Rechercher

PythonReactSEOPDF
OpenClaw

image-breaker

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.

biohackerrrrrr0 installations selon la source☆ 0 Étoiles du dépôt

Installation

Suivez les instructions du dépôt pour votre agent. Consultez les fichiers et dépendances avant l’installation.

SkillHub CLI

skillhub install biohackerrrrrr/image-breaker

Examinez la source et la compatibilité, puis suivez les étapes d’installation.

Donnez le lien à votre agent et demandez-lui d’examiner instructions et dépendances avant d’expliquer les étapes.

Voir la source ↗Guides

Instructions

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}...

Informations sur la source

Source
github
Repository
openclaw/skills
Path
skills/biohackerrrrrr/image-breaker
Version
—
Commit
70ca44be0e2c56ea09f1bf970399b8de0c18a3b7
Source de classification
rules
Statut
active
Visibilité
public

Ces informations proviennent de l’analyse indexée et peuvent être anciennes. Vérifiez les fichiers actuels.

Contenu extrait

SKILL.md
# 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}...

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