/training/

• Business documents →

  projects/business-docs/

Choose the most appropriate directory based on content type.

Example Usage

User provides Labcorp NMR document URL:

1. Extract content using

   web_fetch

2. Structure into markdown with:
   • Overview of what NMR measures
   • Key reference ranges table
   • Interpretation guide
   • Comparison to standard lipids
3. Assign tags:

   bloodwork

   ,

   nmr

   ,

   research

4. Save to

   research/image-breaker-notes/2026-02-10-nmr-lipid-panel-reference.md

5. Sync to Obsidian vault at

   ImageBreaker/2026-02-10-nmr-lipid-panel-reference.md

6. Report to user with file path and Obsidian link

Best Practices

• Always extract content first - Use web_fetch or image tool before structuring
• Create comprehensive notes - Include context, not just raw data
• Use tables for data - Reference ranges, comparisons, standards
• Tag intelligently - Maximum 3 tags, most specific/relevant
• Choose output directory wisely - Match content type to workspace organization
• Auto-sync by default - User wants notes in Obsidian for cross-referencing
• Report file location - Give user both workspace and Obsidian paths

Output Message Template

After completing the workflow:

✅ **Document broken down and saved**

📝 **Title:** [Note Title]
📂 **Location:** research/image-breaker-notes/2026-02-10-note-title.md
🔗 **Obsidian:** ImageBreaker/2026-02-10-note-title.md
🏷️  **Tags:** tag1, tag2, tag3

**Sections created:**
- Overview
- Key Points  
- [Main sections listed]
- Reference

The note is now in your Obsidian vault for tagging and cross-referencing.

Integration with Other Skills

Obsidian Sync: Automatically called after note creation
Paper Fetcher: If user provides DOI, use paper-fetcher first, then break down the PDF
Research Automation: Can batch-process multiple documents from research runs