Skill: biohackerrrrrr/image-breaker (version 1.0.0)

--- name: image-breaker description: Extract and break down content from web documents, PDFs, images, and URLs into structured markdown notes stored locally and synced to Obsidian. Use when the user shares a URL, PDF, screenshot, or document and wants the content converted to organized notes with proper tagging and categorization. --- # 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: ```python # 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


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: suspicious (CRITICAL)