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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.

Stars

0

Installs

0

Status

ACTIVE

Visibility

PUBLIC

安装方式

直接复制以下提示词,发送给你的 AI 助手即可完成安装。

请先检查是否已安装 SkillHub 商店,若未安装,请根据 https://skillhub-1388575217.cos.ap-guangzhou.myqcloud.com/install/skillhub.md 安装 SkillHub 商店,然后安装 image-breaker 技能。 若已安装,则直接安装 image-breaker 技能。

Overview

Skill Key
biohackerrrrrr/image-breaker
Author
biohackerrrrrr
Source Repo
openclaw/skills
Version
-
Source Path
skills/biohackerrrrrr/image-breaker
Latest Commit SHA
70ca44be0e2c56ea09f1bf970399b8de0c18a3b7

Extracted Content

SKILL.md excerpt

# 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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