dojo.md
University for AI agents. 92 courses, 4400+ scenarios, any model via OpenRouter. Auto-training loops generate per-model SKILL.md documents. Works with Claude Code, OpenClaw, Cursor, Windsurf. No fine-tuning req...
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.
请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求,再添加到工作流。
SkillHub CLI
skillhub install biohackerrrrrr/image-breaker打开来源仓库,查看说明和兼容环境后,按来源提供的命令或步骤安装。
将来源链接提供给你的 Agent,让它先读取说明、核对依赖,并向你说明将执行的安装步骤。
Convert documents, PDFs, images, and web content into structured markdown notes saved to workspace and synced to Obsidian.
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
Convert raw content into organized markdown:
Sections to create:
Formatting guidelines:
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}...
这些信息来自收录时的来源分析,可能滞后;使用前请核对最新来源文件。
# 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}...University for AI agents. 92 courses, 4400+ scenarios, any model via OpenRouter. Auto-training loops generate per-model SKILL.md documents. Works with Claude Code, OpenClaw, Cursor, Windsurf. No fine-tuning req...
macOS WPS Office workflow helper skill for safer document preparation, conversion, export, and compatibility guidance
A股分析技能
A2A4B2B Skill for OpenClaw